Forschungsgruppe Theoretische Materialchemie

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E165-03-1 - Forschungsgruppe Theoretische Materialchemie
 
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E165-03-1
 
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Results 1-100 of 282 (Search time: 0.0 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Adel-2026-Physical Chemistry Chemical Physics-vor.pdf.jpgAdel, Alexander ; Wanzenböck, Ralf ; Madsen, Georg K. H. Completing the hierarchy of rotational defects in monolayer MoS₂ through symmetry-aware evolutionary searchArticle Artikel 14-Jan-2026
2Wieser-2025-Journal of Chemical Theory and Computation-vor.pdf.jpgWieser, Sandro ; Cen, Yu-Jie ; Madsen, Georg K. H. ; Carrete, Jesús Accelerating First-Principles Molecular-Dynamics Thermal Conductivity Calculations for Complex SystemsArticle Artikel 13-Jan-2026
3Gonzalez-Rodriguez-2026-Green Chemistry-vor.pdf.jpgGonzález-Rodríguez, Jorge ; Jurkaš, Valentina ; Puchľová, Eva ; Podewitz, Maren ; Parmeggiani, Fabio ; Winkler, Margit ; Both, Peter ; Šiška, Peter ; Rudroff, Florian Sustainable phosphate-catalyzed synthesis of non-symmetric pyrazines in water – mechanistic insights, biocatalytic applications and industrial potentialArticle Artikel 12-Jan-2026
4Comas-Vives-2026-Accounts of Chemical Research-vor.pdf.jpgComas-Vives, Aleix ; Copéret, Christophe Nature and Dynamics of Active Sites in Cu-Based Catalysts for the CO₂ Hydrogenation to MethanolArticle Artikel 6-Jan-2026
5Grigorash-2025-Chemical Engineering Science-vor.pdf.jpgGrigorash, Daria ; Müller, Simon ; Heid, Esther ; Neese, Frank ; Liakos, Dimitrios G. ; Riplinger, Christoph ; Garcia-Ratés, Miquel ; Paricaud, Patrice ; Stenby, Erling H. ; Smirnova, Irina ; Yan, Wei A comprehensive approach to incorporating intermolecular dispersion into the openCOSMO-RS model. Part 2: Atomic polarizabilitiesArticle Artikel 1-Jan-2026
6Wei-2025-CCS Chemistry-vor.pdf.jpgWei, Zhou ; Praveen, C. S. ; Wang, Wei ; He, Chenxi ; Toyao, Takashi ; Shimizu, Ken-ichi ; Toyoshima, Ryo ; Kondoh, Hiroshi ; Wang, Yuhao ; Wang, Chunliang ; Paterson, James ; Southouse, Jamie ; Pauletti, Carlo Federico ; Comas-Vives, Aleix ; Copéret, Christophe PtZn Versus PtGa in CO₂ Hydrogenation: When Alloy Stability and Redox Dynamics Drive SelectivityArticle Artikel Jan-2026
7Pajares, Arturo ; Yadavalli, Sai Sharath ; Prats Garcia, Hector ; Ramirez de la Piscina, Pilar ; Stamatakis, Michail ; Homs, Narcís Supported Vanadium Carbide Catalysts for Reverse Water Gas Shift and Methanol Steam Reforming: Activity, Stability, and Coking PathwaysArticle Artikel 10-Dec-2025
8Gerhaher, Anna Charlotte ; Sulpizio, Giustino ; Jorner, Kjell ; Heid, Esther Carina CGR-SMILES: A Compact and Universal Sequence Representation for Chemical Reaction ModelingPresentation Vortrag2-Dec-2025
9Heid, Esther Reactivity Without Borders: A Multilingual AI for ChemistryPresentation Vortrag1-Dec-2025
10Galustian-2025-Digital Discovery-vor.pdf.jpgGalustian, Leonard ; Mark, Konstantin ; Karwounopoulos, Johannes ; Kovar, Maximilian P.-P. ; Heid, Esther GoFlow: efficient transition state geometry prediction with flow matching and E(3)-equivariant neural networksArticle Artikel 1-Dec-2025
11Schranz, Wilfried ; Tröster, Andreas ; Carpenter, Michael A Ferroelastic phase transitions—well-known results and new perspectivesBook Contribution BuchbeitragDec-2025
