activity
20182025
most citedMolecular machine learning with conformer ensembles

10 citations · 18 across the 8 of their papers we have counts for

collaborators

18 papers

cond-mat.mtrl-sci2025

Thermal Equilibrium Vacancy Concentration in an Alloy with Chemical Short-Range Order

Hao Tang, Hoje Chun, Rafael Gomez-Bombarelli +2

The equilibrium vacancy concentration in multi-principal element alloys remains a controversial and nontrivial subject, primarily because of chemical complexity and chemical short-…

cond-mat.mtrl-sci20252 cited

DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning

Elton Pan, Soonhyoung Kwon, Sulin Liu +9

The synthesis of crystalline materials, such as zeolites, remains a significant challenge due to a high-dimensional synthesis space, intricate structure-synthesis relationships and…

cond-mat.mtrl-sci2024

Deep Learning of Mean First Passage Time Scape: Chemical Short-Range Order and Kinetics of Diffusive Relaxation

Hoje Chun, Hao Tang, Bin Xing +2

Processes slow compared to atomic vibrations pose significant challenges in atomistic simulations, particularly for phenomena such as diffusive relaxations and phase transitions, w…

physics.chem-ph2024

Symmetry-Constrained Generation of Diverse Low-Bandgap Molecules with Monte Carlo Tree Search

Akshay Subramanian, James Damewood, Juno Nam +3

Organic optoelectronic materials are a promising avenue for next-generation electronic devices due to their solution processability, mechanical flexibility, and tunable electronic…

cs.LG2024

Enhanced sampling of robust molecular datasets with uncertainty-based collective variables

Aik Rui Tan, Johannes C. B. Dietschreit, Rafael Gomez-Bombarelli

Generating a data set that is representative of the accessible configuration space of a molecular system is crucial for the robustness of machine learned interatomic potentials (ML…

physics.chem-ph2024

Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation

Soojung Yang, Juno Nam, Johannes C. B. Dietschreit +1

In molecular dynamics simulations, rare events, such as protein folding, are typically studied using enhanced sampling techniques, most of which are based on the definition of a co…