activity
20242026
most citedBreaking the Timescale Barrier: Generative Discovery of Conformational Free-Energy Landscapes and Transition Pathways

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

Learning multistate kinetics with a variational multistate committor network

Chenyu Tang, Cheng Giuseppe Chen, Benoît Roux +1

The long-time dynamics of complex molecular systems often involves rare transitions across networks of metastable states. Building on transition-path theory, which provides a rigor…

physics.chem-ph2026

A self-adaptive tube restraint for free-energy calculations along path collective variables

Radu A. Talmazan, Cheng Giuseppe Chen, Chenyu Tang +1

Path collective variables (PCVs) reduce a high-dimensional transition to a progress coordinate, s, and an orthogonal distance, z. Computing the free energy along s often requires r…

physics.comp-ph2025★ 1 cited

Breaking the Timescale Barrier: Generative Discovery of Conformational Free-Energy Landscapes and Transition Pathways

Chenyu Tang, Mayank Prakash Pandey, Cheng Giuseppe Chen +3

Molecular transitions -- such as protein folding, allostery, and membrane transport -- are central to biology yet remain notoriously difficult to simulate. Their intrinsic rarity p…

physics.comp-ph2025

Following the Committor Flow: A Data-Driven Discovery of Transition Pathways

Cheng Giuseppe Chen, Chenyu Tang, Alberto Megías +4

The discovery of transition pathways to unravel distinct reaction mechanisms and, in general, rare events that occur in molecular systems is still a challenge. Recent advances have…

physics.comp-ph2024

Iterative variational learning of committor-consistent transition pathways using artificial neural networks

Alberto Megías, Sergio Contreras Arredondo, Cheng Giuseppe Chen +3

This contribution introduces a neural-network-based approach to discover meaningful transition pathways underlying complex biomolecular transformations in coherence with the commit…