Introducing PROFESS 2.0: A parallelized, fully linear scaling program for orbital-free density functional theory calculations. - Linda Hung; Chen Huang; Ilgyou Shin; Gregory S. Ho; Vincent L. Lignères; Emily A. Carter (Comput. Phys. Commun., 2010)

Introducing PROFESS 3.0: An advanced program for orbital-free density functional theory molecular dynamics simulations. - Mohan Chen 002; Junchao Xia; Chen Huang; Johannes M. Dieterich; Linda Hung; Ilgyou Shin; Emily A. Carter (Comput. Phys. Commun., 2015)

BEEP: A Python library for Battery Evaluation and Early Prediction. - Patrick K. Herring; Chirranjeevi Balaji Gopal; Muratahan Aykol; Joseph H. Montoya; Abraham Anapolsky; Peter M. Attia; William Gent; Jens S. Hummelshøj; Linda Hung; Ha-Kyung Kwon; Patrick Moore; Daniel Schweigert; et al. (SoftwareX, 2020)

Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2. - Gregory H. Teichert; Sambit Das; Mostafa Faghih Shojaei; Jamie Holber; Timothy Mueller; Linda Hung; Vikram Gavini; Krishna C. Garikipati (CoRR, 2023)

The Role of Reference Points in Machine-Learned Atomistic Simulation Models. - Xiangyun Lei; Weike Ye; Joseph H. Montoya; Timothy Mueller; Linda Hung; Jens S. Hummelshoej (CoRR, 2023)

UniMat: Unifying Materials Embeddings through Multi-modal Learning. - Janghoon Ock; Joseph H. Montoya; Daniel Schweigert; Linda Hung; Santosh K. Suram; Weike Ye (CoRR, 2024)

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science. - Jithendaraa Subramanian; Linda Hung; Daniel Schweigert; Santosh K. Suram; Weike Ye (CoRR, 2025)