| Adresse | Multiscale Modeling of Fluid Materials Maschinenwesen, TUM Boltzmannstr. 15 85748 Garching bei München, Deutschland |
| Büro | Gebäude 1, 2. Stock, Raum 5501.02.129 |
| Telefon | +49 (89) 289 - 55301 |
| m.sanocki(at)tum.de |
Research Interests
- Machine Learning
- Graph Neural Networks
- Computational Chemistry
- Metal Organic Frameworks (MOF)
Education
| 2024 | MSc. Computational Science University of Amsterdam |
| 2024 | Exchange program, University of British Columbia |
| 2022 | BSc. Chemistry University of Warschau |
| 2021 | BSc. Quantitive Methods Warsaw School of Economics |
Publications
- Relative generality and risk: quantitative measures for broad catalyst success M. Sanocki, H. C. Russell, J. Handjaya, and J. P. Reid, ACS Catalysis, 11 2024, DOI: 10.1021/acscatal.4c04395
- Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration (2025). Fuchs, P., Sanocki, M., Zavadlav, J.: https://arxiv.org/abs/2501.19179