12Heid, Esther Uncertainty and error quantification in machine learning potentialsInproceedings Konferenzbeitrag26-Nov-2025
13Soto Rodriguez, Itzi Giselle ; Prats Garcia, Hector ; Erhard, Linus Carl ; Comas-Vives, Aleix Stability and Activity of CuAu Nanoparticles in the Water-Gas Shift Reaction: A First-Principles and Microkinetic StudyPresentation Vortrag18-Nov-2025
14Ielo, Laura ; Heinzle, Samuel ; Perona, Cecilia ; Heid, Esther Carina ; Bica-Schröder, Katharina AI-Guided Design of Rpn10 Inhibitors for the Treatment of Multiple MyelomaPresentation Vortrag17-Nov-2025
15Banu, Rares ; Loxha, Adea ; Müller, Nicole ; Spyroglou, Stylianos ; Rosenberg, Egon-Erwin ; Palomares Gimeno, A. Eduardo ; Rey, Fernando ; Marini, Carlo ; Barrabés Rabanal, Noelia Influences on the activity of atomically defined gold nanocluster catalysts for selective hydrogenation reactionsPresentation Vortrag12-Nov-2025
16Podewitz, Maren Navigating Free Energy Landscapes from Static Mechanisms to Reaction DynamicsPresentation Vortrag11-Nov-2025
17Karwounopoulos-2025-Digital Discovery-vor.pdf.jpgKarwounopoulos, Johannes ; De Landsheere, Jasper ; Galustian, Leonard ; Jechtl, Tobias ; Heid, Esther Carina Graph-based prediction of reaction barrier heights with on-the-fly prediction of transition statesArticle Artikel 1-Nov-2025
18Ti-2025-Physical Review Materials-vor.pdf.jpgTi, Zhuoyang ; Carrete, Jesús ; Li, Jingyu ; Zhang, Yongsheng ; Madsen, Georg K. H. Influence of point defects on thermal conductivity in TiFeₓNi₁₋ₓSb alloysArticle Artikel Nov-2025
19Lützen, Arne ; McConnell, Anna ; Podewitz, Maren Dual stimuli spin-crossover coordination cages in solution - theory and experimentPresentation Vortrag1-Oct-2025
20Talmazan, Radu Alexandru ; Gamper, J ; Castillo, I ; Hofer, T S ; Podewitz, Maren Coupling causality and interpretable machine learning to reveal the reaction coordinate of C-N coupling with a supramolecular Cu-calix[8]arene catalystArticle Artikel 1-Oct-2025
21Erhard, Linus Carl ; Schörghuber, Johannes ; Comas-Vives, Aleix ; Madsen, Georg Kent Hellerup Active learning of rough copper-water interface potentialsPresentation VortragOct-2025
22Mähr, Martin ; Talmazan, Radu A. ; Podewitz, Maren Quantification of Reaction Barriers Under Diffusion Controlled ConditionsArticle Artikel 30-Sep-2025
23Podewitz, Maren Generating reliable and reproducible data for reusable quantum chemical reaction free-energy profilesPresentation Vortrag25-Sep-2025
24Heid, Esther Carina Uncertain Foundation Models for Complex Surface ReconstructionsPresentation Vortrag24-Sep-2025
25Podewitz, Maren Navigating Free Energy Landscapes from Static Mechanisms to Reaction DynamicsPresentation Vortrag24-Sep-2025
26Heid, Esther Carina Proposal writing: How to sell your project ideaPresentation Vortrag23-Sep-2025
27Mähr, Martin ; Podewitz, Maren ; Talmazan, Radu A. Quantification of Reaction Barriers under Diffusion Controlled ConditionsPresentation Vortrag22-Sep-2025
28Dinu, Dennis Florian ; Klein, Bastian ; Zhang, Chaojiang ; Talmazan, Radu A. ; Loerting, Thomas ; Grothe, Hinrich ; Kaiser, Ralf I. ; Podewitz, Maren Cover Feature: UV–Vis Spectra of Carbonic Acid: Rationalizing Experimental Redshifts between Monomer and Bulk based on (H₂CO₃)ₙ Calculations (ChemPhysChem 18/2025)Multimedia and Design Multimedia und Design22-Sep-2025
