2024

ArtiSAN: Navigating the complexity of material structures with deep reinforcement learning

Jonas Elsborg, Arghya Bhowmik Author
ChemRxiv 

CURATOR: Building Robust Machine Learning Potentials for Atomistic Simulations Autonomously with Batch Active Learning

Xin Yang, Martin Hoffmann Petersen, Renata Sechi, William Sandholt Hansen, Sam Walton Norwood, Yogeshwaran Krishnan, Smobin Vincent, Jonas Busk, Francois Raymond J Cornet, Ole Winther, Juan Maria Garcia Lastra, Tejs Vegge, Heine Anton Hansen, Arghya Bhowmik
ChemRxiv 

MACE-MP: A foundation model for atomistic chemistry

Ilyes Batatia, et al.
ArXiv

PerQueue: Managing Complex and Dynamic Workflows

Benjamin Sjølin, William Hansen, Armando Antonio Morin-Martinez, Laura Hannemose Rieger, Tejs Vegge, Juan Maria Garcia-Lastra, Ivano Eligio Castelli
ChemRxiv

Power electronics in wind generation systems

Frede Blaabjerg, Meng Chen, Liang Huang 
Nature Reviews Electrical Engineering

Precious Metal Free Hydrogen Evolution Catalyst Design and Application

Anders A. Feidenhans’l, Yagya N. Regmi, Chao Wei, Dong Xia, Jakob Kibsgaard, Laurie A. King
Chemical Reviews

2023

Reduction reactions versus hydrogen

Alexander Bagger
Current Opinion in Electrochemistry

A foundation model for atomistic materials chemistry

Arghya Bhowmik, Tejs Vegge, et. al.
ArXiv