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An auto-generated thermoelectric-materials database is presented, containing 22,805 data records, automatically generated from the scientific literature, spanning 10,641 unique extracted chemical names. Each record contains a chemical entity and one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::556ef5da06acccb2a1c5f7f3a6291b5f
Funder: Royal Society; doi: https://doi.org/10.13039/501100000288
Accurate forecasting of lithium-ion battery performance is essential for easing consumer concerns about the safety and reliability of electric vehicles. Most research on battery h
Accurate forecasting of lithium-ion battery performance is essential for easing consumer concerns about the safety and reliability of electric vehicles. Most research on battery h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f95bfd5a0f37574eaeb02bff17f70ea
https://www.repository.cam.ac.uk/handle/1810/341117
https://www.repository.cam.ac.uk/handle/1810/341117
Autor:
Beard, Edward J, Cole, Jacqui
The number of scientific publications reporting cutting-edge third-generation photovoltaic devices is increasing rapidly, owing to the pressing need to develop renewable-energy technologies that address the climate-change crisis. Consequently, the fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ebc73254a5daeb4599a04411f19521d
Autor:
Jacqueline M. Cole, Ganesh Sivaraman, Edward J. Beard, Venkatram Vishwanath, Álvaro Vázquez-Mayagoitia
Publikováno v:
Scientific Data, Vol 6, Iss 1, Pp 1-11 (2019)
Scientific Data
Scientific Data
Funder: US Department of Energy, Office of Science, Office of Basic Energy Sciences, DE-AC02-06CH11357
The ability to auto-generate databases of optical properties holds great prospects in data-driven materials discovery for optoelectronic appli
The ability to auto-generate databases of optical properties holds great prospects in data-driven materials discovery for optoelectronic appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7320e34e5d6dc0cf6f117c4aa0ff20c
http://link.springer.com/article/10.1038/s41597-019-0306-0
http://link.springer.com/article/10.1038/s41597-019-0306-0
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Organic synthesis remains a major challenge in drug discovery. Although a plethora of machine learning models have been proposed as solutions in the literature, they suffer from being opaque black-boxes. It is neither clear if the models are making c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cea2999398a51f56c8b1dd8b02152f5
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-6 (2020)
Nature Communications
Nature Communications
Forecasting the state of health and remaining useful life of Li-ion batteries is an unsolved challenge that limits technologies such as consumer electronics and electric vehicles. Here, we build an accurate battery forecasting system by combining ele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::908573f73719a10b49cfd94e062d3ed3