Publications 2020

  1. A

    1. Adam, S. ; Anteneh, H. ; Hornisch, M. ; Wagner, V. ; Lu, J. ; Radde, N. ; Bashtrykov, P. ; Song, J. ; u. a.: DNA sequence-dependent activity and base flipping mechanisms of DNMT1 regulate genome-wide DNA methylation. In: Nat. Communications, Nat. Communications. Bd. 11, Springer Science and Business Media LLC (2020), Nr. 1, S. 1–15
    2. Alonso-Orán, Diego ; Rohde, Christian ; Tang, Hao: A local-in-time theory for singular SDEs with applications to fluid models with transport noise. In: arXiv preprint arXiv:2010.09972, arXiv preprint arXiv:2010.09972. (2020), S. 1–32
    3. Alonso-Orán, Diego ; Rohde, Christian ; Tang, Hao: A local-in-time theory for singular SDEs with applications to fluid models with transport noise. In: arXiv preprint arXiv:2010.09972, arXiv preprint arXiv:2010.09972. (2020), S. 1–32
    4. Altmann, Robert ; Mehrmann, Volker ; Unger, Benjamin: Port-Hamiltonian formulations of poroelastic network models. In: ArXiv e-print 2012.01949, ArXiv e-print 2012.01949. (2020)
  2. B

    1. Bahlmann, L. M. ; Smits, K. M. ; Heck, K. ; Coltman, E. ; Helmig, R. ; Neuweiler, I.: Gas Component Transport Across the Soil-Atmosphere Interface for Gases of Different Density: Experiments and Modeling. In: Water Resources Research, Water Resources Research. Bd. 56 (2020), Nr. 9, S. e2020WR027600. — e2020WR027600 10.1029/2020WR027600
    2. Barreau, M. ; Scherer, C. W. ; Gouaisbaut, F. ; Seuret, A.: Integral Quadratic Constraints on Linear Infinite-dimensional Systems for Robust Stability Analysis. In: IFAC-PapersOnline, IFAC-PapersOnline. Bd. 53, 2020, S. 7752–7757
    3. Bauer, TL ; Buchholz, PCF ; Pleiss, J: The modular structure of α/β-hydrolases. In: FEBS J, FEBS J. Bd. 287 (2020), S. 1035–1053
    4. Beck, Andrea D. ; Zeifang, Jonas ; Schwarz, Anna ; Flad, David G.: A neural network based shock detection and localization approach for discontinuous Galerkin methods. In: Journal of Computational Physics, Journal of Computational Physics. Bd. 423, Elsevier (2020), S. 109824
    5. Beckers, Felix ; Heredia, Andrés ; Noack, Markus ; Nowak, Wolfgang ; Wieprecht, Silke ; Oladyshkin, Sergey: Bayesian Calibration and Validation of a Large-scale and Time-demanding Sediment Transport Model. In: Water Resources Research, Water Resources Research. Bd. 56 (2020), Nr. 7, S. e2019WR026966
    6. Berberich, Julian ; Scherer, Carsten W. ; Allgöwer, Frank: Combining Prior Knowledge and Data for Robust Controller Design (2020)
    7. Berberich, Julian ; Koch, Anne ; Scherer, Carsten W. ; Allgower, Frank: Robust data-driven state-feedback design. In: 2020 American Control Conference (ACC), 2020 American Control Conference (ACC) : IEEE, 2020, S. 1532–1538
    8. Breitsprecher, Konrad ; Janssen, Mathijs ; Srimuk, Pattarachai ; Mehdi, B. Layla ; Presser, Volker ; Holm, Christian ; Kondrat, Svyatoslav: How to speed up ion transport in nanopores. In: Nature Communications, Nature Communications. Bd. 11, Springer Science and Business Media LLC (2020), Nr. 1
    9. Brencher, Lukas ; Barth, Andrea: Hyperbolic Conservation Laws with Stochastic Discontinuous Flux Functions. In: International Conference on Finite Volumes for Complex Applications, International Conference on Finite Volumes for Complex Applications : Springer, 2020, S. 265--273
    10. Buchfink, P. ; Haasdonk, B. ; Rave, S.: PSD-Greedy Basis Generation for Structure-Preserving Model Order Reduction of Hamiltonian Systems. In: Frolkovič, P. ; Mikula, K. ; Ševčovič, D. (Hrsg.) ; Frolkovič, P. ; Mikula, K. ; Ševčovič, D. (Hrsg.): Proceedings of the Conference Algoritmy 2020, Proceedings of the Conference Algoritmy 2020 : Vydavateľstvo SPEKTRUM, 2020 — ISBN 978-80-227-5032-5, S. 151--160
  3. C

