Reproduce “Thermal half-lives of azobenzene derivatives: virtual screening based on intersystem crossing using a machine learning potential” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Simon Axelrod, Eugene Shakhnovich, Rafael Gomez-Bombarelli
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.