Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Ilya Grinberg"'
Autor:
Evan Askanazi, Ilya Grinberg
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025030 (2024)
Despite successful use in a wide variety of disciplines for data analysis and prediction, machine learning (ML) methods suffer from a lack of understanding of the reliability of predictions due to the lack of transparency and black-box nature of ML m
Externí odkaz:
https://doaj.org/article/e845039d637e490eac07599277f59513
Autor:
Rajashree Konar, Bharathi Rajeswaran, Atanu Paul, Eti Teblum, Hagit Aviv, Ilana Perelshtein, Ilya Grinberg, Yaakov Raphael Tischler, Gilbert Daniel Nessim
Publikováno v:
ACS Omega, Vol 7, Iss 5, Pp 4121-4134 (2022)
Externí odkaz:
https://doaj.org/article/678aa1e9364c444e911f81e73439bd02
Autor:
Ignacio Borge-Durán, Ilya Grinberg, José Roberto Vega-Baudrit, Minh Tri Nguyen, Marta Pereira-Pinheiro, Karsten Thiel, Paul-Ludwig Michael Noeske, Klaus Rischka, Yendry Regina Corrales-Ureña
Publikováno v:
Polymers, Vol 14, Iss 11, p 2150 (2022)
When producing stable electrodes, polymeric binders are highly functional materials that are effective in dispersing lithium-based oxides such as Li4Ti5O12 (LTO) and carbon-based materials and establishing the conductivity of the multiphase composite
Externí odkaz:
https://doaj.org/article/7fbb87aac766484d8f1289db3fe9af42
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-7 (2016)
Spontaneous polarization in ferroelectric materials leads to their use as photovoltaic devices. Here, the authors show by first-principles calculations how nanolayering of PbTiO3with nickel ions and oxygen vacancies can result in enhanced photocurren
Externí odkaz:
https://doaj.org/article/39896bafb26248fc879f26c207790fe7
Publikováno v:
International Journal of Hydrogen Energy. 47:31342-31349
Autor:
Joshua Joseph, Ilya Grinberg
Publikováno v:
2023 IEEE Rural Electric Power Conference (REPC).
Autor:
Yang Bai, Ilya Grinberg
Publikováno v:
Ferroelectrics ISBN: 9780750339759
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8c1b54a472008fe6119b4772d43dd31
https://doi.org/10.1088/978-0-7503-3975-9ch1
https://doi.org/10.1088/978-0-7503-3975-9ch1
Autor:
Ilya Grinberg
Publikováno v:
Ferroelectrics ISBN: 9780750339759
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50c59152654101918a58207982b84e55
https://doi.org/10.1088/978-0-7503-3975-9ch2
https://doi.org/10.1088/978-0-7503-3975-9ch2
Autor:
Nagaprasad Reddy Samala, Ilya Grinberg
Publikováno v:
ChemSusChem. 15
Progress in the application of machine learning (ML) methods to materials design is hindered by the lack of understanding of the reliability of ML predictions, in particular for the application of ML to small data sets often found in materials scienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99762a5a013aae56048aee86f88157f1
https://doi.org/10.21203/rs.3.rs-1843605/v1
https://doi.org/10.21203/rs.3.rs-1843605/v1