[{"volume":75,"user_id":"85414","_id":"62767","publisher":"Springer Science and Business Media LLC","page":"1377-1406","status":"public","quality_controlled":"1","citation":{"mla":"Najafi Koopas, Rasoul, et al. “Introducing a Microstructure-Embedded Autoencoder Approach for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric Space.” <i>Computational Mechanics</i>, vol. 75, no. 4, Springer Science and Business Media LLC, 2024, pp. 1377–406, doi:<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>.","ama":"Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space. <i>Computational Mechanics</i>. 2024;75(4):1377-1406. doi:<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>","bibtex":"@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space}, volume={75}, DOI={<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>}, number={4}, journal={Computational Mechanics}, publisher={Springer Science and Business Media LLC}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024}, pages={1377–1406} }","apa":"Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., &#38; Lammering, R. (2024). Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space. <i>Computational Mechanics</i>, <i>75</i>(4), 1377–1406. <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">https://doi.org/10.1007/s00466-024-02568-z</a>","ieee":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space,” <i>Computational Mechanics</i>, vol. 75, no. 4, pp. 1377–1406, 2024, doi: <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>.","chicago":"Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald, and Rolf Lammering. “Introducing a Microstructure-Embedded Autoencoder Approach for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric Space.” <i>Computational Mechanics</i> 75, no. 4 (2024): 1377–1406. <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">https://doi.org/10.1007/s00466-024-02568-z</a>.","short":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Computational Mechanics 75 (2024) 1377–1406."},"doi":"10.1007/s00466-024-02568-z","language":[{"iso":"eng"}],"intvolume":"        75","publication_status":"published","date_updated":"2025-12-03T12:51:26Z","author":[{"full_name":"Najafi Koopas, Rasoul","first_name":"Rasoul","last_name":"Najafi Koopas"},{"last_name":"Rezaei","first_name":"Shahed","full_name":"Rezaei, Shahed"},{"first_name":"Natalie","last_name":"Rauter","full_name":"Rauter, Natalie"},{"id":"106876","first_name":"Richard","last_name":"Ostwald","orcid":"0000-0003-2147-8444","full_name":"Ostwald, Richard"},{"full_name":"Lammering, Rolf","last_name":"Lammering","first_name":"Rolf"}],"publication_identifier":{"issn":["0178-7675","1432-0924"]},"year":"2024","title":"Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space","department":[{"_id":"952"},{"_id":"321"}],"type":"journal_article","date_created":"2025-12-03T12:37:08Z","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n          <jats:p>In this study, we develop a novel multi-fidelity deep learning approach that transforms low-fidelity solution maps into high-fidelity ones by incorporating parametric space information into an autoencoder architecture. This method’s integration of parametric space information significantly reduces the amount of training data needed to effectively predict high-fidelity solutions from low-fidelity ones. In this study, we examine a two-dimensional steady-state heat transfer analysis within a heterogeneous materials microstructure. The heat conductivity coefficients for two different materials are condensed from a 101 <jats:inline-formula>\r\n              <jats:alternatives>\r\n                <jats:tex-math>$$\\times $$</jats:tex-math>\r\n                <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mo>×</mml:mo>\r\n                </mml:math>\r\n              </jats:alternatives>\r\n            </jats:inline-formula> 101 grid to smaller grids. We then solve the boundary value problem on the coarsest grid using a pre-trained physics-informed neural operator network known as Finite Operator Learning (FOL). The resulting low-fidelity solution is subsequently upscaled back to a 101 <jats:inline-formula>\r\n              <jats:alternatives>\r\n                <jats:tex-math>$$\\times $$</jats:tex-math>\r\n                <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mo>×</mml:mo>\r\n                </mml:math>\r\n              </jats:alternatives>\r\n            </jats:inline-formula> 101 grid using a newly designed enhanced autoencoder. The novelty of the developed enhanced autoencoder lies in the concatenation of heat conductivity maps of different resolutions to the decoder segment in distinct steps. Hence the developed algorithm is named microstructure-embedded autoencoder (MEA). We compare the MEA outcomes with those from finite element methods, the standard U-Net, and an interpolation approach as an upscaling technique. Our analysis shows that MEA outperforms these methods in terms of computational efficiency and error on representative test cases. As a result, the MEA serves as a potential supplement to neural operator networks, effectively upscaling low-fidelity solutions to high-fidelity while preserving critical details often lost in traditional upscaling methods, such as sharp interfaces features lost in the context of interpolation approaches.