EXPERT-IN-THE-LOOP AI FOR MATERIALS GENERATION

Candidate material for polymerization can be received. One or more desired features in the candidate material can be identified. A machine learning model can be trained to generate a new material having one or more of the desired features. Permissively, the candidate material can be determined from...

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Bibliographische Detailangaben
Hauptverfasser:	Narayan, Chandrasekhar, Gruhl, Daniel, Kato, Linda Ha, Gentile, Anna Lisa, Zubarev, Dmitry, Park, Nathaniel H, Hedrick, James L, Alba, Alfredo, DeLuca, Chad Eric, Welch, Steven R, Ristoski, Petar, Sanders, Daniel Paul
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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Beschreibung
Zusammenfassung:	Candidate material for polymerization can be received. One or more desired features in the candidate material can be identified. A machine learning model can be trained to generate a new material having one or more of the desired features. Permissively, the candidate material can be determined from running a machine learning classification model that ranks a plurality of material as candidates. Permissively, the generated new material can be input to the machine learning classification model, for the machine learning classification model to include in ranking the plurality of material as candidates.