ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
1
views
0
references
Top references
cited by
13
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
599
similar
All similar
Record
: found
Abstract
: not found
Article
: not found
Chemical hardness-driven interpretable machine learning approach for rapid search of photocatalysts
Author(s):
Ritesh Kumar
,
Abhishek Singh
,
R. KUMAR
,
AK Singh
,
R Kumar
,
A. L. Singh
,
R Kumar
Publication date:
2021
Journal:
NPJ Comput. Mater
Read this article at
ScienceOpen
Publisher
Further versions
oa journal (via doaj)
Powered by
Bookmark
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Annual Reviews AI, Machine Learning, and Society
Author and article information
Journal
DOI::
10.1038/s41524-021-00669-4
ScienceOpen disciplines:
Uncategorized
Data availability:
ScienceOpen disciplines:
Uncategorized
Comments
Comment on this article
Sign in to comment
scite_
Similar content
599
Prediction of grape yields from time-series vegetation indices using satellite remote sensing and a machine-learning approach
Authors:
Sara Arab
,
Ryozo Noguchi
,
Shusuke Matsushita
…
A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys
Authors:
Jie Xiong
,
San-Qiang Shi
,
Tong-Yi Zhang
Learning Stackelberg Equilibria and Applications to Economic Design Games
Authors:
Gianluca Brero
,
Alon Eden
,
Darshan Chakrabarti
…
See all similar
Cited by
13
A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation
Authors:
Manu Suvarna
,
Thaylan Pinheiro Araújo
,
Javier Pérez-Ramírez
Identifying Descriptors for Promoted Rhodium-Based Catalysts for Higher Alcohol Synthesis
via
Machine Learning
Authors:
Manu Suvarna
,
Phil Preikschas
,
Javier Pérez-Ramírez
Machine learning integrated photocatalysis: progress and challenges
Authors:
Luyao Ge
,
Yuanzhen Ke
,
Xiaobo Li
See all cited by