</jats:p>"}],"publication":"Computational Mechanics","issue":"4"},{"doi":"10.1007/s00419-024-02634-1","language":[{"iso":"eng"}],"intvolume":"        94","date_updated":"2025-12-03T12:50:41Z","publication_status":"published","author":[{"first_name":"Jan","last_name":"Gerlach","full_name":"Gerlach, Jan"},{"last_name":"Schulte","first_name":"Robin","full_name":"Schulte, Robin"},{"full_name":"Schowtjak, Alexander","first_name":"Alexander","last_name":"Schowtjak"},{"first_name":"Till","last_name":"Clausmeyer","full_name":"Clausmeyer, Till"},{"full_name":"Ostwald, Richard","first_name":"Richard","orcid":"0000-0003-2147-8444","last_name":"Ostwald","id":"106876"},{"first_name":"A. Erman","last_name":"Tekkaya","full_name":"Tekkaya, A. Erman"},{"full_name":"Menzel, Andreas","last_name":"Menzel","first_name":"Andreas"}],"publication_identifier":{"issn":["0939-1533","1432-0681"]},"year":"2024","title":"Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification","department":[{"_id":"952"},{"_id":"321"}],"type":"journal_article","date_created":"2025-12-03T12:46:31Z","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>The open-source parameter identification tool ADAPT (A diversely applicable parameter identification Tool) is integrated with a machine learning-based approach for start value prediction in order to calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative example case-hardened steel 16MnCrS5 is elaborated. An artificial neural network (ANN) is initially trained by using load–displacement curves derived from simulations of a boundary value problem—instead of using data generated for homogeneous states of deformation at material point or one-element level—with varying material parameter combinations. The ANN is then employed so as to predict sets of material parameters that already provide close solutions to the experiment. These predicted parameter sets serve as starting values for a subsequent multi-objective parameter identification by using ADAPT. ADAPT allows for the consideration of input data from multiple scales, including integral data such as load–displacement curves, full-field data such as displacement and strain fields, and high-resolution experimental void data at the micro-scale. The influence of each data set on prediction quality is analyzed. Using various types of input data introduces additional information, enhancing prediction accuracy. The validation is carried out with respect to experimental void measurements of forward rod extruded parts. The results demonstrate, by incorporating void measurements in the optimization process, that it is possible to improve the quantitative prediction of ductile damage in the sense of void area fractions by factor 28 in forward rod extrusion.</jats:p>"}],"publication":"Archive of Applied Mechanics","issue":"8","volume":94,"user_id":"85414","_id":"62770","publisher":"Springer Science and Business Media LLC","page":"2217-2242","status":"public","quality_controlled":"1","citation":{"mla":"Gerlach, Jan, et al. “Enhancing Damage Prediction in Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.” <i>Archive of Applied Mechanics</i>, vol. 94, no. 8, Springer Science and Business Media LLC, 2024, pp. 2217–42, doi:<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>.","ama":"Gerlach J, Schulte R, Schowtjak A, et al. Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification. <i>Archive of Applied Mechanics</i>. 2024;94(8):2217-2242. doi:<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>","bibtex":"@article{Gerlach_Schulte_Schowtjak_Clausmeyer_Ostwald_Tekkaya_Menzel_2024, title={Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification}, volume={94}, DOI={<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>}, number={8}, journal={Archive of Applied Mechanics}, publisher={Springer Science and Business Media LLC}, author={Gerlach, Jan and Schulte, Robin and Schowtjak, Alexander and Clausmeyer, Till and Ostwald, Richard and Tekkaya, A. Erman and Menzel, Andreas}, year={2024}, pages={2217–2242} }","apa":"Gerlach, J., Schulte, R., Schowtjak, A., Clausmeyer, T., Ostwald, R., Tekkaya, A. E., &#38; Menzel, A. (2024). Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification. <i>Archive of Applied Mechanics</i>, <i>94</i>(8), 2217–2242. <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">https://doi.org/10.1007/s00419-024-02634-1</a>","ieee":"J. Gerlach <i>et al.</i>, “Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification,” <i>Archive of Applied Mechanics</i>, vol. 94, no. 8, pp. 2217–2242, 2024, doi: <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>.","chicago":"Gerlach, Jan, Robin Schulte, Alexander Schowtjak, Till Clausmeyer, Richard Ostwald, A. Erman Tekkaya, and Andreas Menzel. “Enhancing Damage Prediction in Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.” <i>Archive of Applied Mechanics</i> 94, no. 8 (2024): 2217–42. <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">https://doi.org/10.1007/s00419-024-02634-1</a>.","short":"J. Gerlach, R. Schulte, A. Schowtjak, T. Clausmeyer, R. Ostwald, A.E. Tekkaya, A. Menzel, Archive of Applied Mechanics 94 (2024) 2217–2242."