A physics-inspired approach to the understanding of molecular representations and models
- Luke Dicks
- David E. Graff
- et al.
- 2024
- MSDE
Paper
Publications
3 results for L. Dicks
Insights into machine learning models from chemical physics: an energy landscapes approach (EL for ML)
- Maximilian P. Niroomand
- Luke Dicks
- et al.
- 2024
- Digital Discovery
ReviewExploiting Sequence-Dependent Rotamer Information in Global Optimization of Proteins
- L. Dicks
- D.J. Wales
- 2022
- Journal of Physical Chemistry B
Paper