29Dinu, Dennis Florian ; Klein, Bastian ; Zhang, Chaojiang ; Talmazan, Radu Alexandru ; Loerting, Thomas ; Grothe, Hinrich ; Kaiser, Ralf I ; Podewitz, Maren UV-Vis Spectra of Carbonic Acid: Rationalizing Experimental Redshifts between Monomer and Bulk based on (H2CO3) CalculationsArticle Artikel 19-Sep-2025
30Podewitz, Maren Navigating free energy landscapes from static conformations to dynamic mechanisms with physics-based and ML-assisted methodsPresentation Vortrag16-Sep-2025
31Heid, Esther Carina Predictive and Generative AI for Chemical ReactionsPresentation Vortrag15-Sep-2025
32Pajares-2025-Chemical Engineering Journal-vor.pdf.jpgPajares, Arturo ; Tanriverdi, Murat ; Coutino-Gonzalez, Eduardo ; Andrade-Arvizu, Jacob ; Guc, Maxim ; Guardia, Pablo ; Prats, Hector ; Michielsen, Bart Engineering 3D-printed molybdenum carbide catalysts for selective CO₂ reduction to COArticle Artikel 15-Sep-2025
33Buckova-2025-Journal of Chemical Physics-vor.pdf.jpgBuckova, Nina ; Unglert, Nico ; Schörghuber, Johannes ; Heid, Esther ; Berland, Kristian ; Madsen, Georg Kent Hellerup The density isobar of water: A comparative study of vdW-DF-cx and RPBE-D3Article Artikel 14-Sep-2025
34Comas-Vives, Aleix Atomistic Understanding of MXenes as Catalysts and Single-Atom Catalyst Supports for C1 ConversionPresentation Vortrag10-Sep-2025
35Mähr, Martin ; Talmazan, Radu A. ; Podewitz, Maren Quantification of Reaction Barriers under Diffusion Controlled ConditionsPresentation Vortrag9-Sep-2025
36Unglert, Nico ; Livia Bartók-Pártay ; Madsen, Georg Kent Hellerup Replica Exchange Nested SamplingPresentation Vortrag5-Sep-2025
37Comas-Vives, Aleix ML-Prediction of Adsorption and Surface Reaction EnergiesPresentation Vortrag4-Sep-2025
38Heid, Esther Carina How to Encode Chemistry: Graph Models for Molecule and Reaction AIPresentation Vortrag4-Sep-2025
39Aspermair, Patrik ; Bintinger, Johannes ; Brandstätter, Klara ; Rosenberg, Erwin ; Heid, Esther ; Errhalt, Peter Digitale Spürnase - wie Handys das Riechen lernenSpecial Contribution Spezialbeitrag4-Sep-2025
40De Landsheere, Jasper ; Karwounopoulos, Johannes ; Gerhaher, Anna Charlotte ; Galustian, Leonard ; Kovar, Maximilian Peter-Paul ; Zamyatin, Anton ; Mark, Konstantin Alexander ; Ganser, Leon ; Gstöttenmayr, Stephanie ; Teis Hannah ; Zeller Benjamin ; Heid, Esther Carina Deep Learning for Chemical Reactions: Activation Energy PredictionPresentation VortragSep-2025
41Doloszeski, Eva ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Neural Network–Backed Evolutionary Search for Novel (2×4) SrTiO3 (110) Surface Reconstructions from Random Initial StructuresPresentation VortragSep-2025
42Enders, Vincent ; Dinu, Dennis Florian ; Grothe, Hinrich ; Podewitz, Maren ; Tischberger, Markus ; Stolzenburg, Dominik Marco Freezing atmospheric organic nucleation: Using Matrix Isolation FTIR as a new methodPresentation Vortrag28-Aug-2025
43Zimmerli-2025-ACS Catalysis-vor.pdf.jpgZimmerli, Nora K. ; Usuga, Andrés F. ; Checchia, Stefano ; Comas-Vives, Aleix ; Müller, Christoph R. ; Abdala, Paula M. How Does the Ni-Ga Alloy Structure Tune Methanol Productivity and Selectivity?Article Artikel 15-Aug-2025
44Unglert-2025-Journal of Chemical Theory and Computation-vor.pdf.jpgUnglert, N. ; Pártay, L. B. ; Madsen, G. K. H. Replica Exchange Nested SamplingArticle Artikel 12-Aug-2025
