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1
CECAM flagship workshop: Machine Learning of First Principles Observables
08. Jul 2024 - 12. Jul 2024 • Berlin, Deutschland
Zusammenfassung:
Machine Learning methods have recently found widespread use in areas of atomistic modelling, mainly focusing on developing surrogate models for the potential energy surface with superior computational efficiency while retaining first principles accuracy. However, approaches to learning observable properties directly are just emerging and are challenged by several issues, which we intend to address in the workshop. The event is meant to support the development of a new collaborative, international network connecting different fields of research and integrating the young researchers community with the help of a scientifically diverse, interactive workshop.
Themen:
ML of electron density and Hamiltonians, ML of electronic observables, ML of mechanical & magnetic observables, ML of spectroscopic observables, ML of reaction networks, Theoretical and experimental databases
Eintrags-ID:
1612125
2
Dagstuhl-Seminar — Machine Learning for Protein-Protein and Protein-Ligand Interactions
03. Nov 2024 - 08. Nov 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Over the past few decades, machine learning (ML) has helped advance progress in a wide range of problems in computational biology and biochemistry, particularly towards understanding the structure and function of proteins. Similarly, in cheminformatics, ML is increasingly influencing pharmaceutical decision making and enabling novel drug design strategies. However, an area of great importance that requires further advances, likely involving significant innovations, is the understanding, prediction, and design of protein-protein and protein-ligand interactions. This Dagstuhl Seminar aims to connect the protein-ML and cheminformatics-ML communities and foster their communication with key experts in biology and chemistry. This seminar will allow us to discuss both theoretical and application-oriented ML topics in the context of protein-protein and protein-ligand interactions.
Eintrags-ID:
1589476
3
Mathematical Methods in Quantum Chemistry
16. Mär 2025 - 14. Mär 2025 • Oberwolfach, Deutschland
Themen:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1605130


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