47 citations · 54 across the 10 of their papers we have counts for
4 papers · 1 filter
Universal Machine Learning Interatomic Potentials are Ready for Phonons
Antoine Loew, Dewen Sun, Hai-Chen Wang +2
There has been an ongoing race for the past several years to develop the best universal machinelearning interatomic potential. This progress has led to increasingly accurate models…
Prediction of high-Tc superconductivity in ternary actinium beryllium hydrides at low pressure
Kun Gao, Wenwen Cui, Jingming Shi +5
Hydrogen-rich superconductors are promising candidates to achieve room-temperature superconductivity. However, the extreme pressures needed to stabilize these structures significan…
A non-orthogonal representation of the chemical space
Tiago F. T. Cerqueira, Haichen Wang, Silvana Botti +1
We present a novel approach to generate a fingerprint for crystalline materials that balances efficiency for machine processing and human interpretability, allowing its application…
Floralens: a Deep Learning Model for the Portuguese Native Flora
António Filgueiras, Eduardo R. B. Marques, Luís M. B. Lopes +2
Machine-learning techniques, especially deep convolutional neural networks, are pivotal for image-based identification of biological species in many Citizen Science platforms. In t…