Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hermann Tribukait"'
Publikováno v:
CHIMIA, Vol 77, Iss 1/2 (2023)
Accelerating R&D is essential to address some of the challenges humanity is currently facing, such as achieving the global sustainability goals. Today’s Edisonian approach of trial-and-error still prevalent in R&D labs takes up to two decades of fu
Externí odkaz:
https://doaj.org/article/056983cd90f4418cb70b7ae6d19e010c
Optimization strategies based on machine learning (ML), such as Bayesian optimization, show promise across the experimental sciences as a superior alternative to traditional design of experiment. Deploying ML optimization tools in R\&D operations inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::775e77851197586a3629186bfd604a4e
https://doi.org/10.26434/chemrxiv-2022-jt4sm
https://doi.org/10.26434/chemrxiv-2022-jt4sm
Autor:
Alán Aspuru-Guzik, Kristin A. Persson, Christoph J. Brabec, Muratahan Aykol, Semion K. Saikin, Dennis Sheberla, Joseph Montoya, Carlos Ortiz, Christoph Kreisbeck, Hermann Tribukait, Carlos Amador-Bedolla, Benji Maruyama, Daniel P. Tabor, Loïc M. Roch, Shyam Dwaraknath
Publikováno v:
Nature Reviews Materials. 3:5-20
The discovery and development of novel materials in the field of energy are essential to accelerate the transition to a low-carbon economy. Bringing recent technological innovations in automation, robotics and computer science together with current a
Autor:
Carlos Amador-Bedolla, Benjamin Sanchez-Lengeling, Hermann Tribukait, Alán Aspuru-Guzik, Andrés Aguilar-Granda, Martha M. Flores-Leonar, L.M. Mejía-Mendoza
Publikováno v:
Current Opinion in Green and Sustainable Chemistry. 25:100370
Materials Acceleration Platforms are an emerging paradigm to accelerate materials discovery as an effort to develop technology solutions that can help address or mitigate climate change concerns. These platforms combine artificial intelligence, robot