Zobrazeno 1 - 10
of 105
pro vyhledávání: '"John R. Kitchin"'
Autor:
Michael E. Rose, John R. Kitchin
Publikováno v:
SoftwareX, Vol 10, Iss , Pp - (2019)
We present a wrapper for the Scopus RESTful API written for Python 3. The wrapper allows users to access the Scopus database via user-friendly interfaces and can be used without prior knowledge of RESTful APIs. The package provides classes to interac
Externí odkaz:
https://doaj.org/article/d7a050ca684948218bc52aa60edcbc8f
Autor:
Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R Kitchin, Rachel C Kurchin, Zachary W Ulissi
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025018 (2024)
Although density functional theory (DFT) has aided in accelerating the discovery of new materials, such calculations are computationally expensive, especially for high-throughput efforts. This has prompted an explosion in exploration of machine learn
Externí odkaz:
https://doaj.org/article/20ecae75a8384f14a7101708909c445d
Autor:
Rohan Yuri Sanspeur, John R Kitchin
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 015023 (2024)
Magnetic materials play a crucial role in the transition to more sustainable forms of energy and electric vehicles. There is an anticipated shortage in magnetic materials in the future, and as a result there is an urgent need to discover and design n
Externí odkaz:
https://doaj.org/article/367794dc991141d1a34afaa6b89a407b
Publikováno v:
Journal of Chemical Information and Modeling. 63:2427-2437
Autor:
Adeesh Kolluru, Muhammed Shuaibi, Aini Palizhati, Nima Shoghi, Abhishek Das, Brandon Wood, C. Lawrence Zitnick, John R. Kitchin, Zachary W. Ulissi
Publikováno v:
ACS Catalysis. 12:8572-8581
Publikováno v:
AIChE Journal.
Autor:
Ni Zhan, John R. Kitchin
Publikováno v:
Industrial & Engineering Chemistry Research. 61:8368-8377
Publikováno v:
The Journal of Physical Chemistry C. 126:1800-1808
Publikováno v:
Digital Discovery. 1:636-644
With the popularity of machine learning growing in the field of catalysis there are increasing numbers of catalyst databases becoming available.
Publikováno v:
Reaction Chemistry & Engineering. 7:599-608
Data-driven optimization of hydrogen production.