Systematic improvement of neural network quantum states using Lanczos. - Hongwei Chen; Douglas Hendry; Phillip Weinberg; Adrian E. Feiguin (NeurIPS, 2022)

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. - Hongwei Chen; Sathya R. Chitturi; Rajan Plumley; Lingjia Shen; Nathan C. Drucker; Nicolas Burdet; Cheng Peng 012; Sougata Mardanya; Daniel Ratner; Aashwin Mishra; Chun Hong Yoon; Sanghoon Song; et al. (XLOOP@SC, 2022)

Capturing dynamical correlations using implicit neural representations. - Sathya R. Chitturi; Zhurun Ji; Alexander Petsch; Cheng Peng 012; Zhantao Chen; Rajan Plumley; Mike Dunne; Sougata Mardanya; Sugata Chowdhury; Hongwei Chen; Arun Bansil; Adrian E. Feiguin; et al. (CoRR, 2023)

Tensor Computations - Part I. - Adrian E. Feiguin; Stefanos Kourtis (Comput. Sci. Eng., 2023)

A high-performance implementation of atomistic spin dynamics simulations on x86 CPUs. - Hongwei Chen; Yujia Zhai; Joshua J. Turner; Adrian E. Feiguin (Comput. Phys. Commun., 2023)

Kernel fusion in atomistic spin dynamics simulations on Nvidia GPUs using tensor core. - Hongwei Chen; Shiyang Chen 004; Joshua J. Turner; Adrian E. Feiguin (J. Comput. Sci., 2024)