}},{"date_created":"2025-12-03T12:40:42Z","department":[{"_id":"952"},{"_id":"321"}],"type":"journal_article","publication":"Engineering Fracture Mechanics","language":[{"iso":"eng"}],"article_number":"110675","doi":"10.1016/j.engfracmech.2024.110675","author":[{"full_name":"Najafi Koopas, Rasoul","last_name":"Najafi Koopas","first_name":"Rasoul"},{"first_name":"Shahed","last_name":"Rezaei","full_name":"Rezaei, Shahed"},{"full_name":"Rauter, Natalie","last_name":"Rauter","first_name":"Natalie"},{"full_name":"Ostwald, Richard","orcid":"0000-0003-2147-8444","last_name":"Ostwald","first_name":"Richard","id":"106876"},{"first_name":"Rolf","last_name":"Lammering","full_name":"Lammering, Rolf"}],"publication_identifier":{"issn":["0013-7944"]},"title":"A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties","year":"2024","intvolume":"       314","publication_status":"published","date_updated":"2025-12-03T12:51:12Z","citation":{"ama":"Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties. <i>Engineering Fracture Mechanics</i>. 2024;314. doi:<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>","bibtex":"@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties}, volume={314}, DOI={<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>}, number={110675}, journal={Engineering Fracture Mechanics}, publisher={Elsevier BV}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024} }","mla":"Najafi Koopas, Rasoul, et al. “A Spatiotemporal Deep Learning Framework for Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures to Its Fracture Properties.” <i>Engineering Fracture Mechanics</i>, vol. 314, 110675, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>.","chicago":"Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald, and Rolf Lammering. “A Spatiotemporal Deep Learning Framework for Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures to Its Fracture Properties.” <i>Engineering Fracture Mechanics</i> 314 (2024). <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">https://doi.org/10.1016/j.engfracmech.2024.110675</a>.","short":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Engineering Fracture Mechanics 314 (2024).","apa":"Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., &#38; Lammering, R. (2024). A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties. <i>Engineering Fracture Mechanics</i>, <i>314</i>, Article 110675. <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">https://doi.org/10.1016/j.engfracmech.2024.110675</a>","ieee":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties,” <i>Engineering Fracture Mechanics</i>, vol. 314, Art. no. 110675, 2024, doi: <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>."},"quality_controlled":"1","_id":"62768","publisher":"Elsevier BV","volume":314,"user_id":"85414","status":"public"},{"external_id":{"unknown":["https://dx.doi.org/10.2139/ssrn.4966589"]},"date_created":"2024-10-01T09:34:06Z","type":"preprint","department":[{"_id":"876"},{"_id":"9"},{"_id":"393"},{"_id":"321"}],"oa":"1","publication":"United States Association for Energy Economics (USAEE) & International Association for Energy Economics (IAEE) Research Paper Series","citation":{"chicago":"Seeger, Karl, Matteo Genovese, Alexander Schlüter, Christina Kockel, Orlando Corigliano, Edith Benjamina Díaz Canales, Petronilla Fragiacomo, and Aaron Praktiknjo. “Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment.” <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>. Elsevier BV, 2024.","short":"K. Seeger, M. Genovese, A. Schlüter, C. Kockel, O. Corigliano, E.B. Díaz Canales, P. Fragiacomo, A. Praktiknjo, United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series (2024).","ieee":"K. Seeger <i>et al.</i>, “Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment,” <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>. Elsevier BV, 2024.","apa":"Seeger, K., Genovese, M., Schlüter, A., Kockel, C., Corigliano, O., Díaz Canales, E. B., Fragiacomo, P., &#38; Praktiknjo, A. (2024). Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment. In <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>. Elsevier BV.","bibtex":"@article{Seeger_Genovese_Schlüter_Kockel_Corigliano_Díaz Canales_Fragiacomo_Praktiknjo_2024, title={Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment}, journal={United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series}, publisher={Elsevier BV}, author={Seeger, Karl and Genovese, Matteo and Schlüter, Alexander and Kockel, Christina and Corigliano, Orlando and Díaz Canales, Edith Benjamina and Fragiacomo, Petronilla and Praktiknjo, Aaron}, year={2024} }","ama":"Seeger K, Genovese M, Schlüter A, et al. Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment. <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>. Published online 2024.","mla":"Seeger, Karl, et al. “Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment.” <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>, Elsevier BV, 2024."},"main_file_link":[{"open_access":"1","url":"https://dx.doi.org/10.2139/ssrn.4966589"}],"publisher":"Elsevier BV","_id":"56289","language":[{"iso":"eng"}],"user_id":"103302","status":"public","title":"Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment","year":"2024","author":[{"full_name":"Seeger, Karl","first_name":"Karl","last_name":"Seeger"},{"last_name":"Genovese","first_name":"Matteo","full_name":"Genovese, Matteo"},{"full_name":"Schlüter, Alexander","first_name":"Alexander","orcid":"0000-0002-2569-1624","last_name":"Schlüter","id":"103302"},{"last_name":"Kockel","first_name":"Christina","full_name":"Kockel, Christina"},{"first_name":"Orlando","last_name":"Corigliano","full_name":"Corigliano, Orlando"},{"orcid":"0009-0007-2748-0074","first_name":"Edith Benjamina","last_name":"Díaz Canales","full_name":"Díaz Canales, Edith Benjamina","id":"105704"},{"full_name":"Fragiacomo, Petronilla","last_name":"Fragiacomo","first_name":"Petronilla"},{"full_name":"Praktiknjo, Aaron","last_name":"Praktiknjo","first_name":"Aaron"}],"publication_status":"published","date_updated":"2026-01-06T08:00:25Z"},{"publication":"19th Conference on Sustainable Development of Energy, Water and Environment Systems","citation":{"chicago":"Díaz Canales, Edith Benjamina, Alfredo Avila , Sabine  Schlüter, Erick Lacayo, and Alexander Schlüter. “Implementing Strategic Environmental Assessment (SEA) in the Global South, a Challenge: Nicaragua as a Case Study.” In <i>19th Conference on Sustainable Development of Energy, Water and Environment Systems</i>. Digital Proceedings (Conference on Sustainable Development of Energy, Water and Environment Systems).  Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2024.","short":"E.B. Díaz Canales, A. Avila , S. Schlüter, E. Lacayo, A. Schlüter, in: 19th Conference on Sustainable Development of Energy, Water and Environment Systems,  Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2024.","ieee":"E. B. Díaz Canales, A. Avila , S. Schlüter, E. Lacayo, and A. Schlüter, “Implementing Strategic Environmental Assessment (SEA) in the Global South, a challenge: Nicaragua as a case study.,” presented at the 19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Rome, 2024.","apa":"Díaz Canales, E. B., Avila , A., Schlüter, S., Lacayo, E., &#38; Schlüter, A. (2024). Implementing Strategic Environmental Assessment (SEA) in the Global South, a challenge: Nicaragua as a case study. <i>19th Conference on Sustainable Development of Energy, Water and Environment Systems</i>. 19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Rome.","bibtex":"@inproceedings{Díaz Canales_Avila _Schlüter_Lacayo_Schlüter_2024, series={Digital Proceedings (Conference on Sustainable Development of Energy, Water and Environment Systems)}, title={Implementing Strategic Environmental Assessment (SEA) in the Global South, a challenge: Nicaragua as a case study.}, booktitle={19th Conference on Sustainable Development of Energy, Water and Environment Systems}, publisher={ Faculty of Mechanical Engineering and Naval Architecture, Zagreb}, author={Díaz Canales, Edith Benjamina and Avila , Alfredo and Schlüter, Sabine  and Lacayo, Erick and Schlüter, Alexander}, year={2024}, collection={Digital Proceedings (Conference on Sustainable Development of Energy, Water and Environment Systems)} }","ama":"Díaz Canales EB, Avila  A, Schlüter S, Lacayo E, Schlüter A. Implementing Strategic Environmental Assessment (SEA) in the Global South, a challenge: Nicaragua as a case study. In: <i>19th Conference on Sustainable Development of Energy, Water and Environment Systems</i>. Digital Proceedings (Conference on Sustainable Development of Energy, Water and Environment Systems).  Faculty of Mechanical Engineering and Naval Architecture, Zagreb; 2024.","mla":"Díaz Canales, Edith Benjamina, et al. “Implementing Strategic Environmental Assessment (SEA) in the Global South, a Challenge: Nicaragua as a Case Study.” <i>19th Conference on Sustainable Development of Energy, Water and Environment Systems</i>,  Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2024."},"type":"conference","department":[{"_id":"876"},{"_id":"321"},{"_id":"9"},{"_id":"393"}],"date_created":"2024-10-07T10:15:05Z","date_updated":"2026-01-06T08:14:34Z","status":"public","title":"Implementing Strategic Environmental Assessment (SEA) in the Global South, a challenge: Nicaragua as a case study.","year":"2024","publication_identifier":{"unknown":["2706-3690"]},"author":[{"orcid":"0009-0007-2748-0074","first_name":"Edith Benjamina","last_name":"Díaz Canales","full_name":"Díaz Canales, Edith Benjamina","id":"105704"},{"first_name":"Alfredo","last_name":"Avila ","full_name":"Avila , Alfredo"},{"full_name":"Schlüter, Sabine ","last_name":"Schlüter","first_name":"Sabine "},{"full_name":"Lacayo, Erick","last_name":"Lacayo","first_name":"Erick"},{"first_name":"Alexander","orcid":"0000-0002-2569-1624","last_name":"Schlüter","full_name":"Schlüter, Alexander","id":"103302"}],"conference":{"location":"Rome","start_date":"2024-09-08","name":"19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES)","end_date":"2024-09-12"},"user_id":"103302","alternative_title":["SDEWES2024.1202"],"_id":"56357","publisher":" Faculty of Mechanical Engineering and Naval Architecture, Zagreb","language":[{"iso":"eng"}],"series_title":"Digital Proceedings (Conference on Sustainable Development of Energy, Water and Environment Systems)"},{"language":[{"iso":"eng"}],"_id":"57540","publisher":"Springer Science and Business Media LLC","user_id":"48411","doi":"10.1007/s11740-024-01322-x","publication_identifier":{"issn":["0944-6524","1863-7353"]},"author":[{"last_name":"Mallow","first_name":"Sina","full_name":"Mallow, Sina"},{"last_name":"Broer","first_name":"Jette","full_name":"Broer, Jette"},{"full_name":"Milkereit, Benjamin","last_name":"Milkereit","first_name":"Benjamin"},{"id":"43822","full_name":"Grydin, Olexandr","last_name":"Grydin","first_name":"Olexandr"},{"id":"48411","first_name":"Kay-Peter","last_name":"Hoyer","full_name":"Hoyer, Kay-Peter"},{"id":"11199","full_name":"Garthe, Kai-Uwe","orcid":"0000-0003-0741-3812","last_name":"Garthe","first_name":"Kai-Uwe"},{"last_name":"Milaege","first_name":"Dennis","full_name":"Milaege, Dennis","id":"35461"},{"last_name":"Boyko","first_name":"Viktoriya","full_name":"Boyko, Viktoriya"},{"full_name":"Schaper, Mirko","last_name":"Schaper","first_name":"Mirko","id":"43720"},{"full_name":"Kessler, Olaf","last_name":"Kessler","first_name":"Olaf"}],"status":"public","title":"Process