    1. Chu, Xu ; Wu, Yongxiang ; Rist, Ulrich ; Weigand, Bernhard: Instability and transition in an elementary porous medium. In: Phys. Rev. Fluids, Phys. Rev. Fluids. Bd. 5, American Physical Society (2020), Nr. 4, S. 044304
    2. Chu, Xu (初旭) ; Liu, Yanchao (刘雁超) ; Wang, Wenkang (王文康) ; Yang, Guang (杨光) ; Weigand, Bernhard ; Nemati, Hassan: Turbulence, pseudo-turbulence, and local flow topology in dispersed bubbly flow. In: Physics of Fluids, Physics of Fluids. Bd. 32 (2020), Nr. 8, S. 083310
    3. Coltman, Edward ; Lipp, Melanie ; Vescovini, Andrea ; Helmig, Rainer: Obstacles, Interfacial Forms, and Turbulence: A Numerical Analysis of Soil--Water Evaporation Across Different Interfaces. In: Transport in Porous Media, Transport in Porous Media. Bd. 134, Springer (2020), Nr. 2, S. 275--301
    4. Cooper, A.M. ; Kästner, J. ; Urban, A. ; Artrith, N.: Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide. In: Npj Comput. Mater., Npj Comput. Mater. Bd. 6 (2020), S. 54
  4. D

    1. de Souza, Fábio A. L. ; Sivaraman, Ganesh ; Fyta, Maria ; Scheicher, Ralph H. ; Scopel, Wanderlã L. ; Amorim, Rodrigo G.: Electrically sensing Hachimoji DNA nucleotides through a hybrid graphene/h-BN nanopore. In: Nanoscale, Nanoscale. Bd. 12, The Royal Society of Chemistry (2020), Nr. 35, S. 18289–18295
    2. Denzel, Alexander ; Kästner, Johannes: Hessian Matrix Update Scheme for Transition State Search Based on Gaussian Process Regression. In: J. Chem. Theory Comput., J. Chem. Theory Comput. Bd. 16 (2020), S. 5083–5089
    3. Diestelkämper, Ralf ; Herschel, Melanie: Tracing nested data with structural provenance for big data analytics. In: Proceedings of the International Conference on Extending Database Technology (EDBT), Proceedings of the International Conference on Extending Database Technology (EDBT), 2020, S. 253–264
    4. Diestelkämper, Ralf ; Herschel, Melanie: Distributed Tree-Pattern Matching in Big Data Analytics Systems. In: In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS), In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS) : Springer, 2020, S. 171–186
  5. E

    1. Eisenkolb, I ; Jensch, A ; Eisenkolb, K ; Kramer, A ; Buchholz, Patrick ; Pleiss, Jürgen ; Spiess, A ; Radde, NE: Modeling of biocatalytic reactions: A workflow for model calibration, selection and validation using Bayesian statistics. In: AIChE J, AIChE J. Bd. 66 (2020), S. e16866
  6. F

