Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era
WY Wang, S Zhang, G Li, J Lu, Y Ren… - Materials Genome …, 2024 - Wiley Online Library
Abstract Future‐oriented Science & Technology (S&T) Strategies trigger the innovative
developments of advanced materials, providing an envision to the significant progress of …
developments of advanced materials, providing an envision to the significant progress of …
[HTML][HTML] Machine learning-assisted retrosynthesis planning: current status and future prospects
Y Wei, L Shan, T Qiu, D Lu, Z Liu - Chinese Journal of Chemical …, 2024 - Elsevier
Abstract Machine learning-assisted retrosynthesis planning aims to utilize machine learning
(ML) algorithms to find synthetic pathways for target compounds. In recent years, with the …
(ML) algorithms to find synthetic pathways for target compounds. In recent years, with the …
Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
PQ Velasco, K Hippalgaonkar… - Beilstein Journal of …, 2025 - beilstein-journals.org
The discovery of the optimal conditions for chemical reactions is a labor-intensive, time-
consuming task that requires exploring a high-dimensional parametric space. Historically …
consuming task that requires exploring a high-dimensional parametric space. Historically …
Chat-Microreactor: A Large-Language-Model-Based Assistant for Designing Continuous Flow Systems
Y Pan, Q Xiao, F Zhao, Z Li, J Liu, S Ullah, KH Lim… - 2024 - chemrxiv.org
Continuous flow in microchannels play pivotal roles in advancing automated chemical
synthesis. However, frequent multiphase reactions pose key challenges for designing …
synthesis. However, frequent multiphase reactions pose key challenges for designing …