chain of a twin-roll cast aluminium-copper-lithium alloy","year":"2024","publication_status":"published","date_updated":"2024-12-02T13:46:39Z","date_created":"2024-12-02T13:43:15Z","department":[{"_id":"9"},{"_id":"158"},{"_id":"321"}],"type":"journal_article","citation":{"bibtex":"@article{Mallow_Broer_Milkereit_Grydin_Hoyer_Garthe_Milaege_Boyko_Schaper_Kessler_2024, title={Process chain of a twin-roll cast aluminium-copper-lithium alloy}, DOI={<a href=\"https://doi.org/10.1007/s11740-024-01322-x\">10.1007/s11740-024-01322-x</a>}, journal={Production Engineering}, publisher={Springer Science and Business Media LLC}, author={Mallow, Sina and Broer, Jette and Milkereit, Benjamin and Grydin, Olexandr and Hoyer, Kay-Peter and Garthe, Kai-Uwe and Milaege, Dennis and Boyko, Viktoriya and Schaper, Mirko and Kessler, Olaf}, year={2024} }","ama":"Mallow S, Broer J, Milkereit B, et al. Process chain of a twin-roll cast aluminium-copper-lithium alloy. <i>Production Engineering</i>. Published online 2024. doi:<a href=\"https://doi.org/10.1007/s11740-024-01322-x\">10.1007/s11740-024-01322-x</a>","mla":"Mallow, Sina, et al. “Process Chain of a Twin-Roll Cast Aluminium-Copper-Lithium Alloy.” <i>Production Engineering</i>, Springer Science and Business Media LLC, 2024, doi:<a href=\"https://doi.org/10.1007/s11740-024-01322-x\">10.1007/s11740-024-01322-x</a>.","short":"S. Mallow, J. Broer, B. Milkereit, O. Grydin, K.-P. Hoyer, K.-U. Garthe, D. Milaege, V. Boyko, M. Schaper, O. Kessler, Production Engineering (2024).","chicago":"Mallow, Sina, Jette Broer, Benjamin Milkereit, Olexandr Grydin, Kay-Peter Hoyer, Kai-Uwe Garthe, Dennis Milaege, Viktoriya Boyko, Mirko Schaper, and Olaf Kessler. “Process Chain of a Twin-Roll Cast Aluminium-Copper-Lithium Alloy.” <i>Production Engineering</i>, 2024. <a href=\"https://doi.org/10.1007/s11740-024-01322-x\">https://doi.org/10.1007/s11740-024-01322-x</a>.","ieee":"S. Mallow <i>et al.</i>, “Process chain of a twin-roll cast aluminium-copper-lithium alloy,” <i>Production Engineering</i>, 2024, doi: <a href=\"https://doi.org/10.1007/s11740-024-01322-x\">10.1007/s11740-024-01322-x</a>.","apa":"Mallow, S., Broer, J., Milkereit, B., Grydin, O., Hoyer, K.-P., Garthe, K.-U., Milaege, D., Boyko, V., Schaper, M., &#38; Kessler, O. (2024). Process chain of a twin-roll cast aluminium-copper-lithium alloy. <i>Production Engineering</i>. <a href=\"https://doi.org/10.1007/s11740-024-01322-x\">https://doi.org/10.1007/s11740-024-01322-x</a>"},"publication":"Production Engineering","quality_controlled":"1","abstract":[{"text":"<jats:title>Abstract</jats:title><jats:p>Rolling processes of conventional cast Al-Li alloys quickly reach their limits due to relatively poor material formability. This can be overcome by using twin-roll casting to produce thin sheets. Further thermomechanical treatment, including hot or cold rolling, and heat treatment can adjust the mechanical properties of twin-roll cast Al-Li sheets. The whole manufacturing chain requires detailed knowledge of the precipitation and dissolution behavior during heating, soaking and cooling, to purposefully select any process parameters. This study shows the process chain of a twin-roll cast Al–Cu–Li alloy achieving a hardness of around 180 HV1 by adapting the heat treatment parameters for homogenisation, hot rolling and age hardening. Both hardness and microstructure evolution are visualised along the process chain.</jats:p>","lang":"eng"}]},{"quality_controlled":"1","citation":{"chicago":"Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald, and Rolf Lammering. “Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties.” <i>Applied Sciences</i> 15, no. 1 (2024). <a href=\"https://doi.org/10.3390/app15010160\">https://doi.org/10.3390/app15010160</a>.","short":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Applied Sciences 15 (2024).","ieee":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties,” <i>Applied Sciences</i>, vol. 15, no. 1, Art. no. 160, 2024, doi: <a href=\"https://doi.org/10.3390/app15010160\">10.3390/app15010160</a>.","apa":"Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., &#38; Lammering, R. (2024). Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties. <i>Applied Sciences</i>, <i>15</i>(1), Article 160. <a href=\"https://doi.org/10.3390/app15010160\">https://doi.org/10.3390/app15010160</a>","bibtex":"@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties}, volume={15}, DOI={<a href=\"https://doi.org/10.3390/app15010160\">10.3390/app15010160</a>}, number={1160}, journal={Applied Sciences}, publisher={MDPI AG}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024} }","ama":"Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties. <i>Applied Sciences</i>. 2024;15(1). doi:<a href=\"https://doi.org/10.3390/app15010160\">10.3390/app15010160</a>","mla":"Najafi Koopas, Rasoul, et al. “Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties.” <i>Applied Sciences</i>, vol. 15, no. 1, 160, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/app15010160\">10.3390/app15010160</a>."