Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Shusen Liu"'
Autor:
Shusen Liu, Brandon Bocklund, James Diffenderfer, Shreya Chaganti, Bhavya Kailkhura, Scott K. McCall, Brian Gallagher, Aurélien Perron, Joseph T. McKeown
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Predicting phase stability in high entropy alloys (HEAs), such as phase fractions as functions of composition and temperature, is essential for understanding alloy properties and screening desirable materials. Traditional methods like CALPHA
Externí odkaz:
https://doaj.org/article/1f8e4ed3c60146f39a683328fd705a16
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28581- (2024)
Learning and memory disorder is a cluster of symptoms caused by neuronal aging and other diseases of the central nervous system (CNS). Panax notoginseng saponins (PNS) are a series of saponins derived from the natural active ingredients of traditiona
Externí odkaz:
https://doaj.org/article/c342f841e68846a4beec6932b71f06c7
Publikováno v:
The Journal of Engineering, Vol 2022, Iss 10, Pp 994-1005 (2022)
Abstract In recent years, photo‐voltaic (PV) system has become one of the most potential renewable energy power generation technologies because of its many advantages. Considering the influence of the randomness of PV system on the operation and di
Externí odkaz:
https://doaj.org/article/a432a6ee1d11480e9626376d13f55cea
Autor:
Xiaoting Zhong, Brian Gallagher, Shusen Liu, Bhavya Kailkhura, Anna Hiszpanski, T. Yong-Jin Han
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-19 (2022)
Abstract Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine learning models are usually difficult to explain. Remedies to this problem lie in explainable artifi
Externí odkaz:
https://doaj.org/article/599f9fa1c28a451e9cc5dc0278c44c89
Autor:
Matthew L Olson, Shusen Liu, Jayaraman J Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025054 (2024)
Recent advances in machine learning, specifically transformer architecture, have led to significant advancements in commercial domains. These powerful models have demonstrated superior capability to learn complex relationships and often generalize be
Externí odkaz:
https://doaj.org/article/18fe84efb9f2405495678c53ed8890df
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Slopes along the highway and railway routes are subjected to not only static loads but also dynamic loads generated by vehicles and trains. The induced excessive deformation potentially poses a threat to slope stability. In terms of the exte
Externí odkaz:
https://doaj.org/article/2b47756f3faf4e34895e50fdeda8810e
Autor:
Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Xiaoting Zhong, T. Yong-Jin Han
Publikováno v:
ACS Omega, Vol 7, Iss 3, Pp 2624-2637 (2022)
Externí odkaz:
https://doaj.org/article/b3746167135a4ba89a10291ecb901fa8
Autor:
Sikandar Amanullah, Benjamin Agyei Osae, Tiantian Yang, Shenglong Li, Farhat Abbas, Shi Liu, Shusen Liu, Zhengfeng Song, Xuezheng Wang, Peng Gao, Feishi Luan
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Fruit pedicel (FP) is an important determinant of premium fruit quality that directly affects commercial market value. However, in-depth molecular and genetic basis of pedicel-related traits has not been identified in watermelon. Herein, a quantitati
Externí odkaz:
https://doaj.org/article/d24e2ba105344911bf67cfa31cf361d5
Autor:
Xin Du, Hongyu Liu, Zicheng Zhu, Shusen Liu, Zhengfeng Song, Lianqin Xia, Jingchao Zhao, Feishi Luan, Shi Liu
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
The melon fruit surface groove (fsg) not only affects peel structure and causes stress-induced fruit cracking but also fits consumers’ requirements in different regions. In this study, genetic inheritance analysis of three F2 populations derived fr
Externí odkaz:
https://doaj.org/article/bbd9e8eb22834be58d3dd0c5bbc9ad43
Publikováno v:
Nanoscale Research Letters, Vol 12, Iss 1, Pp 1-9 (2017)
Abstract A facile way was developed to fabricate yolk-shell composites with tunable Cu cores encapsulated within hollow carbon spheres (Cu@C) with an average diameter about 210 nm and cavity size about 80 nm. During pyrolysis, the confined nanospace
Externí odkaz:
https://doaj.org/article/35e3edce5b634b91800cb09e5f1d9308