Project Details
Description
Development of robust and flexible machine learning algorithms to optimize runtime and efficiency of molecular and multi-scale simulations on high performance computing systems, with immediate applications in process engineering and thermodynamics.
| Short title | AutoMD-AI |
|---|---|
| Acronym | AutoMD-AI |
| Status | Active |
| Effective start/end date | 1/10/24 → 30/09/27 |
Collaborative partners
- Universität Hamburg (Project partner)
- Assistant Professorship of Physics-enhanced Machine Learning (lead)
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