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Wei Cai

4 papers hereh-index 325 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.soft1
  • cs.LG1
  • math.PR1
  • physics.comp-ph1
same name
  • Wei Cai — 10 papers, h 11
  • Wei Cai — 8 papers, h 14
  • Wei Cai — 7 papers
  • Wei Cai — 6 papers
  • Wei Cai — 6 papers, h 2
  • Wei Cai — 5 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

physics.comp-ph2026

Learning Interatomic Force Coefficients from X-ray Thermal Diffuse Scattering Data

Klara Suchan, Shaswat Mohanty, Hanfeng Zhai +1

We present a fully automated framework for extracting interatomic force constants (IFCs) directly from X-ray thermal diffuse scattering (TDS) data. By formulating scattering intens…

cond-mat.soft2026

From Connectivity to Rupture: A Coarse-Grained Stochastic Network Dynamics Approach to Polymer Network Mechanics

Shaswat Mohanty, Wei Cai

We introduce a coarse-grained stochastic network dynamics (CGSND) framework for modeling deformation and rupture in polymer networks. The method replaces explicit molecular dynamic…

math.PR2025

Large Deviations of First Passage Times of Branching Random Walks in Rd: Asymptotics and Algorithms

Jose Blanchet, Wei Cai, Shaswat Mohanty +1

We investigate the large deviation probabilities of first passage times (FPT) of discrete-time supercritical non-lattice branching random walks (BRWs) in Rd where $d\ge…

cs.LG2024

Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Properties

Shaswat Mohanty, Yifan Wang, Wei Cai

Machine-learned force fields (MLFFs) promise to offer a computationally efficient alternative to ab initio simulations for complex molecular systems. However, ensuring their genera…

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