45Prats Garcia, Hector ; Stamatakis, Michail A general framework for accelerating Kinetic Monte Carlo simulations of catalytic processesPresentation Vortrag5-Aug-2025
46Podewitz, Maren Generating reliable and reproducible data for reusable quantum chemical reaction free-energy profilesArticle Artikel Aug-2025
47Mai, Xinghong ; Wang, Zhao ; Pan, Lijun ; Schörghuber, Johannes ; Kovács, Péter ; Carrete, Jesús ; Madsen, Georg Kent Hellerup Computing anharmonic infrared spectra of polycyclic aromatic hydrocarbons using machine learning molecular dynamicsArticle Artikel Aug-2025
48Ketter, Michael ; Heid, Esther ; Madsen, Georg Kent Hellerup Search for reactive saddle points via importance resamplingInproceedings KonferenzbeitragAug-2025
49Unglert, Nico ; Livia Bartók-Pártay ; Madsen, Georg Kent Hellerup Replica Exchange Nested SamplingInproceedings KonferenzbeitragAug-2025
50Doloszeski, Eva ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Neural Network–Backed Evolutionary Search for Novel (2×4) SrTiO3 (110) Surface Reconstructions from Random Initial StructuresInproceedings KonferenzbeitragAug-2025
51Podewitz, Maren What We Leave Out (and Why It Matters): A Realistic Approach to Reactivity ModelingPresentation Vortrag24-Jul-2025
52Prats-2025-JOURNAL OF PHYSICAL CHEMISTRY A-vor.pdf.jpgPrats, Hector ZacrosTools: A Python Library for Automated Preparation, Analysis, and Visualization of Kinetic Monte Carlo Simulations with ZacrosArticle Artikel 24-Jul-2025
53Mukherjee, Jyotima ; Ostermann, Nils ; Pecak, Jan ; Otte, Matthias ; Podewitz, Maren ; Siewert, Inke Mechanistic Studies of the Proton-Coupled Electron Transfer Reactivity of a Cobalt Complex with a Proton-Responsive PNP Pincer-Type LigandArticle Artikel 21-Jul-2025
54Heid, Esther Carina Active and generative learning on ML potentials: From interfaces to reaction pathwaysPresentation Vortrag16-Jul-2025
55Heid, Esther Carina Deep Learning and Generative AI for Chemical ReactionsPresentation Vortrag15-Jul-2025
56Madsen, Georg Taming inhomogeneous oxide surfaces using NNFFsPresentation Vortrag3-Jul-2025
57Podewitz, Maren From In Silico Mechanism to Operando Insight: Tools and Workflows for Olefin Metathesis and BeyondPresentation Vortrag1-Jul-2025
58Prats Garcia, Hector ; Stamatakis, Michail Pushing the limits of Kinetic Monte Carlo simulations for complex systems: Exploring single-cluster catalystsPresentation VortragJul-2025
59Wang, Yitian ; Su, Yaokun ; Carrete, Jesús ; Zhang, Huanyu ; Wu, Nan ; Li, Yutao ; Li, Hongze ; He, JiaMing ; Xu, Youming ; Guo, Shucheng ; Cai, Qingan ; Abernathy, Douglas L. ; Williams, Travis ; Kravchyk, Kostiantyn V. ; Kovalenko, Maksym V. ; Madsen, Georg K. H. ; Li, Chen ; Chen, Xi Origin of Intrinsically Low Thermal Conductivity in a Garnet-Type Solid Electrolyte: Linking Lattice and Ionic Dynamics with Thermal TransportArticle Artikel Jul-2025
60Heid, Esther Carina Chemistry and AI: Perfect (mis)match?Presentation Vortrag26-Jun-2025
61Soto Rodriguez, Itzi Giselle ; Prats Garcia, Hector ; Comas Vives, Aleix Stability and Activity of Cu-Au Nanoparticles in the Water-Gas Shift Reaction based on First PrinciplesInproceedings Konferenzbeitrag17-Jun-2025
62Ielo, Laura ; Heid, Esther Carina ; Schröder, Katharina AI-Guided Design of Rpn10 Inhibitors for the Treatment of Multiple MyelomaPresentation Vortrag12-Jun-2025
