activity
20242026
collaborators

14 papers

cond-mat.mtrl-sci2026

Uncertainty-quantified -integral computation for quasicontinuum and finite element methods

Sai Harshith Badi, Stephen M. Whalen, Ronald E. Miller +1

The -integral is a fundamental concept in fracture mechanics, quantifying the energy release rate that drives crack propagation. While extensively implemented in finite element…

cond-mat.mtrl-sci2026

Local Order Average-Atom Interatomic Potentials

Chloe A. Zeller, Ronald E. Miller, Ellad B. Tadmor

This article describes an extension to the effective Average-Atom (AA) method for random alloys to account for local ordering (short-range order) effects by utilizing information f…

cond-mat.mtrl-sci2026

Comparative study of ensemble-based uncertainty quantification methods for neural network interatomic potentials

Yonatan Kurniawan, Mingjian Wen, Ellad B. Tadmor +1

Machine learning interatomic potentials (MLIPs) enable atomistic simulations with near first-principles accuracy at substantially reduced computational cost, making them powerful t…

cond-mat.mtrl-sci2026

Inverse design of bespoke interatomic potentials via active learning by information-matching

Yonatan Kurniawan, Logan D. Williams, Amit Samanta +6

Interatomic potentials (IPs) enable large-scale atomistic simulations beyond the reach of first-principles methods, but their predictive reliability depends critically on the selec…

cs.LG2026

MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching

Cheng Zeng, Harry W. Sullivan, Thomas Egg +8

Molecular crystal structure prediction represents a grand challenge in computational chemistry due to large sizes of constituent molecules and complex intra- and intermolecular int…

cond-mat.stat-mech2026

Statistical mechanics of a 2D material in a gas reservoir

Moon-ki Choi, Ellad B Tadmor

We derive and validate a partition function for low-dimensional systems interacting with a heat bath, addressing the general issue of thermodynamic modeling of nanoscale systems. I…