Autonomous and dynamic precursor selection for solid-state materials synthesis
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DOI: 10.1038/s41467-023-42329-9
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- A. Gilad Kusne & Heshan Yu & Changming Wu & Huairuo Zhang & Jason Hattrick-Simpers & Brian DeCost & Suchismita Sarker & Corey Oses & Cormac Toher & Stefano Curtarolo & Albert V. Davydov & Ritesh Agarw, 2020. "On-the-fly closed-loop materials discovery via Bayesian active learning," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
- Christopher J. Bartel & Samantha L. Millican & Ann M. Deml & John R. Rumptz & William Tumas & Alan W. Weimer & Stephan Lany & Vladan Stevanović & Charles B. Musgrave & Aaron M. Holder, 2018. "Physical descriptor for the Gibbs energy of inorganic crystalline solids and temperature-dependent materials chemistry," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
- Benjamin J. Shields & Jason Stevens & Jun Li & Marvin Parasram & Farhan Damani & Jesus I. Martinez Alvarado & Jacob M. Janey & Ryan P. Adams & Abigail G. Doyle, 2021. "Bayesian reaction optimization as a tool for chemical synthesis," Nature, Nature, vol. 590(7844), pages 89-96, February.
- Paul Raccuglia & Katherine C. Elbert & Philip D. F. Adler & Casey Falk & Malia B. Wenny & Aurelio Mollo & Matthias Zeller & Sorelle A. Friedler & Joshua Schrier & Alexander J. Norquist, 2016. "Machine-learning-assisted materials discovery using failed experiments," Nature, Nature, vol. 533(7601), pages 73-76, May.
- Marwin H. S. Segler & Mike Preuss & Mark P. Waller, 2018. "Planning chemical syntheses with deep neural networks and symbolic AI," Nature, Nature, vol. 555(7698), pages 604-610, March.
- Matthew J. McDermott & Shyam S. Dwaraknath & Kristin A. Persson, 2021. "A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
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- Bin Ouyang & Yan Zeng, 2024. "The rise of high-entropy battery materials," Nature Communications, Nature, vol. 15(1), pages 1-5, December.
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