Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Zhao,Xintong"'
HIVE4MAT is a linked data interactive application for navigating ontologies of value to materials science. HIVE enables automatic indexing of textual resources with standardized terminology. This article presents the motivation underlying HIVE4MAT, e
Externí odkaz:
http://arxiv.org/abs/2411.00676
Autor:
Zhao, Xintong, Langlois, Kyle, Furst, Jacob, An, Yuan, Hu, Xiaohua, Gualdron, Diego Gomez, Uribe-Romo, Fernando, Greenberg, Jane
This paper reports on a scientometric analysis bolstered by human in the loop, domain experts, to examine the field of metal organic frameworks (MOFs) research. Scientometric analyses reveal the intellectual landscape of a field. The study engaged MO
Externí odkaz:
http://arxiv.org/abs/2409.10776
Autor:
Zhao, Xintong, Langlois, Kyle, Furst, Jacob, McClellan, Scott, Hu, Xiaohua, An, Yuan, Gómez-Gualdrón, Diego A., Uribe-Romo, Fernando J., Greenberg, Jane
Research methods and procedures are core aspects of the research process. Metadata focused on these components is critical to supporting the FAIR principles, particularly reproducibility. The research reported on in this paper presents a methodologic
Externí odkaz:
http://arxiv.org/abs/2310.12417
Growth in computational materials science and initiatives such as the Materials Genome Initiative (MGI) and the European Materials Modelling Council (EMMC) has motivated the development and application of ontologies. A key factor has been increased a
Externí odkaz:
http://arxiv.org/abs/2310.00078
Autor:
An, Yuan, Greenberg, Jane, Kalinowski, Alex, Zhao, Xintong, Hu, Xiaohua, Uribe-Romo, Fernando J., Langlois, Kyle, Furst, Jacob, Gómez-Gualdrón, Diego A.
We present a comprehensive benchmark dataset for Knowledge Graph Question Answering in Materials Science (KGQA4MAT), with a focus on metal-organic frameworks (MOFs). A knowledge graph for metal-organic frameworks (MOF-KG) has been constructed by inte
Externí odkaz:
http://arxiv.org/abs/2309.11361
Autor:
Greenberg, Jane, McClellan, Scott, Zhao, Xintong, Kellner, Elijah J, Venator, David, Zhao, Haoran, Shen, Jiacheng, Hu, Xiaohua, An, Yuan
Researchers across nearly every discipline seek to leverage ontologies for knowledge discovery and computational tasks; yet, the number of machine readable materials science ontologies is limited. The work presented in this paper explores the Process
Externí odkaz:
http://arxiv.org/abs/2211.10407
Autor:
An, Yuan, Greenberg, Jane, Zhao, Xintong, Hu, Xiaohua, McCLellan, Scott, Kalinowski, Alex, Uribe-Romo, Fernando J., Langlois, Kyle, Furst, Jacob, Gómez-Gualdrón, Diego A., Fajardo-Rojas, Fernando, Ardila, Katherine
Metal-Organic Frameworks (MOFs) are a class of modular, porous crystalline materials that have great potential to revolutionize applications such as gas storage, molecular separations, chemical sensing, catalysis, and drug delivery. The Cambridge Str
Externí odkaz:
http://arxiv.org/abs/2207.04502
Autor:
Yao, Ningning, Ma, Qingyue, Yi, Wendan, Liu, Yichong, Zhang, Qian, Gao, Xiaodi, Zhao, Xintong, Wang, Haowen, Lei, Ke, Sui, Aihua, Luo, Wenjuan
Publikováno v:
In Cytokine December 2024 184
Autor:
Liao, Tao, Zhao, Xintong, Yang, Xiao, Coates, Phil, Whiteside, Ben, Lai, Yuqing, Jiang, Zhiyong, Men, Yongfeng
Publikováno v:
In Polymer 15 November 2024 313
Scientific literature is one of the most significant resources for sharing knowledge. Researchers turn to scientific literature as a first step in designing an experiment. Given the extensive and growing volume of literature, the common approach of r
Externí odkaz:
http://arxiv.org/abs/2109.12758