Artificial intelligence (AI) agents are emerging in scientific research as systems that can transform the accumulated decisions of scientists into traceable workflows. In fact, modern scientific practice depends on continual coordination of knowledge dispersed across literature, data, theory and experiment, which, howe...
Bin Feng, Peter Walther, Lei-Li Zhang et al.· Nature Reviews Methods Prime...· 0 citations
Predictive synthesis concerns the prospective modeling of how a targeted structure can be realized. The synthesis of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) intrinsically involves a multidimensional space of interdependent variables, posing a challenge for bench chemists to parameterize a...
Bin Feng, Reid Coyle, Shyam Chand Pal et al.· 0 citations
Reticular chemistry allows metal-organic frameworks (MOFs) to be designed from their building units, yet their synthesis remains constrained by sparse experimental data, noisy crystallization outcomes, and the absence of benchmarks for comparing active-learning strategies. While data-driven approaches such as Bayesian...
Hong-Rui Sheng, Shu-Tian Liang, Reid Coyle et al.· 0 citations
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