    1. Fernandez, Mauricio ; Fritzen, Felix: On the generation of periodic discrete structures with identical two-point correlation. In: Proceedings of the Royal Society A, Proceedings of the Royal Society A. Bd. 476, The Royal Society Publishing (2020), Nr. 2242, S. 20200568
    2. Fernández, Mauricio ; Rezaei, Shahed ; Mianroodi, Jaber Rezaei ; Fritzen, Felix ; Reese, Stefanie: Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior. In: Advanced Modeling and Simulation in Engineering Sciences, Advanced Modeling and Simulation in Engineering Sciences. Bd. 7, Springer Science and Business Media LLC (2020), Nr. 1, S. 27
    3. Fernández, Mauricio ; Fritzen, Felix: On the generation of periodic discrete structures with identical two-point correlation. In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. Bd. 476 (2020), Nr. 2242, S. 20200568
    4. Fernández, Mauricio ; Fritzen, Felix: Construction of a Class of Sharp Löwner Majorants for a Set of Symmetric Matrices. In: Journal of Applied Mathematics, Journal of Applied Mathematics. Bd. 2020 (2020), S. 18
    5. Fernández, Mauricio ; Fritzen, Felix: Construction of a class of sharp Löwner majorants for a set of symmetric matrices. In: Journal of Applied Mathematics, Journal of Applied Mathematics. Bd. 2020, Hindawi (2020), S. 1–18
    6. Fischer, Matthias ; Bauer, Gernot ; Gross, Joachim: Transferable Anisotropic United-Atom Mie (TAMie) Force Field: Transport Properties from Equilibrium Molecular Dynamic Simulations. In: Industrial & Engineering Chemistry Research, Industrial & Engineering Chemistry Research. Bd. 59, ACS Publications (2020), Nr. 18, S. 8855--8869
    7. Flaig, Sascha: Prognose von Wasserständen in einem durch die Trinkwassergewinnung beeinflussten Moor-Grundwassersystem mithilfe eines künstlichen neuronalen Netzwerks : MSc Thesis, University of Stuttgart, 2020
    8. Fullstone, Gavin ; Guttà, Cristiano ; Beyer, Amatus ; Rehm, Markus: The FLAME-accelerated signalling tool (FaST) for facile parallelisation of flexible agent-based models of cell signalling. In: npj Systems Biology and Applications, npj Systems Biology and Applications. Bd. 6 (2020), Nr. 1, S. 10--
    9. Fullstone, Gavin ; Bauer, Tabea L. ; Guttà, Cristiano ; Salvucci, Manuela ; Prehn, Jochen H. M. ; Rehm, Markus: The apoptosome molecular timer synergises with XIAP to suppress apoptosis execution and contributes to prognosticating survival in colorectal cancer. In: Cell Death & Differentiation, Cell Death & Differentiation. (2020), Nr. 27, S. 2828–2842
  7. G

    1. Gebhardt, Julia ; Kiesel, Matthias ; Riniker, Sereina ; Hansen, Niels: Combining Molecular Dynamics and Machine Learning to Predict Self-Solvation Free Energies and Limiting Activity Coefficients. In: Journal of Chemical Information and Modeling, Journal of Chemical Information and Modeling. Bd. 60, American Chemical Society (ACS) (2020), Nr. 11, S. 5319--5330
    2. Guttà, Cristiano ; Rahman, Arman ; Aura, Claudia ; Dynoodt, Peter ; Charles, Emilie M. ; Hirschenhahn, Elodie ; Joseph, Jesuchristopher ; Wouters, Jasper ; u. a.: Low expression of pro-apoptotic proteins Bax, Bak and Smac indicates prolonged progression-free survival in chemotherapy-treated metastatic melanoma. In: Cell Death & Disease, Cell Death & Disease. Bd. 11, Springer Science and Business Media LLC (2020), Nr. 2
    3. Gygli, G ; Xu, XM ; Pleiss, Jürgen: Meta-analysis of viscosity of aqueous deep eutectic solvents and their components. In: Sci Rep, Sci Rep. Bd. 10 (2020), S. 21395–21395
    4. Gygli, G ; Pleiss, Jürgen: Simulation Foundry: automated and F.A.I.R. molecular modelling. In: J Chem Inf Model, J Chem Inf Model. Bd. 60 (2020), S. 1922–1927
    5. Gygli, Gudrun ; Pleiss, Juergen: Simulation foundry: Automated and FAIR molecular modeling. In: Journal of chemical information and modeling, Journal of chemical information and modeling. Bd. 60, ACS Publications (2020), Nr. 4, S. 1922--1927
  8. H

