Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nil Mill"'
An extensible platform for enabling artificial intelligence guided design of catalysts and materials
Autor:
Nathaniel Park, Matteo Manica, Jannis Born, James Hedrick, Tim Erdmann, Dmitry Zubarev, Nil Mill, Pedro Arrechea
Advances in artificial intelligence (AI), machine learning (ML), and automated experimentation are poised to vastly accelerate and reshape polymer science research. The difficulties of experimental data and polymer structure representation form a sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd870a67ae4881df40ee68cf781af7e2
https://doi.org/10.26434/chemrxiv-2022-811rl-v2
https://doi.org/10.26434/chemrxiv-2022-811rl-v2
Autor:
Nathaniel Park, Matteo Manica, Jannis Born, Dmitry Zubarev, Nil Mill, James Hedrick, Pedro Arrechea, Tim Erdmann
The inherent architectural complexity and stochasticity of polymeric materials combined with their myriad application domains present significant challenges for accurate data modeling and representation—hindering development of new artificial intel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::579ac153d51d3994c20ac0dcb25cc0a9
https://doi.org/10.26434/chemrxiv-2022-811rl
https://doi.org/10.26434/chemrxiv-2022-811rl