SOURCE-LINKED INTELLIGENCE
Field-Theory Approach to Molecular Interactions
ar Hamiltonians for modeling large-scale systems with 10^4-10^6 atoms. The applicability of these challenging developments to realistic molecules will be ensured by: (WP3) implementation of non-local machine learning force fields based on second-quantized matrix Hamiltonians for efficient molecular dynamics simulations of molecular ensembles, (WP4) implementation of QED/FIT methods in an open-source package FITMOL for increasing the accuracy, improving the efficiency, and enhancing the insight that one obtains from quantum-mechanical calculations of large molecules. It is my vision that revealing fundamental mechanisms of functional (bio)molecules with millions of atoms requires a radically new field-theory approach to molecular interactions. Achieving this goal will be the main breakthrough of the FITMOL project. quantum fluctuations, complex molecules, quantum field theory, machine learning
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2500000
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.