    1. Hansen, Niels ; Öehlknecht, Christoph ; de Ruiter, Anita ; Lier, Bettina ; van Gunsteren, Wilfred F. ; Oostenbrink, Chris ; Gebhardt, Julia: A Suite of Advanced Tutorials for the GROMOS Biomolecular Simulation Software Article v1.0. In: Living Journal of Computational Molecular Science, Living Journal of Computational Molecular Science. Bd. 2, University of Colorado at Boulder (2020), Nr. 1
    2. Hasan, Sharul ; Niasar, Vahid ; Karadimitriou, Nikolaos K ; Godinho, Jose RA ; Vo, Nghia T ; An, Senyou ; Rabbani, Arash ; Steeb, Holger: Direct characterization of solute transport in unsaturated porous media using fast X-ray synchrotron microtomography. In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences. Bd. 117, National Acad Sciences (2020), Nr. 38, S. 23443--23449
    3. Heck, K. ; Coltman, E. ; Schneider, J. ; Helmig, R.: Influence of Radiation on Evaporation Rates: A Numerical Analysis. In: Water Resources Research, Water Resources Research. Bd. 56, American Geophysical Union (AGU) (2020), Nr. 10
    4. Hertneck, M. ; Linsenmayer, S. ; Allgöwer, F.: Stability Analysis for Nonlinear Weakly Hard Real-Time Control Systems. In: Proc. 21st IFAC World Congress, Proc. 21st IFAC World Congress. Berlin, Germany, 2020, S. 2632–2637
    5. Hertneck, M. ; Allgöwer, F.: Exploiting Information for Decentralized Periodic Event-Triggered Control. In: Proc. 59th IEEE Conf. Decision and Control (CDC), Proc. 59th IEEE Conf. Decision and Control (CDC). Jeju, South Korea, 2020, S. 4999–5004
    6. Hertneck, M. ; Linsenmayer, S. ; Allgöwer, F.: Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction. In: Proc. European Control Conf. (ECC), Proc. European Control Conf. (ECC). Saint Petersburg, Russia, 2020, S. 1814–1819
    7. Heyen, Frank ; Munz, Tanja ; Neumann, Michael ; Ortega, Daniel ; Vu, Ngoc Thang ; Weiskopf, Daniel ; Sedlmair, Michael: ClaVis: An Interactive Visual Comparison System for Classifiers. In: Proceedings of the International Conference on Advanced Visual Interfaces, Proceedings of the International Conference on Advanced Visual Interfaces. Salerno, Italy : Association for Computing Machinery, 2020 — ISBN 9781450375351
    8. Hilder, Bastian: Modulating traveling fronts for the Swift-Hohenberg equation in the case of an additional conservation law. In: Journal of Differential Equations, Journal of Differential Equations. Bd. 269, Elsevier BV (2020), Nr. 5, S. 4353--4380
    9. Hirche, M. ; Köhler, P. N. ; Müller, M. A. ; Allgöwer, F.: Distributed Model Predictive Control for Consensus of Constrained Heterogeneous Linear Systems. In: Proc. 59th IEEE Conf. on Decision and Control (CDC), Proc. 59th IEEE Conf. on Decision and Control (CDC). Jeju Island, Republic of Korea, 2020, S. 1248–1253
    10. Holicki, Tobias ; Scherer, Carsten W.: Output-Feedback Synthesis for a Class of Aperiodic Impulsive Systems. In: IFAC-PapersOnline, IFAC-PapersOnline. Bd. 53, 2020, S. 7299–7304
    11. Holzmüller, D. ; Steinwart, I.: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent : Fakultät für Mathematik und Physik, Universität Stuttgart, 2020
    12. Holzmüller, David ; Steinwart, Ingo: Training two-layer relu networks with gradient descent is inconsistent. In: arXiv preprint arXiv:2002.04861, arXiv preprint arXiv:2002.04861. (2020)
    13. Holzmüller, David: On the Universality of the Double Descent Peak in Ridgeless Regression. In: arXiv preprint arXiv:2010.01851, arXiv preprint arXiv:2010.01851. (2020). — published as a conference paper at ICLR 2021
    14. Häufle, Daniel F. B. ; Wochner, Isabell ; Holzmüller, David ; Drieß, Danny ; Günther, Michael ; Schmitt, Syn: Muscles reduce neuronal information load : quantification of control effort in biological vs. robotic pointing and walking. In: Frontiers in Robotics and AI, Frontiers in Robotics and AI. Bd. 7, Frontiers (2020), S. 77
  9. I

