Zobrazeno 1 - 10
of 382
pro vyhledávání: '"Anubhav, Jain"'
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:
Michael Owen-Bellini, James Y. Hartley, Anubhav Jain, Dirk C. Jordan, Laura T. Schelhas, Teresa M. Barnes
Publikováno v:
PRX Energy, Vol 3, Iss 2, p 021001 (2024)
Durable and reliable photovoltaic (PV) modules are critical to enabling an efficient transition to sustainable energy generation. The rate at which new module designs and materials are developed and deployed currently outpaces the rate at which we ca
Externí odkaz:
https://doaj.org/article/6f3d363f835640d18f9801540461ca4a
Autor:
Ryan S. Kingsbury, Andrew S. Rosen, Ayush S. Gupta, Jason M. Munro, Shyue Ping Ong, Anubhav Jain, Shyam Dwaraknath, Matthew K. Horton, Kristin A. Persson
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-11 (2022)
Abstract Computational materials discovery efforts are enabled by large databases of properties derived from high-throughput density functional theory (DFT), which now contain millions of calculations at the generalized gradient approximation (GGA) l
Externí odkaz:
https://doaj.org/article/c100114fdcc549dcae7c5898c4c8fb3f
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-14 (2022)
Measurement(s) optical emissivity • device design Technology Type(s) Fourier transform infrared microscopy • text mining
Externí odkaz:
https://doaj.org/article/2ea76489a9b5465788c8f48ecb9818d4
Autor:
Avirup Guha, Anubhav Jain, Ankita Aggarwal, Amit K. Dey, Sourbha Dani, Sarju Ganatra, Francis E. Marchlinski, Daniel Addison, Michael G. Fradley
Publikováno v:
BMC Cardiovascular Disorders, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background The aim of this study is to assess the burden of AF-related hospitalizations inclusive of inflation-adjusted cost-of-care and length-of-stay (LOS) among cancer patients and the impact of direct current cardioversion (DCCV) on thes
Externí odkaz:
https://doaj.org/article/e753efc0c630434a85c1c7949515530d
Autor:
Kevin Cruse, Amalie Trewartha, Sanghoon Lee, Zheren Wang, Haoyan Huo, Tanjin He, Olga Kononova, Anubhav Jain, Gerbrand Ceder
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-12 (2022)
Measurement(s) gold nanoparticle morphology • gold nanoparticle size • gold nanoparticle synthesis data Technology Type(s) natural language processing
Externí odkaz:
https://doaj.org/article/59c0b83543484675a5a9ef261cd55867
Autor:
Kamal Choudhary, Brian DeCost, Chi Chen, Anubhav Jain, Francesca Tavazza, Ryan Cohn, Cheol Woo Park, Alok Choudhary, Ankit Agrawal, Simon J. L. Billinge, Elizabeth Holm, Shyue Ping Ong, Chris Wolverton
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-26 (2022)
Abstract Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data modalities. DL allows analysis of unstructured data and automat
Externí odkaz:
https://doaj.org/article/959cff4db83443668adcec7142ba32a4
Autor:
Amanda Wang, Ryan Kingsbury, Matthew McDermott, Matthew Horton, Anubhav Jain, Shyue Ping Ong, Shyam Dwaraknath, Kristin A. Persson
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract In this work, we demonstrate a method to quantify uncertainty in corrections to density functional theory (DFT) energies based on empirical results. Such corrections are commonly used to improve the accuracy of computational enthalpies of fo
Externí odkaz:
https://doaj.org/article/01cbcca218d344ddb52db613c074fb03
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Band convergence is a strategy to enhance a material’s thermoelectric performance, as it increases the charge carrier concentration for a given Fermi level. Here, the authors find that the benefit of band convergence can be negated by interband sca
Externí odkaz:
https://doaj.org/article/0d5ab486edf24427832dda65499d97dc
Autor:
Alex M. Ganose, Junsoo Park, Alireza Faghaninia, Rachel Woods-Robinson, Kristin A. Persson, Anubhav Jain
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
It is difficult to compute the transport properties of a broad array of complex materials both accurately and inexpensively. Here, the authors develop a computationally efficient method for calculating carrier scattering rates of semiconductors, with
Externí odkaz:
https://doaj.org/article/b3e227b459b84029a89a7b83e5ac85a0