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Bella. CH Yang
Bella. CH Yang
Other namesChih-Hsuan Yang, Bella Yang
Verified email at iastate.edu - Homepage
Title
Cited by
Cited by
Year
Fast inverse design of microstructures via generative invariance networks
XY Lee, JR Waite, CH Yang, BSS Pokuri, A Joshi, A Balu, C Hegde, ...
Nature Computational Science 1 (3), 229-238, 2021
452021
Multi-fidelity machine learning models for structure–property mapping of organic electronics
CH Yang, BSS Pokuri, XY Lee, S Balakrishnan, C Hegde, S Sarkar, ...
Computational Materials Science 213, 111599, 2022
92022
Neural PDE solvers for irregular domains
B Khara, E Herron, A Balu, D Gamdha, CH Yang, K Saurabh, A Jignasu, ...
Computer-Aided Design 172, 103709, 2024
62024
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
CH Yang, B Feuer, Z Jubery, ZK Deng, A Nakkab, MZ Hasan, ...
arXiv preprint arXiv:2406.17720, 2024
32024
In the Mix: A Workshop Merging Computational Chemistry and Electrochemistry Alongside Data Science
R Duke, A Sweet, NC Stumme, R Ordikhani-Seyedlar, S Chattopadhyay, ...
Journal of chemical education 101 (11), 5060-5067, 2024
12024
Google Trends as an Early Indicator of African Swine Fever Outbreaks in Southeast Asia
AMP Chia-Hui Hsu, Chih-Hsuan Yang
Frontiers in Veterinary Science, 2024
12024
MolGen-Transformer: A molecule language model for the generation and latent space exploration of pi-conjugated molecules
CH Yang, R Duke, P Sornberger, M Ogbaje, C Risko, ...
2025
Evaluating molecular similarity measures: Do similarity measures reflect electronic structure properties?
R Duke, CH Yang, B Ganapathysubramanian, C Risko
2025
Deep Reinforcement Learning Exploration in Continuous Latent Space for Molecular Design
HJ Yang, CH Yang, P Sornberger, R Duke, C Risko, ...
2023
Physics informed neural networks for extracting phenomenological models from molecular dynamics simulations.
CH Yang, B Pokuri, S Li, M Bazant, C Risko, B Ganapathysubramanian
National Congress on Computational Mechanics, 2021
2021
MolGen-Transformer: An open-source self-supervised model for Molecular Generation and Latent Space Exploration
CH Yang, R Duke, PD Sornberger, M Ogbaje, C Risko, ...
AI for Accelerated Materials Design-NeurIPS 2024, 0
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