Edge Direction-invariant Graph Neural Networks for Molecular Dipole Moments Prediction. - Yang Jeong Park (CoRR, 2022)

Can ChatGPT be used to generate scientific hypotheses? - Yang Jeong Park; Daniel Kaplan; Zhichu Ren; Chia-Wei Hsu; Changhao Li; Haowei Xu; Sipei Li; Ju Li 003 (CoRR, 2023)

1.5 million materials narratives generated by chatbots. - Yang Jeong Park; Sung Eun Jerng; Jin-Sung Park; Choah Kwon; Chia-Wei Hsu; Zhichu Ren; Sungroh Yoon; Ju Li (CoRR, 2023)

Deep contrastive learning of molecular conformation for efficient property prediction. - Yang Jeong Park; Hyungi Kim; Jeonghee Jo; Sungroh Yoon (Nat. Comput. Sci., 2023)

Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials Knowledge. - Yang Jeong Park; Mayank Kumaran; Chia-Wei Hsu; Elsa Olivetti; Ju Li (CoRR, 2025)

Frankenstein Optimizer: Harnessing the Potential by Revisiting Optimization Tricks. - Chia-Wei Hsu; Nien-Ti Tsou; Yu-Cheng Chen; Yang Jeong Park; Ju Li (CoRR, 2025)

Leveraging neural network interatomic potentials for a foundation model of chemistry. - So Yeon Kim; Yang Jeong Park; Ju Li (CoRR, 2025)