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Lung-Yi Chen

Showing results (1-10 of 6) with videos related to

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Nature Communications|April 5, 2025
Uncertainty quantification with graph neural networks for efficient molecular designLung-Yi Chen, Yi-Pei Li
Beilstein Journal of Organic Chemistry|October 8, 2024
Machine learning-guided strategies for reaction conditions design and optimizationLung-Yi Chen, Yi-Pei Li
Journal of Cheminformatics|June 27, 2024
AutoTemplate: enhancing chemical reaction datasets for machine learning applications in organic chemistryLung-Yi Chen, Yi-Pei Li
Journal of Cheminformatics|January 24, 2024
Enhancing chemical synthesis: a two-stage deep neural network for predicting feasible reaction conditionsLung-Yi Chen, Yi-Pei Li
The Journal of Physical Chemistry. A|October 11, 2022
Deep Learning-Based Increment Theory for Formation Enthalpy PredictionsLung-Yi Chen, Ting-Wei Hsu, Tsai-Chen Hsiung, et al.
Journal of Chemical Theory and Computation|June 19, 2025
Exploring Chemical Space with Chemistry-Inspired Dynamic Quantum Circuits in the NISQ EraLung-Yi Chen, Tai-Yue Li, Yi-Pei Li, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Nature Communications|April 5, 2025
Uncertainty quantification with graph neural networks for efficient molecular designLung-Yi Chen, Yi-Pei Li
Beilstein Journal of Organic Chemistry|October 8, 2024
Machine learning-guided strategies for reaction conditions design and optimizationLung-Yi Chen, Yi-Pei Li
Journal of Cheminformatics|June 27, 2024
AutoTemplate: enhancing chemical reaction datasets for machine learning applications in organic chemistryLung-Yi Chen, Yi-Pei Li
Journal of Cheminformatics|January 24, 2024
Enhancing chemical synthesis: a two-stage deep neural network for predicting feasible reaction conditionsLung-Yi Chen, Yi-Pei Li
The Journal of Physical Chemistry. A|October 11, 2022
Deep Learning-Based Increment Theory for Formation Enthalpy PredictionsLung-Yi Chen, Ting-Wei Hsu, Tsai-Chen Hsiung, et al.
Journal of Chemical Theory and Computation|June 19, 2025
Exploring Chemical Space with Chemistry-Inspired Dynamic Quantum Circuits in the NISQ EraLung-Yi Chen, Tai-Yue Li, Yi-Pei Li, et al.
Pageof 1