Computational Chemistry
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Koopman-Inspired Neural Networks for Molecular System Dynamics
The ISOKANN framework leverages Koopman operators and neural networks to extract collective variables and effective dynamics from complex molecular systems. This approach provides a principled way to analyze metastable transitions, determine transition rates and times, and map transition pathways in…