    1. Imig, Dirke ; Pollak, Nadine ; Allgöwer, Frank ; Rehm, Markus: Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis. In: PLOS Computational Biology, PLOS Computational Biology. Bd. 16, Public Library of Science (2020), Nr. 6, S. 1–17
  10. K

    1. Kempter, Fabian ; Bechler, Florian ; Fehr, Jörg: Calibration Approach for Muscle Activated Human Models in Pre-Crash Maneuvers with a Driver-in-the-Loop Simulator. In: Proceedings in 6th Digital Human Modeling Symposium, Proceedings in 6th Digital Human Modeling Symposium. Skövde, Sweden, 2020
    2. Kneifl, Jonas ; Grunert, Dennis ; Fehr, Jörg: A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning : Universität Stuttgart, 2020
    3. Kunc, Oliver ; Fritzen, Felix: Many-scale finite strain computational homogenization via Concentric Interpolation. In: International Journal for Numerical Methods in Engineering, International Journal for Numerical Methods in Engineering. Bd. 121 (2020), Nr. 21, S. 4689--4716
    4. Kuritz, Karsten ; Stöhr, Daniela ; Maichl, Daniela Simone ; Pollak, Nadine ; Rehm, Markus ; Allgöwer, Frank: Reconstructing temporal and spatial dynamics from single-cell pseudotime using prior knowledge of real scale cell densities. In: Scientific Reports, Scientific Reports. Bd. 10, Nature Publishing Group (2020), Nr. 1, S. 3619
    5. Kurz, Marius ; Beck, Andrea: A machine learning framework for LES closure terms (2020). — cite arxiv:2010.03030
  11. M

