Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Hongliang, Xin"'
Autor:
Zhengyu Zhang, Eitan Hershkovitz, Qi An, Liping Liu, Xiaoqing Wang, Zhifei Deng, Garrett Baucom, Wenbo Wang, Jing Zhao, Ziming Xin, Lowell Moore, Yi Yao, Md Rezwan Ul Islam, Xin Chen, Bai Cui, Ling Li, Hongliang Xin, Lin Li, Honggyu Kim, Wenjun Cai
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The ability to lubricate and resist wear at temperatures above 600 °C in an oxidative environment remains a significant challenge for metals due to their high-temperature softening, oxidation, and rapid degradation of traditional solid lubr
Externí odkaz:
https://doaj.org/article/3bcb7bcb1c08492eaba8743f883f6478
Autor:
Shaohua Xie, Liping Liu, Yuejin Li, Kailong Ye, Daekun Kim, Xing Zhang, Hongliang Xin, Lu Ma, Steven N. Ehrlich, Fudong Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Internal combustion engine fueled by carbon-free hydrogen (H2-ICE) offers a promising alternative for sustainable transportation. Herein, we report a facile and universal strategy through the physical mixing of Pt catalyst with zeolites to s
Externí odkaz:
https://doaj.org/article/88a28eeabd824425ae5b796015b61bbf
Autor:
Noushin Omidvar, Shih‐Han Wang, Yang Huang, Hemanth Somarajan Pillai, Andy Athawale, Siwen Wang, Luke E. K. Achenie, Hongliang Xin
Publikováno v:
Electrochemical Science Advances, Vol 4, Iss 6, Pp n/a-n/a (2024)
Abstract As a subfield of artificial intelligence (AI), machine learning (ML) has emerged as a versatile tool in accelerating catalytic materials discovery because of its ability to find complex patterns in high‐dimensional data. While the intricac
Externí odkaz:
https://doaj.org/article/5450aff013d644cb9a304765c438fcfd
Autor:
Jingjia Liang, Wentao Shao, Pu Ni, Qian Liu, Weirui Kong, Weiyi Shen, Qihan Wang, Anhua Huang, Guixin Zhang, Yulong Yang, Hongliang Xin, Zhaoyan Jiang, Aihua Gu
Publikováno v:
Advanced Science, Vol 11, Iss 40, Pp n/a-n/a (2024)
Abstract Effective inhibition of intestinal lipid uptake is an efficient strategy for the treatment of disorders related to lipid metabolism. Sterol O‐acyltransferase 2 (SOAT2) is responsible for the esterification of free cholesterol and fatty aci
Externí odkaz:
https://doaj.org/article/a9bd405994bf4c83a9638491032fe5ec
Autor:
Kamal Choudhary, Daniel Wines, Kangming Li, Kevin F. Garrity, Vishu Gupta, Aldo H. Romero, Jaron T. Krogel, Kayahan Saritas, Addis Fuhr, Panchapakesan Ganesh, Paul R. C. Kent, Keqiang Yan, Yuchao Lin, Shuiwang Ji, Ben Blaiszik, Patrick Reiser, Pascal Friederich, Ankit Agrawal, Pratyush Tiwary, Eric Beyerle, Peter Minch, Trevor David Rhone, Ichiro Takeuchi, Robert B. Wexler, Arun Mannodi-Kanakkithodi, Elif Ertekin, Avanish Mishra, Nithin Mathew, Mitchell Wood, Andrew Dale Rohskopf, Jason Hattrick-Simpers, Shih-Han Wang, Luke E. K. Achenie, Hongliang Xin, Maureen Williams, Adam J. Biacchi, Francesca Tavazza
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-17 (2024)
Abstract Lack of rigorous reproducibility and validation are significant hurdles for scientific development across many fields. Materials science, in particular, encompasses a variety of experimental and theoretical approaches that require careful be
Externí odkaz:
https://doaj.org/article/dd95e89a6ffb48b6b7fe3dd56910340f
Autor:
Zexing Zhang, Hongliang Xin, Tianqi Jiao, Zhenhai Zhang, Ping He, Zhihui Yang, Jianbo Zhu, Ruina Liu
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34603- (2024)
Currently, heterosis is an effective method for achieving high crop quality and yield worldwide. Owing to the challenges of breeding and the high cost of the F1 generation, the F2 generation is considered the more desirable hybrid offspring for agric
Externí odkaz:
https://doaj.org/article/2b3881e2bcd243b6a88ec7b508f19f03
Autor:
Xiaoqian Wang, Yang Huang, Xiaoyu Xie, Yan Liu, Ziyu Huo, Maverick Lin, Hongliang Xin, Rong Tong
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Stereoselective ring-opening polymerization catalysts are used to produce degradable stereoregular poly(lactic acids) with thermal and mechanical properties that are superior to those of atactic polymers. However, the process of discovering
Externí odkaz:
https://doaj.org/article/b3b5f478c98a4393a998868bad125458
Autor:
Hemanth Somarajan Pillai, Yi Li, Shih-Han Wang, Noushin Omidvar, Qingmin Mu, Luke E. K. Achenie, Frank Abild-Pedersen, Juan Yang, Gang Wu, Hongliang Xin
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Electrochemical conversion of ammonia to nitrogen has important energy and environmental applications but is hindered by lack of efficient electrocatalysts. Here the authors use quantum chemistry and machine learning to gain insights into the reactio
Externí odkaz:
https://doaj.org/article/b0f201618eb24203b173e4d22f1a242d
Publikováno v:
Journal of Nanobiotechnology, Vol 20, Iss 1, Pp 1-31 (2022)
Abstract From the global perspective, stroke refers to a highly common cause of disability and death. Ischemic stroke (IS), attributed to blood vessel blockage, preventing the flow of blood to brain, acts as the most common form of stroke. Thus far,
Externí odkaz:
https://doaj.org/article/abb83cc270544630be8a8e709f6926bb
Autor:
Qiang Gao, Hemanth Somarajan Pillai, Yang Huang, Shikai Liu, Qingmin Mu, Xue Han, Zihao Yan, Hua Zhou, Qian He, Hongliang Xin, Huiyuan Zhu
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Machine learning is a powerful tool for screening electrocatalytic materials. Here, the authors reported a seamless integration of machine-learned physical insights with the controlled synthesis of structurally ordered intermetallic nanocrystals and
Externí odkaz:
https://doaj.org/article/fd6108570708433b95b0ae4d059aedce