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Program

 
11/8 Fri.
Time Speaker Title
8:30-9:00 Registration
9:00-10:20 Tutorial by Shuan (Yousung) Hands-on tutorial: retrosynthesis prediction by machine learning models
10:20-10:40 Coffee Break
10:40-12:00 Tutorial by Akio Tomiya TBA
12:00-13:30 Lunch
Chair: Cherri
13:30-14:15 Pavlo Dral AI-enhanced computational chemistry via better software, ML, DFT and semi-empirical methods
14:15-14:45 Yi-Pei Li Enhancing Molecular Design Robustness through Uncertainty Quantification
14:45-15:15 Nick Yang Designing Transition Metal Complexes with Generative AI models
15:15-15:35 Coffee Break
Chair: Nick
15:35-16:20 Hongming Chen Application of AI generative model on drug design
16:20-16:50 Haochung Cheng Adaptive Circuit Learning of Born Machine: Towards Realization of Amplitude Embedding and Quantum Data Loading
16:50-17:20 Ying-Jer Kao Hybrid Classical-Quantum Architectures for Quantum Machine Learning
17:30-19:00 Free Discussion & Reception for all registered participants
11/9 Sat.
Time Speaker Title
9:00-10:20 Tutorial by Pavlo Dral  Modern computational chemistry and AI with MLatom
10:20-10:45 Coffee Break
Chair:Pochung
10:45-11:30 Koji Hashimoto  Quantum mechanics as a random neural network
11:30-12:00 Miranda C. N. Cheng Continuous normalizing flows for lattice gauge theories
12:00-13:30 Lunch
Chair: Dimitrios
13:30-14:15 Akio Tomiya  TBA
14:15-14:45 Ming-Chiang Chung Deep Learning of Phase Transitions for Bilinear-Biquadratic Spin-1 Chains from Correlation Aspects
14:45-15:15 Huihsu Tsai Interpretive and Predictive Chemical Machine Learning With Electronic Descriptors for Accelerating Sustainable Solar Cell Development
15:15-15:35 Coffee Break
Chair: Chunwei
15:35-16:20 Yousung Jung Data-Driven Synthesis: Predicting Molecular and Material Pathways
16:20-16:50 Chi-Hua Yu Deep Generative Model for Protein Design
16:50-17:20 Discussion
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