},"user_id":"85414","volume":15,"publisher":"MDPI AG","_id":"58309","status":"public","type":"journal_article","department":[{"_id":"9"},{"_id":"952"},{"_id":"321"}],"date_created":"2025-01-21T13:48:05Z","abstract":[{"text":"<jats:p>This study evaluates four widely used fracture simulation methods, comparing their computational expenses and implementation complexities within the finite element (FE) framework when employed on heterogeneous solids. Fracture methods considered encompass the intrinsic cohesive zone model (CZM) using zero-thickness cohesive interface elements (CIEs), the standard phase-field fracture (SPFM) approach, the cohesive phase-field fracture (CPFM) approach, and an innovative hybrid model. The hybrid approach combines the CPFM fracture method with the CZM, specifically applying the CZM within the interface zone. The finite element model studied is characterized by three specific phases: inclusions, matrix, and the interface zone. This case study serves as a potential template for meso- or micro-level simulations involving a variety of composite materials. The thorough assessment of these modeling techniques indicates that the CPFM approach stands out as the most effective computational model, provided that the thickness of the interface zone is not significantly smaller than that of the other phases. In materials like concrete, which contain interfaces within their microstructure, the interface thickness is notably small when compared to other phases. This leads to the hybrid model standing as the most authentic finite element model, utilizing CIEs within the interface to simulate interface debonding. A significant finding from this investigation is that within the CPFM method, for a specific interface thickness, convergence with the hybrid model can be observed. This suggests that the CPFM fracture method could serve as a unified fracture approach for multiphase materials when a specific interfacial thickness is used. In addition, this research provides valuable insights that can advance efforts to fine-tune material microstructures. An investigation of the influence of interfacial material properties, voids, and the spatial arrangement of inclusions shows a pronounced effect of these parameters on the fracture toughness of the material.</jats:p>","lang":"eng"}],"publication":"Applied Sciences","issue":"1","doi":"10.3390/app15010160","article_number":"160","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2025-02-14T10:52:55Z","intvolume":"        15","title":"Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties","year":"2024","publication_identifier":{"issn":["2076-3417"]},"author":[{"full_name":"Najafi Koopas, Rasoul","last_name":"Najafi Koopas","first_name":"Rasoul"},{"last_name":"Rezaei","first_name":"Shahed","full_name":"Rezaei, Shahed"},{"first_name":"Natalie","last_name":"Rauter","full_name":"Rauter, Natalie"},{"full_name":"Ostwald, Richard","first_name":"Richard","last_name":"Ostwald","id":"106876"},{"last_name":"Lammering","first_name":"Rolf","full_name":"Lammering, Rolf"}]},{"date_created":"2025-03-13T09:28:13Z","place":"Paderborn","type":"dissertation","department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"citation":{"ama":"Martin S. <i>Holistische Methode zur elastischen Auslegung von geclinchten Bauteilen</i>. LibreCat University; 2024. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2120\">10.17619/UNIPB/1-2120</a>","bibtex":"@book{Martin_2024, place={Paderborn}, title={Holistische Methode zur elastischen Auslegung von geclinchten Bauteilen}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-2120\">10.17619/UNIPB/1-2120</a>}, publisher={LibreCat University}, author={Martin, Sven}, year={2024} }","mla":"Martin, Sven. <i>Holistische Methode zur elastischen Auslegung von geclinchten Bauteilen</i>. LibreCat University, 2024, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2120\">10.17619/UNIPB/1-2120</a>.","chicago":"Martin, Sven. <i>Holistische Methode zur elastischen Auslegung von geclinchten Bauteilen</i>. Paderborn: LibreCat University, 2024. <a href=\"https://doi.org/10.17619/UNIPB/1-2120\">https://doi.org/10.17619/UNIPB/1-2120</a>.","short":"S. Martin, Holistische Methode zur elastischen Auslegung von geclinchten Bauteilen, LibreCat University, Paderborn, 2024.","apa":"Martin, S. (2024). <i>Holistische Methode zur elastischen Auslegung von geclinchten Bauteilen</i>. LibreCat University. <a href=\"https://doi.org/10.17619/UNIPB/1-2120\">https://doi.org/10.17619/UNIPB/1-2120</a>","ieee":"S. Martin, <i>Holistische Methode zur elastischen Auslegung von geclinchten Bauteilen</i>. Paderborn: LibreCat University, 2024."},"supervisor":[{"id":"553","last_name":"Tröster","first_name":"Thomas","full_name":"Tröster, Thomas"},{"first_name":"Alexander","last_name":"Brosius","full_name":"Brosius, Alexander"}],"extern":"1","abstract":[{"text":"Die Auslegung von gefügten Bauteilen ermöglicht die Produktion von Strukturbauteilen, welche teils aus sehr vielen Einzelteilen bestehen und durch eine hohe Anzahl von Fügepunkten verbunden sind. Die Eigenschaften der Einzelteile und die Prozessgrößen in der Fertigung unterliegen Schwankungen, die bei der Auslegung berücksichtigt werden müssen. Um diese Bauteile stets nach der Spezifikation zu liefern, werden die Prozesse gewöhnlich über die gesamte Prozesskette überwacht und das Bauteil überdimensioniert. Treten unvorhersehbare Störungen in der Prozesskette auf, kann das Bauteil nicht mehr weiter produziert werden. Entweder muss die Störung im Prozess behoben werden, was nicht immer möglich ist und die schon teils produzierte Charge muss