Mahnken R. New low order Runge–Kutta schemes for asymptotically exact global error estimation of embedded methods without order reduction. Computer Methods in Applied Mechanics and Engineering. 2022;401. doi:10.1016/j.cma.2022.115553
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Hegarty PA, Beccard H, Eng LM, Rüsing M. Turn all the lights off: Bright- and dark-field second-harmonic microscopy to select contrast mechanisms for ferroelectric domain walls. Journal of Applied Physics. 2022;131(24). doi:10.1063/5.0094988
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Amber ZH, Spychala KJ, Eng LM, Rüsing M. Nonlinear optical interactions in focused beams and nanosized structures. Journal of Applied Physics. 2022;132(21). doi:10.1063/5.0125926
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Hegarty PA, Eng LM, Rüsing M. Tuning the cerenkov second harmonic contrast from ferroelectric domain walls via anomalous dispersion. Journal of Applied Physics. 2022;132(21):214102. doi:10.1063/5.0115673
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Schleier D, Gerlach M, Schaffner D, Mukhopadhyay DP, Hemberger P, Fischer I. Threshold photoelectron spectroscopy of trimethylborane and its pyrolysis products. Physical Chemistry Chemical Physics. 2022;25(6):4511-4518. doi:10.1039/d2cp04513c
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Gaiser N, Zhang H, Bierkandt T, et al. Investigation of the combustion chemistry in laminar, low-pressure oxymethylene ether flames (OM–4). Combustion and Flame. 2022;243. doi:10.1016/j.combustflame.2022.112060
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Zinsmeister J, Gaiser N, Melder J, et al. On the diversity of fossil and alternative gasoline combustion chemistry: A comparative flow reactor study. Combustion and Flame. 2022;243. doi:10.1016/j.combustflame.2021.111961
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Do HT, Franke P, Volpert S, Klinksiek M, Thome M, Held C. Measurement and modelling solubility of amino acids and peptides in aqueous 2-propanol solutions. Physical Chemistry Chemical Physics. 2021;23(18):10852-10863. doi:10.1039/d1cp00005e
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Ghasemi A, Kühne T. Artificial neural networks for the kinetic energy functional of non-interacting fermions. The Journal of Chemical Physics. 2021;154(7). doi:10.1063/5.0037319
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Mirhosseini H, Tahmasbi H, Kuchana SR, Ghasemi A, Kühne T. An automated approach for developing neural network interatomic potentials with FLAME. Computational Materials Science. 2021;197. doi:10.1016/j.commatsci.2021.110567
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