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20242026
most citedThe Maximum of Conventional Superconductors at Ambient Pressure

23 citations · 30 across the 13 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cond-mat.mtrl-sci2025

AI-Driven Expansion and Application of the Alexandria Database

Théo Cavignac, Jonathan Schmidt, Pierre-Paul De Breuck +9

We present a novel multi-stage workflow for computational materials discovery that achieves a 99% success rate in identifying compounds within 100 meV/atom of thermodynamic stabili…

cond-mat.mtrl-sci2025

Generative AI for Crystal Structures: A Review

Pierre-Paul De Breuck, Hai-Chen Wang, Gian-Marco Rignanese +2

As in many other fields, the rapid rise of generative artificial intelligence is reshaping materials discovery by offering new ways to propose crystal structures and, in some cases…

cond-mat.mtrl-sci2025

Universal Machine Learning Potentials under Pressure

Antoine Loew, Jonathan Schmidt, Silvana Botti +1

Universal machine learning interatomic potentials (uMLIPs) represent arguably the most successful application of machine learning to materials science, demonstrating remarkable per…

cond-mat.mtrl-sci2025★ 1 cited

Universal Machine Learning Potential for Systems with Reduced Dimensionality

Giulio Benedini, Antoine Loew, Matti Hellstrom +2

We present a benchmark designed to evaluate the predictive capabilities of universal machine learning interatomic potentials across systems of varying dimensionality. Specifically,…

physics.chem-ph2025★ 2 cited

MACE4IRmol: An uncertainty-aware foundation model for molecular infrared spectroscopy

Nitik Bhatia, Ondrej Krejci, Silvana Botti +2

Machine-learned interatomic potentials (MLIPs) have shown significant promise in predicting infrared spectra with high fidelity. However, the absence of general-purpose MLIPs that…

cond-mat.supr-con2025

Enhanced superconductivity in X4H15compounds via hole-doping at ambient pressure

Kun Gao, Wenwen Cui, Tiago F. T. Cerqueira +3

This study presents a computational investigation of X4H15 compounds (where X represents a metal) as potential superconductors at ambient conditions or under pressure. Through syst…

cond-mat.supr-con2025★ 23 cited

The Maximum of Conventional Superconductors at Ambient Pressure

Kun Gao, Tiago F. T. Cerqueira, Antonio Sanna +6

The theoretical maximum critical temperature () for conventional superconductors at ambient pressure remains a fundamental question in condensed matter physics. Through analys…