Forschungsgruppe Theoretische Materialchemie

Organization Name (de) Name der Organisation (de)
E165-03-1 - Forschungsgruppe Theoretische Materialchemie
 
Code Kennzahl
E165-03-1
 
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Parent OrgUnit Übergeordnete Organisation
 
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Results 1-20 of 177 (Search time: 0.001 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Dypvik 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
2Vidal-Lopez-2024-Catalysis Science  Technology-vor.pdf.jpgVidal-López, Anna ; Díaz López, Estefanía ; Comas-Vives, Aleix Enhanced catalytic performance of single-atom Cu on Mo₂C toward CO₂/CO hydrogenation to methanol: a first-principles studyArticle Artikel 7-Dec-2024
3Morales-Garcia-2024-Materials Today Catalysis-vor.pdf.jpgMorales-García, Ángel ; Gouveia, José ; Vidal-López, Anna ; Comas-Vives, Aleix ; Viñes, Francesc ; Gomes, José ; Illas, Francesc MXene termination and stacking bias on the reverse water gas shift reaction catalysisArticle Artikel 1-Dec-2024
4Dinu-2024-ACS Physical Chemistry Au-vor.pdf.jpgDinu, Dennis Florian ; Önen, Kemal ; Schlagin, Jonas ; Podewitz, Maren ; Grothe, Hinrich ; Loerting, Thomas ; Liedl, Klaus R. How Vibrational Notations Can Spoil Infrared Spectroscopy: A Case Study on Isolated MethanolArticle Artikel 27-Nov-2024
5Bichelmaier, Sebastian ; Carrete, Jesús ; Madsen, Georg K. H. Neural network enabled molecular dynamics study of HfO₂ phase transitionsArticle Artikel 7-Nov-2024
6Comas Vives, Aleix Nature of active sites in CO2 hydrogenation catalystsPresentation Vortrag23-Oct-2024
7Podewitz, Maren Towards Predictive and Operando Computational Catalysis – Examples from Transition-Metal CatalysisPresentation Vortrag11-Oct-2024
8Podewitz, Maren From data to chemistry: machine learning reveals reaction coordinates and causality in supramolecular transition-metal catalysisPresentation Vortrag8-Oct-2024
9Wanzenboeck-2024-Digital Discovery-vor.pdf.jpgWanzenböck, Ralf ; Heid, Esther Carina ; Riva, Michele ; Franceschi, Giada ; Imre, Alexander Michael ; Carrete, Jesús ; Diebold, Ulrike ; Madsen, Georg Kent Hellerup Exploring inhomogeneous surfaces: Ti-rich SrTiO₃(110) reconstructions via active learningArticle Artikel 1-Oct-2024
10Rafsanjani-Abbasi-2024-ACS Nano-vor.pdf.jpgRafsanjani-Abbasi, Ali ; Buchner, Florian ; Lewis, Faith Julia ; Puntscher, Lena ; Kraushofer, Florian ; Sombut, Panukorn ; Eder, Moritz Maximilian Joachim ; Pavelec, Jiri ; Rheinfrank, Erik Hermann ; Franceschi, Giada ; Birschitzky, Viktor ; Riva, Michele ; Franchini, Cesare ; Schmid, Michael ; Diebold, Ulrike ; Meier, Matthias ; Madsen, Georg Kent Hellerup ; Parkinson, Gareth Digging its own site: linear coordination stabilizes a Pt₁/Fe₂O₃ single-atom catalystArticle Artikel 1-Oct-2024
11Buchner, Florian ; Schörghuber, Johannes ; Unglert, Nico ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup msmJAX: Fast Electrostatics in Python with the Multilevel Summation MethodPresentation Vortrag25-Sep-2024
12Unglert, Nico ; Livia B. Partay ; Madsen, Georg Kent Hellerup Boosting nested sampling with replica-exchangePresentation Vortrag25-Sep-2024
13Heid, Esther Carina We Don’t Need a Machine for Being Confused: On the Correlation of Error and UncertaintyPresentation Vortrag23-Sep-2024
14Kovacs-2024-MACHINE LEARNING-SCIENCE AND TECHNOLOGY-vor.pdf.jpgKovács, Péter ; Heid, Esther ; De Landsheere, Jasper ; Madsen, Georg K H LoGAN: local generative adversarial network for novel structure predictionArticle Artikel 23-Sep-2024
15Heid, Esther Carina Machine Learning in ChemistryPresentation Vortrag12-Sep-2024
16Heid, Esther Carina ; Schörghuber, Johannes ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Spatially Resolved Uncertainties for Machine Learning PotentialsArticle Artikel 26-Aug-2024
17Podewitz, Maren From Data to Chemistry: Machine Learning Reveals Reaction Coordinates in Supramolecular Transition-Metal CatalysisPresentation Vortrag20-Aug-2024
18Reicht-2024-Molecules-vor.pdf.jpgReicht, Lukas ; Legenstein, Lukas ; Wieser, Sandro ; Zojer, Egbert Designing Accurate Moment Tensor Potentials for Phonon-Related Properties of Crystalline PolymersArticle Artikel 6-Aug-2024
19Magenheim, Lukas Bernhard ; Podewitz, Maren ; Talmazan, Radu Alexandru Quantum Chemical Microsolvation with Automated Free Energy Based Solvent PlacementPresentation VortragAug-2024
20Talmazan, Radu Alexandru ; Podewitz, Maren From Data to Chemistry: Revealing Causality and Reaction Coordinates through interpretable Machine Learning in Supramolecular Transition Metal CatalysisPresentation Vortrag23-Jul-2024