44 citations · 139 across the 20 of their papers we have counts for
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Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials
Markus Eisenbach, Mariia Karabin, Massimiliano Lupo Pasini +1
The investigation of finite temperature properties using Monte-Carlo (MC) methods requires a large number of evaluations of the system's Hamiltonian to sample the phase space neede…
Atomic structure generation from reconstructing structural fingerprints
Victor Fung, Shuyi Jia, Jiaxin Zhang +3
Data-driven machine learning methods have the potential to dramatically accelerate the rate of materials design over conventional human-guided approaches. These methods would help…
Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks
Massimiliano Lupo Pasini, Junqi Yin
We propose a stable, parallel approach to train Wasserstein Conditional Generative Adversarial Neural Networks (W-CGANs) under the constraint of a fixed computational budget. Diffe…