Academic Journal

Probing the properties of molecules and complex materials using machine learning

التفاصيل البيبلوغرافية
العنوان: Probing the properties of molecules and complex materials using machine learning
المؤلفون: David Winkler
سنة النشر: 2022
المجموعة: La Trobe University (Melbourne): Figshare
مصطلحات موضوعية: Uncategorized, machine learning, biomaterials, nanomaterials, porous materials, 2D materials, artificial intelligence, batteries, Bayesian methods, catalysts, complex systems, computational molecular design, drug design, organic photovoltaic (OPV) devices, quantitative structure-activity relationships (QSAR), regenerative medicine, science
الوصف: No description supplied
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: https://figshare.com/articles/journal_contribution/Probing_the_properties_of_molecules_and_complex_materials_using_machine_learning/21100588
DOI: 10.26181/21100588.v1
الاتاحة: https://doi.org/10.26181/21100588.v1
https://figshare.com/articles/journal_contribution/Probing_the_properties_of_molecules_and_complex_materials_using_machine_learning/21100588
Rights: CC BY-NC-ND 4.0
رقم الانضمام: edsbas.35C78C49
قاعدة البيانات: BASE