Awesome AI for Science
π
Papers
π§
Topics
π₯
Trending
πΊοΈ
Map
π
Leaderboards
π
Learn
π€
Ask AI
β―
More
π₯
Authors
π
Reading Packs
π
Datasets
π οΈ
Tools
π°
News
π
Blogs
βοΈ
Newsletter
π―
Research Radar
π
Saved
+ Add Paper
βΎ
β
β authors
Β·
overview
Loading authorβ¦
π€
Ask AI
Marius Stan β most-cited papers & profile Β· AI for Science
β authors
Β·
overview
Marius Stan
2
papers Β·
0
citations
Google Scholar β
Semantic Scholar β
OpenAlex β
Most-cited papers
Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide
2019
An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
2020
Top co-authors
Anand Narayanan Krishnamoorthy
Β· 2
Ganesh Sivaraman
Β· 2
\'Alvaro V\'azquez-Mayagoitia
Β· 1
Alvaro Vazquez-Mayagoitia
Β· 1
Chris Benmore
Β· 1
Chris J. Benmore
Β· 1
Christian Holm
Β· 1
Gabor Csanyi
Β· 1
Gabor Cs\'anyi
Β· 1
Leighanne Gallington
Β· 1
Matthias Baur
Β· 1
Topics
Materials
Chemistry
Physics ML