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Showing results (531-540 of 690) with videos related to

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Science Advances|December 10, 2020
High-throughput search for magnetic and topological order in transition metal oxidesNathan C Frey, Matthew K Horton, Jason M Munro, et al.
Nature Communications|February 15, 2024
Structured information extraction from scientific text with large language modelsJohn Dagdelen, Alexander Dunn, Sanghoon Lee, et al.
Public Health Nutrition|February 24, 2009
Household food security is associated with growth of infants and young children in rural BangladeshKuntal K Saha, Edward A Frongillo, Dewan S Alam, et al.
Food and Nutrition Bulletin|August 20, 2009
Use of the new World Health Organization child growth standards to describe longitudinal growth of breastfed rural Bangladeshi infants and young childrenKuntal K Saha, Edward A Frongillo, Dewan S Alam, et al.
Journal of the American Chemical Society|August 11, 2021
Data-Driven Prediction of Formation Mechanisms of Lithium Ethylene Monocarbonate with an Automated Reaction NetworkXiaowei Xie, Evan Walter Clark Spotte-Smith, Mingjian Wen, et al.
Nature Communications|November 4, 2018
Alleviating oxygen evolution from Li-excess oxide materials through theory-guided surface protectionYongwoo Shin, Wang Hay Kan, Muratahan Aykol, et al.
Chemical Communications (Cambridge, England)|July 1, 2017
Fast Mg<sup>2+</sup> diffusion in Mo<sub>3</sub>(PO<sub>4</sub>)<sub>3</sub>O for Mg batteriesZiqin Rong, Penghao Xiao, Miao Liu, et al.
The Journal of Physical Chemistry Letters|January 11, 2018
Electrostatic Estimation of Intercalant Jump-Diffusion Barriers Using Finite-Size Ion ModelsNils E R Zimmermann, Daniel C Hannah, Ziqin Rong, et al.
Chemical Science|February 26, 2024
<i>CoeffNet</i>: predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural networkSudarshan Vijay, Maxwell C Venetos, Evan Walter Clark Spotte-Smith, et al.
Scientific Reports|July 30, 2021
A framework for quantifying uncertainty in DFT energy correctionsAmanda Wang, Ryan Kingsbury, Matthew McDermott, et al.
Pageof 69

Showing results (531-540 of 690) with videos related to

Sort By:
Pageof 69
Science Advances|December 10, 2020
High-throughput search for magnetic and topological order in transition metal oxidesNathan C Frey, Matthew K Horton, Jason M Munro, et al.
Nature Communications|February 15, 2024
Structured information extraction from scientific text with large language modelsJohn Dagdelen, Alexander Dunn, Sanghoon Lee, et al.
Public Health Nutrition|February 24, 2009
Household food security is associated with growth of infants and young children in rural BangladeshKuntal K Saha, Edward A Frongillo, Dewan S Alam, et al.
Food and Nutrition Bulletin|August 20, 2009
Use of the new World Health Organization child growth standards to describe longitudinal growth of breastfed rural Bangladeshi infants and young childrenKuntal K Saha, Edward A Frongillo, Dewan S Alam, et al.
Journal of the American Chemical Society|August 11, 2021
Data-Driven Prediction of Formation Mechanisms of Lithium Ethylene Monocarbonate with an Automated Reaction NetworkXiaowei Xie, Evan Walter Clark Spotte-Smith, Mingjian Wen, et al.
Nature Communications|November 4, 2018
Alleviating oxygen evolution from Li-excess oxide materials through theory-guided surface protectionYongwoo Shin, Wang Hay Kan, Muratahan Aykol, et al.
Chemical Communications (Cambridge, England)|July 1, 2017
Fast Mg<sup>2+</sup> diffusion in Mo<sub>3</sub>(PO<sub>4</sub>)<sub>3</sub>O for Mg batteriesZiqin Rong, Penghao Xiao, Miao Liu, et al.
The Journal of Physical Chemistry Letters|January 11, 2018
Electrostatic Estimation of Intercalant Jump-Diffusion Barriers Using Finite-Size Ion ModelsNils E R Zimmermann, Daniel C Hannah, Ziqin Rong, et al.
Chemical Science|February 26, 2024
<i>CoeffNet</i>: predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural networkSudarshan Vijay, Maxwell C Venetos, Evan Walter Clark Spotte-Smith, et al.
Scientific Reports|July 30, 2021
A framework for quantifying uncertainty in DFT energy correctionsAmanda Wang, Ryan Kingsbury, Matthew McDermott, et al.
Pageof 69