Project
AA-Health-2
Learning Fast and Accurate Long-Ranged Interactions in Multiscale Molecular Systems
Project Heads
Frank Noé, Cecilia Clementi
Project Members
Till Grutschus
Project Duration
01.07.2026 − 30.06.2028
Located at
FU Berlin
Description
Machine-learned force fields (MLFFs) are fast emulators of materials and molecules at quantum Chemical accuracy and are becoming a cornerstone of materials and drug design. However, MLFFs are by design local. In this project we will develop and implement a systematic algorithmic framework to learn fast and accurately long-range interactions in MLFFs.
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