Lass, Michael, Tobias Kenter, Christian Plessl, and Martin Brehm. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.”https://doi.org/10.3390/e26040322__Entropy 26, no. 4 (2024).https://doi.org/10.3390/e26040322 .

Schapeler, Timon, Robert Schade, Michael Lass, Christian Plessl, and Tim Bartley. “Scalable Quantum Detector Tomography by High-Performance Computing.” ArXiv:2404.02844, 2024.

Bauer, Carsten, Tobias Kenter, Michael Lass, Lukas Mazur, Marius Meyer, Holger Nitsche, Heinrich Riebler, et al. “Noctua 2 Supercomputer.”https://doi.org/10.17815/jlsrf-8-187 __Journal of Large-Scale Research Facilities 9 (2024).https://doi.org/10.17815/jlsrf-8-187  .

Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas Kühne, and Christian Plessl. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.”https://doi.org/10.1177/10943420231177631__The International Journal of High Performance Computing Applications, 2023.https://doi.org/10.1177/10943420231177631 .

Van Hirtum, Lennart, Patrick De Causmaecker, Jens Goemaere, Tobias Kenter, Heinrich Riebler, Michael Lass, and Christian Plessl. “A Computation of D(9) Using FPGA Supercomputing.” ArXiv:2304.03039, 2023.

Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022.https://doi.org/10.17619/UNIPB/1-1281 .

Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.”https://doi.org/10.1016/j.parco.2022.102920__Parallel Computing 111 (2022).https://doi.org/10.1016/j.parco.2022.102920 .

Kühne, Thomas, Marcella Iannuzzi, Mauro Del Ben, Vladimir V. Rybkin, Patrick Seewald, Frederick Stein, Teodoro Laino, et al. “CK: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.”https://doi.org/10.1063/5.0007045__The Journal of Chemical Physics 152, no. 19 (2020).https://doi.org/10.1063/5.0007045 .

Lass, Michael, Robert Schade, Thomas Kühne, and Christian Plessl. “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK.”https://doi.org/10.1109/SC41405.2020.00084__In Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 1127–40. Los Alamitos, CA, USA: IEEE Computer Society, 2020.https://doi.org/10.1109/SC41405.2020.00084 .

Rengaraj, Varadarajan, Michael Lass, Christian Plessl, and Thomas Kühne. “Accurate Sampling with Noisy Forces from Approximate Computing.”https://doi.org/10.3390/computation8020039__Computation 8, no. 2 (2020).https://doi.org/10.3390/computation8020039 .

Richters, Dorothee, Michael Lass, Andrea Walther, Christian Plessl, and Thomas Kühne. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.”https://doi.org/10.4208/cicp.OA-2018-0053__Communications in Computational Physics 25, no. 2 (2019): 564–85.https://doi.org/10.4208/cicp.OA-2018-0053 .

Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.”https://doi.org/10.1109/LES.2017.2760923__Embedded Systems Letters 10, no. 2 (2018): 33–36.https://doi.org/10.1109/LES.2017.2760923 .

Lass, Michael, Stephan Mohr, Hendrik Wiebeler, Thomas Kühne, and Christian Plessl. “A Massively Parallel Algorithm for the Approximate Calculation of Inverse P-Th Roots of Large Sparse Matrices.”https://doi.org/10.1145/3218176.3218231__In Proc. Platform for Advanced Scientific Computing (PASC) Conference. New York, NY, USA: ACM, 2018.https://doi.org/10.1145/3218176.3218231 .

Riebler, Heinrich, Michael Lass, Robert Mittendorf, Thomas Löcke, and Christian Plessl. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.”https://doi.org/10.1145/3053687__ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10, no. 3 (2017): 24:1-24:23.https://doi.org/10.1145/3053687 .

Lass, Michael, Dominik Leibenger, and Christoph Sorge. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.”https://doi.org/10.1109/lcn.2016.11__In Proc. 41st Conference on Local Computer Networks (LCN). IEEE, 2016.https://doi.org/10.1109/lcn.2016.11 .

Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing in Scientific Codes.” In Workshop on Approximate Computing (AC), 2016.

Lass, Michael. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University, 2015.

Lass, Michael. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University, 2013.