vernichtet werden, oder der Teil der Prozesskette nach der Störung muss angepasst werden. Dies kann z.B. durch eine Änderungskonstruktion, wie der Anpassung der Fügepunktpositionen und der -anzahl, geschehen. In dieser Dissertation wurde eine Auslegungsmethode zur strukturellen elastischen Auslegung punktgefügter Bauteile entwickelt, mit der eine Anpassungskonstruktion, z.B. auf solche Störungen, möglich ist. Diese Methode basiert auf der Ausnutzung des Einflusses von geometrischen Bauteilgrößen, wie z.B. der Bauteildicke und der Fügepunktpositionierung, von veränderten Fügepunkteigenschaften sowie dem Verständnis zwischen Prozessgrößen und den erzeugten Fügepunkteigenschaften.","lang":"eng"},{"text":"The design of joined components enables the production of structural components, which consist of many individual parts and are combined by a large number of joining elements. Since the properties of the individual parts and the process parameters in manufacturing can scatter, the deviations must be considered in the design. To always deliver these components according to specification, the processes are usually monitored over the entire process chain and the component is over dimensioned. If unforeseeable disruptions occur in the process chain, the component can no longer be produced. Either the malfunction in the process must be rectified, which is not always possible, and the batch that has already been partially produced must be destroyed, or the part of the process chain after the malfunction needs to be adjusted. This can be done, for example, by changing the design, such as adjusting the joints positions and number. In this PhD thesis, a design method for structural elastic designing of point-joined components was developed. With that method a revised design can be defined, e.g. in order to meet unforeseeable disruptions in the process chain. This method is based on the utilization of the influence of geometric component parameters, such as component thickness and joint positioning, on changed joint properties as well as on the understanding between process parameters and the manufactured joint properties.","lang":"eng"}],"page":"153","language":[{"iso":"ger"}],"_id":"58981","publisher":"LibreCat University","user_id":"71335","doi":"10.17619/UNIPB/1-2120","status":"public","year":"2024","title":"Holistische Methode zur elastischen Auslegung von geclinchten Bauteilen","author":[{"id":"38177","last_name":"Martin","first_name":"Sven","full_name":"Martin, Sven"}],"publication_status":"published","date_updated":"2025-03-13T09:36:38Z"},{"date_updated":"2025-03-13T09:24:24Z","status":"public","year":"2024","title":"Prospective Life Cycle Assessment of Lightweight Structures in Vehicles for On-Demand Mobility Systems","author":[{"full_name":"Ostermann, Moritz","first_name":"Moritz","last_name":"Ostermann","orcid":"https://orcid.org/0000-0003-1146-0443","id":"44763"},{"id":"338","first_name":"Thorsten","orcid":"0009-0001-6433-7839","last_name":"Marten","full_name":"Marten, Thorsten"},{"id":"553","full_name":"Tröster, Thomas","first_name":"Thomas","last_name":"Tröster"}],"conference":{"location":"Sendai, Japan","name":"16th Biennial International Conference on EcoBalance","start_date":"2024-11-03","end_date":"2024-11-07"},"user_id":"44763","_id":"57202","language":[{"iso":"eng"}],"quality_controlled":"1","publication":"16th Biennial International Conference on EcoBalance","citation":{"short":"M. Ostermann, T. Marten, T. Tröster, in: 16th Biennial International Conference on EcoBalance, Sendai, Japan, 2024.","chicago":"Ostermann, Moritz, Thorsten Marten, and Thomas Tröster. “Prospective Life Cycle Assessment of Lightweight Structures in Vehicles for On-Demand Mobility Systems.” In <i>16th Biennial International Conference on EcoBalance</i>. Sendai, Japan, 2024.","apa":"Ostermann, M., Marten, T., &#38; Tröster, T. (2024). Prospective Life Cycle Assessment of Lightweight Structures in Vehicles for On-Demand Mobility Systems. <i>16th Biennial International Conference on EcoBalance</i>. 16th Biennial International Conference on EcoBalance, Sendai, Japan.","ieee":"M. Ostermann, T. Marten, and T. Tröster, “Prospective Life Cycle Assessment of Lightweight Structures in Vehicles for On-Demand Mobility Systems,” presented at the 16th Biennial International Conference on EcoBalance, Sendai, Japan, 2024.","ama":"Ostermann M, Marten T, Tröster T. Prospective Life Cycle Assessment of Lightweight Structures in Vehicles for On-Demand Mobility Systems. In: <i>16th Biennial International Conference on EcoBalance</i>. ; 2024.","bibtex":"@inproceedings{Ostermann_Marten_Tröster_2024, place={Sendai, Japan}, title={Prospective Life Cycle Assessment of Lightweight Structures in Vehicles for On-Demand Mobility Systems}, booktitle={16th Biennial International Conference on EcoBalance}, author={Ostermann, Moritz and Marten, Thorsten and Tröster, Thomas}, year={2024} }","mla":"Ostermann, Moritz, et al. “Prospective Life Cycle Assessment of Lightweight Structures in Vehicles for On-Demand Mobility Systems.” <i>16th Biennial International Conference on EcoBalance</i>, 2024."