T Rogge, N Kaplaneris, N Chatani, J Kim… - Nature Reviews …, 2021 - nature.com
Transition metal-catalysed C–H activation has emerged as an increasingly powerful platform for molecular syntheses, enabling applications to natural product syntheses, late-stage …
A Mahmood, JL Wang - Energy & environmental science, 2021 - pubs.rsc.org
Machine learning (ML) is a field of computer science that uses algorithms and techniques for automating solutions to complex problems that are hard to program using conventional …
Abstract Machine learning (ML) is becoming a method of choice for modelling complex chemical processes and materials. ML provides a surrogate model trained on a reference …
Owing to their molecular building blocks, yet highly crystalline nature, metal–organic frameworks (MOFs) sit at the interface between molecule and material. Their diverse …
The global spread of COVID-19 has raised the importance of pharmaceutical drug development as intractable and hot research. Developing new drug molecules to overcome …
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which demands advances in materials, devices, and systems of the construction industry …
The recent synergy of machine learning (ML) with molecular synthesis has emerged as an increasingly powerful platform in organic synthesis and catalysis. This merger has set the …
Machine learning (ML) is quickly becoming a premier tool for modeling chemical processes and materials. ML-based force fields, trained on large data sets of high-quality electron …
Abstract Machine learning (ML) methods enable computers to address problems by learning from existing data. Such applications are becoming commonplace in molecular sciences …