63Plangger, Immanuel ; Schmidhammer, Elias ; Schaar, Sebastian ; Wurst, Klaus ; Podewitz, Maren ; Magauer, Thomas Non-enzymatic methylcyclization of alkenesArticle Artikel Jun-2025
64Erhard, Linus Carl ; Schörghuber, Johannes ; Comas-Vives, Aleix ; Madsen, Georg Kent Hellerup How Realistic are Idealized Copper Surfaces? A Machine Learning Study of Rough Copper-Water InterfacesInproceedings KonferenzbeitragJun-2025
65Mark, Konstantin Alexander ; Kovar, Maximilian Peter-Paul ; Galustian, Leonard ; Heid, Esther Flow-Matching Model as Surrogate for Nudged Elastic Band Search to generate SN2 Transition StatesInproceedings KonferenzbeitragJun-2025
66Doloszeski, Eva ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Exploring (2×4) Ti-Rich SrTiO₃(110) Reconstructions Using Machine-Learned Force Fields Combined with Evolutionary SearchInproceedings KonferenzbeitragJun-2025
67Heid, Esther Carina Tailoring Machine Learning to ChemistryPresentation Vortrag27-May-2025
68Podewitz, Maren Development of More Realistic Computational Models for (Transition-Metal) ChemistryPresentation Vortrag27-May-2025
69Wieser, Sandro Modelling transport properties in porous materials using machine-learned force fieldsPresentation Vortrag13-May-2025
70Vidal-Lopez-2025-JOURNAL OF PHYSICAL CHEMISTRY C-vor.pdf.jpgVidal-López, Anna ; Mahringer, Judith ; Comas-Vives, Aleix Key Descriptors of Single-Atom Catalysts Supported on MXenes (Mo₂C, Ti₂C) Determining CO₂ ActivationArticle Artikel 8-May-2025
71Schoerghuber-2025-Physical Chemistry Chemical Physics-vor.pdf.jpgSchörghuber, Johannes ; Bučková, Nina ; Heid, Esther Carina ; Madsen, Georg K. H. From flat to stepped: active learning frameworks for investigating local structure at copper-water interfacesArticle Artikel 7-May-2025
72Enders, Vincent ; Dinu, Dennis F. ; Grothe, Hinrich ; Podewitz, Maren ; Tischberger, Markus ; Stolzenburg, Dominik Freezing atmospheric organic nucleation: A matrix isolation studyInproceedings KonferenzbeitragMay-2025
73Madsen, Georg Defect Thermochemistry (Spinney)Presentation Vortrag18-Apr-2025
74Madsen, Georg Machine learned Force FieldsPresentation Vortrag18-Apr-2025
75Madsen, Georg Transport: BoltztrapPresentation Vortrag17-Apr-2025
76Wolf-2025-ACS Applied Energy Materials-vor.pdf.jpgWolf, Maximilian ; Madsen, Georg K. H. ; Dimopoulos, Theodoros Bayesian Optimization of Spray Parameters for the Deposition of Ga₂O₃-Cu₂O HeterojunctionsArticle Artikel 14-Apr-2025
77Soprunyuk, V. ; König, Paul ; Tröster, Andreas ; Schranz, W. ; Carpenter, M. A. ; Salje, E. K. H. Domain glass dynamics of potassium thiocyanate (KSCN)Article Artikel 14-Apr-2025
78Madsen, Georg Kent Hellerup Machine-learned force fields for metal-liquid interfacesPresentation Vortrag5-Apr-2025
79Heid, Esther Carina AI for Chemists: Tools, Capabilities, and the Future of ChemistryPresentation Vortrag3-Apr-2025
80De Landsheere, Jasper ; Galustian, Leonard Deep Learning for Reaction Barrier Height PredictionPresentation Vortrag1-Apr-2025
81Heid, Esther Carina Chemistry and AI: Navigating a career in an evolving fieldPresentation Vortrag1-Apr-2025
82Wieser, Sandro ; Cen, YuJie ; Madsen, Georg Kent Hellerup ; Carrete, Jesus Influence of defects and shape of thin InAs nanowires on their thermal conductivity, assessed via machine-learning potentialsPresentation Vortrag20-Mar-2025
83Podewitz, Maren Towards predictive and operando computational catalysis: Examples from transition-metal chemistryPresentation VortragMar-2025