    1. M, Mangiagalli ; H, Carvalho ; A, Natalello ; V, Ferrario ; ML, Pennati ; A, Barbiroli ; M, Lotti ; J, Pleiss ; u. a.: Diverse effects of aqueous polar co-solvents on Candida antarctica lipase B. In: Int J Biol Macromol, Int J Biol Macromol. Bd. 150 (2020), S. 930–940
    2. Mangiagalli, M ; Carvalho, H ; Natalello, A ; Ferrario, V ; Pennati, ML ; Barbiroli, A ; Lotti, M ; Pleiss, J ; u. a.: Diverse effects of aqueous polar co-solvents on Candida antarctica lipase B. In: Int J Biol Macromol, Int J Biol Macromol. Bd. 150 (2020), S. 930–940
    3. Martin, T. ; Koch, A. ; Allgöwer, F.: Data-driven surrogate models for LTI systems via saddle-point dynamics. In: Proc. 21st IFAC World Congress, Proc. 21st IFAC World Congress. Berlin, Germany, 2020, S. 971–976
    4. Martin, T. ; Allgöwer, F.: Iterative data-driven inference of nonlinearity measures via successive graph approximation. In: Proc. 59th IEEE Conf. Decision and Control (CDC), Proc. 59th IEEE Conf. Decision and Control (CDC). Jeju, South Korea, 2020, S. 4760–4765
    5. Michalowsky, S ; Scherer, C. W. ; Ebenbauer, C.: Robust and structure exploiting optimization algorithms: An integral quadratic constraint approach. In: Int. J. Control, Int. J. Control. (2020), S. 1–24
    6. Michalowsky, Simon ; Scherer, Carsten ; Ebenbauer, Christian: Robust and structure exploiting optimisation algorithms : an integral quadratic constraint approach. In: International Journal of Control, International Journal of Control. Bd. 2020, Taylor & Francis (2020), S. 1–24
    7. Molpeceres, G. ; Zaverkin, Viktor ; Kästner, Johannes: Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – I. adsorption and desorption. In: Mon. Not. R. Astron. Soc., Mon. Not. R. Astron. Soc. Bd. 499 (2020), S. 1373–1384
    8. Molpeceres, Germán ; Zaverkin, Viktor ; Kästner, Johannes: Neural-network assisted study of nitrogen atom dynamics on amorphous solid water--I. adsorption and desorption. In: Monthly Notices of the Royal Astronomical Society, Monthly Notices of the Royal Astronomical Society. Bd. 499, Oxford University Press (2020), Nr. 1, S. 1373--1384
    9. Munz, Tanja ; Schäfer, Noel ; Blascheck, Tanja ; Kurzhals, Kuno ; Zhang, Eugene ; Weiskopf, Daniel: Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games, DaRUS (2020)
    10. Munz, Tanja ; Schäfer, Noel ; Blascheck, Tanja ; Kurzhals, Kuno ; Zhang, Eugene ; Weiskopf, Daniel: Comparative Visual Gaze Analysis for Virtual Board Games. In: The 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020), The 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020). (2020)
    11. Munz, Tanja ; Schaefer, Noel ; Blascheck, Tanja ; Kurzhals, Kuno ; Zhang, Eugene ; Weiskopf, Daniel: Demo of a Visual Gaze Analysis System for Virtual Board Games. In: ACM Symposium on Eye Tracking Research and Applications, ACM Symposium on Eye Tracking Research and Applications. Stuttgart, Germany : Association for Computing Machinery, 2020
    12. Müller, Philipp ; Sood, Ekta ; Bulling, Andreas: Anticipating Averted Gaze in Dyadic Interactions. In: ACM Symposium on Eye Tracking Research and Applications, ACM Symposium on Eye Tracking Research and Applications. Stuttgart, Germany : Association for Computing Machinery, 2020 — ISBN 9781450371339, S. 1–10
    13. Müller, Steffen: Symplectic Neural Networks (2020). — Bachelor Thesis, Univ. of Stuttgart
  12. N

    1. Nguyen, Lu Trong Khiem ; Rambausek, Matthias ; Keip, Marc-André: Variational framework for distance-minimizing method in data-driven computational mechanics. In: Computer Methods in Applied Mechanics and Engineering, Computer Methods in Applied Mechanics and Engineering. Bd. 365, Elsevier BV (2020), S. 112898
  13. O

    1. Oladyshkin, Sergey ; Mohammadi, Farid ; Kröker, Ilja ; Nowak, Wolfgang: Bayesian3 active learning for Gaussian process emulator using information theory. In: Entropy, Entropy. Bd. 22, Multidisciplinary Digital Publishing Institute (2020), Nr. 0890, S. 1–27
    2. Oladyshkin, Sergey ; Mohammadi, Farid ; Kroeker, Ilja ; Nowak, Wolfgang: Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory. In: Entropy, Entropy. Bd. 22, MDPI AG (2020), Nr. 8, S. 890
  14. P

