activity
20212026
most citedA CCSD(T)-based permutationally invariant polynomial 4-body potential for water

42 citations · 57 across the 7 of their papers we have counts for

collaborators

7 papers

physics.chem-ph2026

Monomeric machine learning potential for general covalent molecules: linear alkanes as an example

Xinze Li, Ruitao Ma, Chen Qu +2

Machine-learning potentials (MLPs) have become important tools for modern molecular simulations. However, developing models that simultaneously achieve high accuracy and high compu…

physics.chem-ph2025

"Gold-Standard" -Machine Learned and Transferable Potential for Linear Alkanes

Chen Qu, Thomas C. Allison, Apurba Nandi +4

The conformational properties of linear alkanes, CH, have been of intense interest for many years. Experiments and corresponding electronic structure calculations were…

physics.chem-ph2025★ 6 cited

The quantum nature of ubiquitous vibrational features revealed for ethylene glycol

Apurba Nandi, Riccardo Conte, Priyanka Pandey +4

Vibrational properties of molecules are of widespread interest and importance in chemistry and biochemistry. The reliability of widely employed approximate computational methods is…

physics.chem-ph2024★ 9 cited

Extending the atomic decomposition and many-body representation, a chemistry-motivated monomer-centered approach for machine learning potentials

Qi Yu, Ruitao Ma, Chen Qu +6

Most widely used machine learned (ML) potentials for condensed phase applications rely on many-body permutationally invariant polynomial (PIP) or atom-centered neural networks (NN)…

physics.chem-ph2024

Quantum mechanical deconstruction of vibrational energy transfer rate and pathways modified by collective vibrational strong coupling

Qi Yu, Dong H. Zhang, Joel M. Bowman

Recent experiments have demonstrated that vibrational strong coupling (VSC) between molecular vibrations and the optical cavity field can modify vibrational energy transfer (VET) p…

cs.LG2024

A high-accuracy multi-model mixing retrosynthetic method

Shang Xiang, Lin Yao, Zhen Wang +4

The field of computer-aided synthesis planning (CASP) has seen rapid advancements in recent years, achieving significant progress across various algorithmic benchmarks. However, ch…

physics.chem-ph2021★ 42 cited

A CCSD(T)-based permutationally invariant polynomial 4-body potential for water

Apurba Nandi, Chen Qu, Paul L. Houston +2

We report a permutationally invariant polynomial (PIP) potential energy surface for the water 4-body interaction. This 12-atom PES is a fit to 2119, symmetry-unique, CCSD(T)-F12a/h…