SimTech Awards

The Best Paper Award of the GS SimTech and the Industrial Consortium SimTech e. V. honors outstanding scientific achievements of our doctoral researchers.

The award winners

Christian Pfaendner

ART-SM: Boosting Fragment-Based Backmapping by Machine Learning

Christian Pfaendner, Viktoria Korn, Pritom Gogoi, Benjamin Unger, Kristyna Pluhackova (2025). Journal of Chemical Theory and Computation, Volume 21, Issue 8, April 4, 2025. https://doi.org/10.1021/acs.jctc.5c00189

Sebastian Höpfl

Bayesian modelling of time series data (BayModTS) – a FAIR workflow to process sparse and highly variable data

Sebastian Höpfl, Mohamed Albadry, Uta Dahmen, Karl-Heinz Herrmann, Eva Marie Kindler, Matthias König, Jürgen Rainer Reichenbach, Hans-Michael Tautenhahn, Weiwei Wie, Wan-Ting Zhao, Nicole Radde (2024). Bayesian modelling of time series data (BayModTS) – a FAIR workflow to process sparse and highly variable data. Bioinformatics, Volume 40, Issue 5, May 2024, btae312, https://doi.org/10.1093/bioinformatics/btae312

Raphael Leiteritz and Timothy Praditia

PDF: An extensive benchmark for scientific machine learning

Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D., & Niepert, M. (2022). PDEBench: An extensive benchmark for scientific machine learning. Advances in Neural Information Processing Systems, 35, 1596-1611. (Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)).

 

Code: An extensive benchmark for scientific machine learning

Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/darus-2986, DaRUS, V3

Viviane Klingel, IST

Model-based robustness and bistability analysis for methylation-based, epigenetic memory systems

V. Klingel, T. Ullrich, S. Weirich, A. Jeltsch, N. Radde

In: he FEBS Journal, 288(19), 5692–5707. 2021

 

Samuel Tovey, ICP

DFT Accurate Interatomic Potential for Molten NaCl from Machine Learning

S. Tovey, A. N. Krishnamoorthy, G. Sivaraman, J. Guo, C. Benmore, A. Heuer, C. Holm

In: The Journal of Physical Chemistry C 124(47)(25760-25768), 2020.

Beatrix Becker, IWS

An Adaptive Multiphysics Model Coupling Vertical Equilibrium and Full Multidimensions for Multiphase Flow on Porous Media

B. Becker, B. Guo, K. Bandilla, M. Celia, B. Flemisch, R. Helmig

In: 2018 Water Resources Research

Christoph Dibak, IPVS
Andreas Schmidt, IANS

Server-assisted interactive mobile simulations for pervasive applications

C. Dibak, A. Schmidt, F. Dürr, B. Haasdonk and K. Rothermel

In: 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)

Christian Kleinbach, ITM

Incorporating Muscle Activation Dynamics into the Global Human Body Model.

Feller, L.; Kleinbach, C.; Fehr, J.; Schmitt, S.

In: Proceedings of IRCOBI Conference, September 14 – 18. 2016.

Tille Karoline Rupp, INSPO

A forward dynamics simulation of human lumbar spine flexion predicting the load sharing of intervertebral discs, ligaments, and muscles

T.K. Rupp, W. Ehlers, N. Karajan, M. Günther, S. Schmitt; Institut für Mechanik (Bauwesen) Institut für Sport- und Bewegungswissenschaft

In: Biomechanics and Modeling in Mechanobiology (2015) - DOI:10.1007/s10237-015-0656-2

Claus Braun, ITI
Alexander Schöll, ITI
Daniel Wirtz, MIB

Adaptive Parallel Simulation of a Two-Timescale Model for Apoptotic Receptor-Clustering on GPUs

A. Schöll, C. Braun, M. Daub, G. Schneider, H.-J. Wunderlich; Institut für Technische Informatik Institut für Analysis, Dynamik und Modellierung

In: 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2014) - DOI:10.1109/BIBM.2014.6999195

2013

2012

2011

2010:

 

Graduate Academy

 
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