    1. Praditia, Timothy ; Walser, Thilo ; Oladyshkin, Sergey ; Nowak, Wolfgang: Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture. In: Energies, Energies. Bd. 13 (2020), Nr. 15, S. 3873
  15. R

    1. Reutzsch, Jonathan ; Kieffer-Roth, Corine ; Weigand, Bernhard: A consistent method for direct numerical simulation of droplet evaporation. In: Journal of Computational Physics, Journal of Computational Physics., Elsevier (2020), S. 109455
    2. Rohde, Christian ; Tang, Hao: On a stochastic Camassa--Holm type equation with higher order nonlinearities. In: Journal of Dynamics and Differential Equations, Journal of Dynamics and Differential Equations. Bd. 33, Springer (2020), S. 1823–1852
    3. Rösinger, C. A. ; Scherer, C. W.: Lifting to Passivity for $H_2$-Gain-Scheduling Synthesis with Full Block Scalings. In: IFAC-PapersOnline, IFAC-PapersOnline. Bd. 53, 2020, S. 7292–7298
  16. S

    1. Salm, Marie ; Barzen, Johanna ; Breitenbücher, Uwe ; Leymann, Frank ; Weder, Benjamin ; Wild, Karoline: The NISQ Analyzer: Automating the Selection of Quantum Computers for Quantum Algorithms. In: Proceedings of the 14th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2020), Proceedings of the 14th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2020) : Springer International Publishing, 2020, S. 66--85
    2. Salm, Marie ; Barzen, Johanna ; Leymann, Frank ; Weder, Benjamin: About a Criterion of Successfully Executing a Circuit in the NISQ Era: What $wd 1/\epsilon_eff$ Really Means. In: Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software, Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software : ACM, 2020
    3. Sarap, Chandra Shekar ; Putra, Miftahussurur Hamidi ; Fyta, Maria: Domain-size effect on the electronic properties of two-dimensional $MoS_2/WS_2$. In: Phys. Rev. B, Phys. Rev. B. Bd. 101, American Physical Society (2020), Nr. 7, S. 075129
    4. Schepp, Laura L ; Ahrens, Benedikt ; Balcewicz, Martin ; Duda, Mandy ; Nehler, Mathias ; Osorno, Maria ; Uribe, David ; Steeb, Holger ; u. a.: Digital rock physics and laboratory considerations on a high-porosity volcanic rock. In: Scientific Reports, Scientific Reports. Bd. 10, Nature Publishing Group (2020), Nr. 1, S. 1--16
    5. Schepp, Laura L. ; Ahrens, Benedikt ; Balcewicz, Martin ; Duda, Mandy ; Nehler, Mathias ; Osorno, Maria ; Uribe, David ; Steeb, Holger ; u. a.: Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets. DaRUS.
    6. Schlottke, Karin ; Reutzsch, Jonathan ; Kieffer-Roth, Corine ; Weigand, Bernhard: Direct Numerical Simulations of Evaporating Droplets at Higher Temperatures: Application of a Consistent Numerical Approach. In: Droplet Interactions and Spray Processes, Droplet Interactions and Spray Processes : Springer International Publishing, 2020, S. 287–299
    7. Schneider, Martin ; Weishaupt, Kilian ; Gläser, Dennis ; Boon, Wietse M ; Helmig, Rainer: Coupling staggered-grid and MPFA finite volume methods for free flow/porous-medium flow problems. In: Journal of Computational Physics, Journal of Computational Physics. Bd. 401, Elsevier (2020), S. 109012
    8. Schäfer Rodrigues Silva, A. ; Guthke, A. ; Höge, M. ; Cirpka, O.A. ; Nowak, W.: Strategies for simplifying reactive transport models - a Bayesian model comparison. In: Water Resources Research, Water Resources Research. Bd. 56 (2020), S. e2020WR028100
