Zobrazeno 1 - 10
of 21
pro vyhledávání: '"John Dagdelen"'
Autor:
John Dagdelen, Alexander Dunn, Sanghoon Lee, Nicholas Walker, Andrew S. Rosen, Gerbrand Ceder, Kristin A. Persson, Anubhav Jain
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Extracting structured knowledge from scientific text remains a challenging task for machine learning models. Here, we present a simple approach to joint named entity recognition and relation extraction and demonstrate how pretrained large la
Externí odkaz:
https://doaj.org/article/e142a6e499644255824966cf6a0c02ee
Autor:
John Dagdelen, Amalie Trewartha, Haoyan Huo, Yuxing Fei, Tanjin He, Kevin Cruse, Zheren Wang, Akshay Subramanian, Benjamin Justus, Gerbrand Ceder, Kristin A. Persson
Publikováno v:
PLoS ONE, Vol 18, Iss 2 (2023)
The ongoing COVID-19 pandemic produced far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community’s COVID-19 response lead to the emergence of new research at the remarkable rate
Externí odkaz:
https://doaj.org/article/8a41f2b83fb8449e8a454601b87a9714
Autor:
Addy Moran, Shawn Hampton, Scott Dowson, John Dagdelen, Amalie Trewartha, Gerbrand Ceder, Kristin Persson, Elise Saxon, Andrew Barker, Lauren Charles, Bobbie-Jo Webb-Robertson
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 7, p e26995 (2021)
BackgroundPapers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fashi
Externí odkaz:
https://doaj.org/article/be17638a83804c0394ffb58939cc9d82
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-8 (2017)
There are very few inorganic materials with auxetic homogenous Poisson’s ratio in polycrystalline form. Here authors develop an approach to screening materials databases for target properties such as negative Poisson’s ratio by using stability an
Externí odkaz:
https://doaj.org/article/82292ab548c844e7be40fa476910b250
Autor:
John Dagdelen, Alex Dunn
Publikováno v:
Accelerated Materials Discovery ISBN: 9783110738087
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1964365dbbb9c53d7d648a5595cb925b
https://doi.org/10.1515/9783110738087-005
https://doi.org/10.1515/9783110738087-005
Autor:
Gerard S. Mattei, Peter G. Khalifah, Christian Masquelier, Emmanuelle Suard, Anubhav Jain, Laurence Croguennec, John Dagdelen, Matteo Bianchini, Alex M. Ganose, Kristin A. Persson, François Fauth, Gerbrand Ceder
Publikováno v:
Chemistry of Materials
Chemistry of Materials, American Chemical Society, 2020, 32 (20), pp.8981-8992. ⟨10.1021/acs.chemmater.0c03190⟩
Chemistry of Materials, 2020, 32 (20), pp.8981-8992. ⟨10.1021/acs.chemmater.0c03190⟩
Chemistry of Materials, vol 32, iss 20
Chemistry of Materials, American Chemical Society, 2020, 32 (20), pp.8981-8992. ⟨10.1021/acs.chemmater.0c03190⟩
Chemistry of Materials, 2020, 32 (20), pp.8981-8992. ⟨10.1021/acs.chemmater.0c03190⟩
Chemistry of Materials, vol 32, iss 20
International audience; While powder diffraction methods are routinely utilized to optimize structural models for compounds whose crystal structures are known, the determination of unknown structures is far more challenging. When the unknown structur
Autor:
Amalie Trewartha, Nicholas Walker, Haoyan Huo, Sanghoon Lee, Kevin Cruse, John Dagdelen, Alexander Dunn, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain
Publikováno v:
Patterns (New York, N.Y.), vol 3, iss 4
A bottleneck in efficiently connecting new materials discoveries to established literature has arisen due to an increase in publications. This problem may be addressed by using named entity recognition (NER) to extract structured summary-level data f
Autor:
Scott Dowson, Amalie Trewartha, Elise Saxon, Gerbrand Ceder, Lauren E. Charles, Addy Moran, Andrew T. Barker, John Dagdelen, Kristin A. Persson, Bobbie-Jo M. Webb-Robertson, Shawn Hampton
Publikováno v:
Journal of medical Internet research, vol 23, iss 7
Journal of Medical Internet Research
Journal of Medical Internet Research
Background Papers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fash
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b0f4dc5a208ed55e9272b37cd2b6ef2
https://escholarship.org/uc/item/08m6m5wz
https://escholarship.org/uc/item/08m6m5wz
Autor:
Addy Moran, Shawn Hampton, Scott Dowson, John Dagdelen, Amalie Trewartha, Gerbrand Ceder, Kristin Persson, Elise Saxon, Andrew Barker, Lauren Charles, Bobbie-Jo Webb-Robertson
BACKGROUND Papers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fash
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb42834db47b0e05fcb6b4424c199bbf
https://doi.org/10.2196/preprints.26995
https://doi.org/10.2196/preprints.26995
Autor:
Nicholas Walker, Amalie Trewartha, Haoyan Huo, Sanghoon Lee, Kevin Cruse, John Dagdelen, Alexander Dunn, Kristin Persson, Gerbrand Ceder, Anubhav Jain
Publikováno v:
SSRN Electronic Journal.