Zobrazeno 1 - 10
of 677
pro vyhledávání: '"Yang Shao-Horn"'
Autor:
Ye Tian, Botao Huang, Yizhi Song, Yirui Zhang, Dong Guan, Jiani Hong, Duanyun Cao, Enge Wang, Limei Xu, Yang Shao-Horn, Ying Jiang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Water structures at electrolyte/electrode interfaces play a crucial role in determining the selectivity and kinetics of electrochemical reactions. Despite extensive experimental and theoretical efforts, atomic-level details of ion-specific w
Externí odkaz:
https://doaj.org/article/99b65a6d952542a58ebef98ff2f222f8
Autor:
Jaclyn R. Lunger, Jessica Karaguesian, Hoje Chun, Jiayu Peng, Yitong Tseo, Chung Hsuan Shan, Byungchan Han, Yang Shao-Horn, Rafael Gómez-Bombarelli
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Green hydrogen production is crucial for a sustainable future, but current catalysts for the oxygen evolution reaction (OER) suffer from slow kinetics, despite many efforts to produce optimal designs, particularly through the calculation of
Externí odkaz:
https://doaj.org/article/bbb80697d9ad4e3c9f9500aaf1f16eaa
A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles
Autor:
Ruixue Liu, Guannan He, Xizhe Wang, Dharik Mallapragada, Hongbo Zhao, Yang Shao-Horn, Benben Jiang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Flexibility has become increasingly important considering the intermittency of variable renewable energy in low-carbon energy systems. Electrified transportation exhibits great potential to provide flexibility. This article analyzed and comp
Externí odkaz:
https://doaj.org/article/b8bb2b6a411c4c729c9a3e2df8fd3710
Autor:
Tian Xie, Ha-Kyung Kwon, Daniel Schweigert, Sheng Gong, Arthur France-Lanord, Arash Khajeh, Emily Crabb, Michael Puzon, Chris Fajardo, Will Powelson, Yang Shao-Horn, Jeffrey C. Grossman
Publikováno v:
APL Machine Learning, Vol 1, Iss 4, Pp 046108-046108-11 (2023)
Open material databases storing thousands of material structures and their properties have become the cornerstone of modern computational materials science. Yet, the raw simulation outputs are generally not shared due to their huge size. In this work
Externí odkaz:
https://doaj.org/article/b0a97d76441643e291d62c05cea5e568
Autor:
Steven B. Torrisi, Martin Z. Bazant, Alexander E. Cohen, Min Gee Cho, Jens S. Hummelshøj, Linda Hung, Gaurav Kamat, Arash Khajeh, Adeesh Kolluru, Xiangyun Lei, Handong Ling, Joseph H. Montoya, Tim Mueller, Aini Palizhati, Benjamin A. Paren, Brandon Phan, Jacob Pietryga, Elodie Sandraz, Daniel Schweigert, Yang Shao-Horn, Amalie Trewartha, Ruijie Zhu, Debbie Zhuang, Shijing Sun
Publikováno v:
APL Machine Learning, Vol 1, Iss 2, Pp 020901-020901-11 (2023)
Machine learning (ML) is gaining popularity as a tool for materials scientists to accelerate computation, automate data analysis, and predict materials properties. The representation of input material features is critical to the accuracy, interpretab
Externí odkaz:
https://doaj.org/article/365358503b2c467dbae43bc88f59b30b
Autor:
Tian Xie, Arthur France-Lanord, Yanming Wang, Jeffrey Lopez, Michael A. Stolberg, Megan Hill, Graham Michael Leverick, Rafael Gomez-Bombarelli, Jeremiah A. Johnson, Yang Shao-Horn, Jeffrey C. Grossman
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Screening polymer electrolytes for batteries is extremely expensive due to the complex structures and slow dynamics. Here the authors develop a machine learning scheme to accelerate the screening and explore a space much larger than past studies.
Externí odkaz:
https://doaj.org/article/f99d54a98906432aa7c6604e0175d0dc
Autor:
Sheng Gong, Shuo Wang, Taishan Zhu, Xi Chen, Zhenze Yang, Markus J. Buehler, Yang Shao-Horn, Jeffrey C. Grossman
Publikováno v:
JACS Au, Vol 1, Iss 11, Pp 1904-1914 (2021)
Externí odkaz:
https://doaj.org/article/c6d0bb408c5a4ae29018a99ee76ac09b
Autor:
Botao Huang, Reshma R. Rao, Sifan You, Kyaw Hpone Myint, Yizhi Song, Yanming Wang, Wendu Ding, Livia Giordano, Yirui Zhang, Tao Wang, Sokseiha Muy, Yu Katayama, Jeffrey C. Grossman, Adam P. Willard, Kang Xu, Ying Jiang, Yang Shao-Horn
Publikováno v:
JACS Au, Vol 1, Iss 10, Pp 1674-1687 (2021)
Externí odkaz:
https://doaj.org/article/063bee6690444573b04da41720a24981
Autor:
Bo Qiao, Somesh Mohapatra, Jeffrey Lopez, Graham M. Leverick, Ryoichi Tatara, Yoshiki Shibuya, Yivan Jiang, Arthur France-Lanord, Jeffrey C. Grossman, Rafael Gómez-Bombarelli, Jeremiah A. Johnson, Yang Shao-Horn
Publikováno v:
ACS Central Science, Vol 6, Iss 7, Pp 1115-1128 (2020)
Externí odkaz:
https://doaj.org/article/4d399030a1394379a1cf636b6fc602b1
Autor:
Xiyang Cai, Cehuang Fu, Haldrian Iriawan, Fan Yang, Aiming Wu, Liuxuan Luo, Shuiyun Shen, Guanghua Wei, Yang Shao-Horn, Junliang Zhang
Publikováno v:
iScience, Vol 24, Iss 10, Pp 103105- (2021)
Summary: Green synthesis of ammonia by electrochemical nitrogen reduction reaction (NRR) shows great potential as an alternative to the Haber-Bosch process but is hampered by sluggish production rate and low Faradaic efficiency. Recently, lithium-med
Externí odkaz:
https://doaj.org/article/5cb5758792264015b765e4c14c22dc51