    9. Sivaraman, Ganesh ; Krishnamoorthy, Anand Narayanan ; Baur, Matthias ; Holm, Christian ; Stan, Marius ; Csányi, Gábor ; Benmore, Chris ; Vázquez-Mayagoitia, Álvaro: Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide. In: npj Computational Materials, npj Computational Materials. Bd. 6, Springer Science and Business Media LLC (2020), Nr. 1
    10. Sood, Ekta ; Tannert, Simon ; Frassinelli, Diego ; Bulling, Andreas ; Vu, Ngoc Thang: Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension. In: Proceedings of the 24th Conference on Computational Natural Language Learning, Proceedings of the 24th Conference on Computational Natural Language Learning. Online : Association for Computational Linguistics, 2020, S. 12--25
    11. Sood, Ekta ; Tannert, Simon ; Mueller, Philipp ; Bulling, Andreas: Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention. In: Larochelle, H. ; Ranzato, M. ; Hadsell, R. ; Balcan, M. F. ; Lin, H. (Hrsg.) ; Larochelle, H. ; Ranzato, M. ; Hadsell, R. ; Balcan, M. F. ; Lin, H. (Hrsg.): Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems. Bd. 33 : Curran Associates, Inc., 2020, S. 6327--6341
    12. Steigerwald, Jonas ; Ibach, Matthias ; Reutzsch, Jonathan ; Weigand, Bernhard: Towards the Numerical Determination of the Splashing Threshold of Two-component Drop Film Interactions. High Performance Computing in Science and Engineering ’20.
    13. Stockinger, P ; Roth, S ; Müller, M ; Pleiss, J: Systematic evaluation of imine-reducing enzymes: Common principles in imine reductases, β-hydroxyacid dehydrogenases, and short-chain dehydrogenases/reductases. In: ChemBioChem, ChemBioChem. (2020)
    14. Stöhr, Daniela ; Schmid, Jens O. ; Beigl, Tobias B. ; Mack, Alexandra ; Maichl, Daniela S. ; Cao, Kai ; Budai, Beate ; Fullstone, Gavin ; u. a.: Stress-induced TRAILR2 expression overcomes TRAIL resistance in cancer cell spheroids. In: Cell Death & Differentiation, Cell Death & Differentiation. (2020), Nr. 27, S. 3037–3052
    15. Stöhr, Daniela ; Jeltsch, Albert ; Rehm, Markus: TRAIL receptor signaling: From the basics of canonical signal transduction toward its entanglement with ER stress and the unfolded protein response. In: Cell Death Regulation in Health and Disease-Part A, Cell Death Regulation in Health and Disease-Part A., Academic Press (2020), S. 57
    16. Stöhr, Daniela ; Rehm, Markus: Linking hyperosmotic stress and apoptotic sensitivity. In: The FEBS Journal, The FEBS Journal., Blackwell Publishing Ltd (2020), S. febs.15520
  17. T

    1. Tomalka, André ; Weidner, Sven ; Hahn, Daniel ; Seiberl, Wolfgang ; Siebert, Tobias: Cross-Bridges and Sarcomeric Non-cross-bridge Structures Contribute to Increased Work in Stretch-Shortening Cycles. In: Frontiers in Physiology, Frontiers in Physiology. Bd. 11, Frontiers Media SA (2020)
    2. Tovey, Samuel ; Krishnamoorthy, Anand Narayanan ; Sivaraman, Ganesh ; Guo, Jicheng ; Benmore, Chris ; Heuer, Andreas ; Holm, Christian: DFT Accurate Interatomic Potential for Molten NaCl from Machine Learning. In: The Journal of Physical Chemistry C, The Journal of Physical Chemistry C. Bd. 124, American Chemical Society (ACS) (2020), Nr. 47, S. 25760--25768
  18. V

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