@millionatomman.bsky.social
Interesting article showing that the highest frequency for phonons in materials is set by fundamental constants of nature (and suggesting that the same is true for the maximum possible superconducting temperature) @ioppublishing.bsky.social
iopscience.iop.org/article/10.1...
iopscience.iop.org/article/10.1...
September 19, 2025 at 10:46 AM
Interesting article showing that the highest frequency for phonons in materials is set by fundamental constants of nature (and suggesting that the same is true for the maximum possible superconducting temperature) @ioppublishing.bsky.social
iopscience.iop.org/article/10.1...
iopscience.iop.org/article/10.1...
Interesting new test set for machine-learning potentials, highlights the importance of going beyond energy and force matching: pubs.acs.org/doi/10.1021/...
MS25: Materials Science-Focused Benchmark Data Set for Machine Learning Interatomic Potentials
We present MS25, a benchmark data set for evaluating machine learning interatomic potentials (MLIPs) across diverse materials-relevant systems including MgO surfaces, liquid water, zeolites, a catalyt...
pubs.acs.org
August 5, 2025 at 10:20 AM
Interesting new test set for machine-learning potentials, highlights the importance of going beyond energy and force matching: pubs.acs.org/doi/10.1021/...