},"type":"conference_abstract","keyword":["Life Cycle Sustainability Assessment","Prospective Life Cycle Assessment","Life Cycle Engineering","On-Demand Mobility","Mobility Services"],"department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"date_created":"2024-11-18T13:25:52Z","place":"Sendai, Japan"},{"type":"conference_abstract","department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"place":"Bad Nauheim","date_created":"2024-12-02T10:17:58Z","publication":"Sustainability in Product and Production Engineering","citation":{"apa":"Ostermann, M., Marten, T., &#38; Tröster, T. (2024). Scenario-based life cycle assessment of vehicle lightweight structures. <i>Sustainability in Product and Production Engineering</i>. Sustainability in Product and Production Engineering, Bad Nauheim.","ieee":"M. Ostermann, T. Marten, and T. Tröster, “Scenario-based life cycle assessment of vehicle lightweight structures,” presented at the Sustainability in Product and Production Engineering, Bad Nauheim, 2024.","short":"M. Ostermann, T. Marten, T. Tröster, in: Sustainability in Product and Production Engineering, Automotive Circle, Bad Nauheim, 2024.","chicago":"Ostermann, Moritz, Thorsten Marten, and Thomas Tröster. “Scenario-Based Life Cycle Assessment of Vehicle Lightweight Structures.” In <i>Sustainability in Product and Production Engineering</i>. Bad Nauheim: Automotive Circle, 2024.","mla":"Ostermann, Moritz, et al. “Scenario-Based Life Cycle Assessment of Vehicle Lightweight Structures.” <i>Sustainability in Product and Production Engineering</i>, Automotive Circle, 2024.","ama":"Ostermann M, Marten T, Tröster T. Scenario-based life cycle assessment of vehicle lightweight structures. In: <i>Sustainability in Product and Production Engineering</i>. Automotive Circle; 2024.","bibtex":"@inproceedings{Ostermann_Marten_Tröster_2024, place={Bad Nauheim}, title={Scenario-based life cycle assessment of vehicle lightweight structures}, booktitle={Sustainability in Product and Production Engineering}, publisher={Automotive Circle}, author={Ostermann, Moritz and Marten, Thorsten and Tröster, Thomas}, year={2024} }"},"user_id":"44763","language":[{"iso":"eng"}],"_id":"57537","publisher":"Automotive Circle","date_updated":"2025-03-13T09:25:33Z","status":"public","title":"Scenario-based life cycle assessment of vehicle lightweight structures","year":"2024","conference":{"name":"Sustainability in Product and Production Engineering","start_date":"2024-11-26","location":"Bad Nauheim","end_date":"2024-11-27"},"author":[{"full_name":"Ostermann, Moritz","orcid":"https://orcid.org/0000-0003-1146-0443","last_name":"Ostermann","first_name":"Moritz","id":"44763"},{"id":"338","last_name":"Marten","first_name":"Thorsten","orcid":"0009-0001-6433-7839","full_name":"Marten, Thorsten"},{"id":"553","full_name":"Tröster, Thomas","first_name":"Thomas","last_name":"Tröster"}]},{"date_updated":"2025-03-25T14:05:08Z","publication_status":"published","intvolume":"       277","year":"2024","status":"public","title":"Stokes and anti-Stokes emission characteristics of Er3+/Yb3+ co-doped zinc tellurite glasses under 377 and 1550 nm excitations for solar energy conversion application","publication_identifier":{"issn":["0022-2313"]},"author":[{"full_name":"Suresh, Keenatampalle","last_name":"Suresh","first_name":"Keenatampalle"},{"full_name":"Kesavulu, C.R.","last_name":"Kesavulu","first_name":"C.R."},{"id":"49504","orcid":"https://orcid.org/ 0000-0002-3446-2444","last_name":"Chalicheemalapalli Jayasankar","first_name":"Deviprasad","full_name":"Chalicheemalapalli Jayasankar, Deviprasad"},{"full_name":"Pecharapa, Wisanu","last_name":"Pecharapa","first_name":"Wisanu"},{"last_name":"Kagola","first_name":"Upendra Kumar","full_name":"Kagola, Upendra Kumar"},{"id":"553","full_name":"Tröster, Thomas","last_name":"Tröster","first_name":"Thomas"},{"first_name":"C.K.","last_name":"Jayasankar","full_name":"Jayasankar, C.K."}],"doi":"10.1016/j.jlumin.2024.120948","user_id":"49504","volume":277,"article_number":"120948","language":[{"iso":"eng"}],"_id":"58381","publisher":"Elsevier BV","publication":"Journal of Luminescence","citation":{"chicago":"Suresh, Keenatampalle, C.R. Kesavulu, Deviprasad Chalicheemalapalli Jayasankar, Wisanu Pecharapa, Upendra Kumar Kagola, Thomas Tröster, and C.K. Jayasankar. “Stokes and Anti-Stokes Emission Characteristics of Er3+/Yb3+ Co-Doped Zinc Tellurite Glasses under 377 and 1550 Nm Excitations for Solar Energy Conversion Application.” <i>Journal of Luminescence</i> 277 (2024). <a href=\"https://doi.org/10.1016/j.jlumin.2024.120948\">https://doi.org/10.1016/j.jlumin.2024.120948</a>.","short":"K. Suresh, C.R. Kesavulu, D. Chalicheemalapalli Jayasankar, W. Pecharapa, U.K. Kagola, T. Tröster, C.K. Jayasankar, Journal of Luminescence 277 (2024).","apa":"Suresh, K., Kesavulu, C. R., Chalicheemalapalli Jayasankar, D., Pecharapa, W., Kagola, U. K., Tröster, T., &#38; Jayasankar, C. K. (2024). Stokes and anti-Stokes emission characteristics of Er3+/Yb3+ co-doped zinc tellurite glasses under 377 and 1550 nm excitations for solar energy conversion application. <i>Journal of Luminescence</i>, <i>277</i>, Article 120948. <a href=\"https://doi.org/10.1016/j.jlumin.2024.120948\">https://doi.org/10.1016/j.jlumin.2024.120948</a>","ieee":"K. Suresh <i>et al.</i>, “Stokes and anti-Stokes emission characteristics of Er3+/Yb3+ co-doped zinc tellurite glasses under 377 and 1550 nm excitations for solar energy conversion application,” <i>Journal of Luminescence</i>, vol. 277, Art. no. 120948, 2024, doi: <a href=\"https://doi.org/10.1016/j.jlumin.2024.120948\">10.1016/j.jlumin.2024.120948</a>.","ama":"Suresh K, Kesavulu CR, Chalicheemalapalli Jayasankar D, et al. 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