دورية أكاديمية

Machine learning-accelerated design and synthesis of polyelemental heterostructures.

التفاصيل البيبلوغرافية
العنوان: Machine learning-accelerated design and synthesis of polyelemental heterostructures.
المؤلفون: Wahl, Carolin B.1,2, Aykol, Muratahan3, Swisher, Jordan H.2,4, Montoya, Joseph H.3, Suram, Santosh K.3, Mirkin, Chad A.1,2,4 chadnano@northwestern.edu
المصدر: Science Advances. 12/24/2021, Vol. 7 Issue 52, p1-9. 9p.
مصطلحات موضوعية: *MACHINE design, *HETEROSTRUCTURES, *SILICON nitride, *PHYSICAL sciences
مستخلص: The article presents a study that explores the machine learning–accelerated design and synthesis of polyelemental heterostructures. It mentions about the machine learning–driven, closed-loop experimental process to guide the synthesis of polyelemental nanomaterials with targeted structural properties.
قاعدة البيانات: Academic Search Index
الوصف
تدمد:23752548
DOI:10.1126/sciadv.abj5505