84Mueller-2025-Helvetica Chimica Acta-vor.pdf.jpgMüller, Andreas ; Comas-Vives, Aleix ; Copéret, Christophe Effect of Particle Size and Alloying with Gallium and Zinc in Copper Nanoparticles from Ab Initio Molecular DynamicsArticle Artikel Mar-2025
85Podewitz, Maren Capturing Reality in Silico: Development of More Realistic Computational Models for (Transition-Metal) ChemistryPresentation Vortrag27-Feb-2025
86Madsen, Georg Active learning of machine-learned force fields for interfacesPresentation Vortrag21-Feb-2025
87Prats-2025-ACS Catalysis-vor.pdf.jpgPrats, Hector ; Stamatakis, Michail First-Principles Kinetic Monte Carlo Simulations for Single-Cluster Catalysis: Study of CO₂ and CH₄ Conversion on Pt/HfCArticle Artikel 21-Feb-2025
88Legenstein, Lukas ; Reicht, Lukas ; Wieser, Sandro ; Simoncelli, Michele ; Zojer, Egbert Heat transport in crystalline organic semiconductors: coexistence of phonon propagation and tunnelingArticle Artikel 14-Feb-2025
89Lindner-2025-Journal of Physical Chemistry Letters-vor.pdf.jpgLindner, Florian P. ; Strasser, Nina ; Schultze, Martin ; Wieser, Sandro ; Slugovc, Christian ; Elsayad, Kareem ; Koski, Kristie J. ; Zojer, Egbert ; Czibula, Caterina Combining Brillouin Light Scattering Spectroscopy and Machine-Learned Interatomic Potentials to Probe Mechanical Properties of Metal-Organic FrameworksArticle Artikel 6-Feb-2025
90Wolf, Maximilian ; Götz, Selina ; Madsen, Georg Kent Hellerup ; Dimopoulos, Theodoros COHESIVM: Combinatorial h+/e- Sample Investigation using Voltaic MeasurementsArticle Artikel 5-Feb-2025
91Buchner, Florian msmJAX: Fast and Differentiable Electrostatics on the GPUPresentation Vortrag4-Feb-2025
92Doloszeski, Eva ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Exploring (2×4) Ti-Rich SrTiO3(110) Reconstructions Using Machine-Learned Force Fields Combined with Evolutionary SearchPresentation VortragFeb-2025
93Heid, Esther Carina Characterization of Uncertainties and Errors in Machine LearningPresentation Vortrag31-Jan-2025
94Podewitz, Maren Towards Predictive and Operando Computational Catalysis – Examples From Transition-Metal ChemistryPresentation Vortrag22-Jan-2025
95Heid, Esther Carina Tailoring machine learning to chemical reactionsPresentation Vortrag16-Jan-2025
96Dypvik Sødahl, Elin ; Carrete, Jesús ; Madsen, Georg K. H. ; Berland, Kristian Dynamical Disorder in the Mesophase Ferroelectric HdabcoClO₄: A Machine-Learned Force Field StudyArticle Artikel 9-Jan-2025
97Podewitz, Maren Towards Predictive and Operando Computational Catalysis – Examples From Transition-Metal ChemistryPresentation Vortrag7-Jan-2025
98Wanzenböck, Ralf ; Heid, Esther ; Riva, Michele ; Franceschi, Giada ; Imre, Alexander Michael ; Carrete, Jesús ; Diebold, Ulrike ; Madsen, Georg Kent Hellerup Exploring inhomogeneous surfaces via active learningInproceedings Konferenzbeitrag2025
99Wieser, Sandro ; Cen, YuJie ; Madsen, Georg Kent Hellerup ; Carrete, Jesús Accelerating Green-Kubo heat transport simulations for quasi-1D systems using highly accurate machine-learned force fieldsInproceedings Konferenzbeitrag2025
100Buchner, Florian ; Schörghuber, Johannes ; Unglert, Nico ; Carrete, Jesús ; Madsen, Georg Kent Hellerup msmJAX: Fast and Differentiable Electrostatics on the GPU in PythonInproceedings Konferenzbeitrag2025