3 citations · 6 across the 2 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2025★ 3 cited
Leveraging neural network interatomic potentials for a foundation model of chemistry
So Yeon Kim, Yang Jeong Park, Ju Li
Large-scale foundation models, including neural network interatomic potentials (NIPs) in computational materials science, have demonstrated significant potential. However, despite…
cs.LG2025
Frankenstein Optimizer: Harnessing the Potential by Revisiting Optimization Tricks
Chia-Wei Hsu, Nien-Ti Tsou, Yu-Cheng Chen +2
Gradient-based optimization drives the unprecedented performance of modern deep neural network models across diverse applications. Adaptive algorithms have accelerated neural netwo…
cs.CL2025★ 3 cited
Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials Knowledge
Yang Jeong Park, Mayank Kumaran, Chia-Wei Hsu +2
Artificial intelligence (AI) is increasingly used for the inverse design of materials, such as crystals and molecules. Existing AI research on molecules has integrated chemical str…