From DFT to machine learning: recent approaches to materials science–a review
2019 · Journal of Physics Materials · 808 citations
https://doi.org/10.1088/2515-7639/ab084b
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Carlos Mera Acosta
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Carlos Mera Acosta is an academic researcher from Center for Human Genetics. The author has contributed to research in topics: Topological Materials and Phenomena & 2D Materials and Applications & Graphene research and applications. The author has an h-index of 19, co-authored 63 publications.
ORCID: 0000-0002-9148-2142Papers by this author
worksZeeman-type spin splitting in nonmagnetic three-dimensional compounds
2019 · npj Quantum Materials · 37 citations
https://doi.org/10.1038/s41535-019-0182-z
High-throughput inverse design and Bayesian optimization of functionalities: spin splitting in two-dimensional compounds
2022 · Scientific Data · 14 citations
https://doi.org/10.1038/s41597-022-01292-8
Learning from machine learning: the case of band-gap directness in semiconductors
2024 · Discover Materials · 8 citations
https://doi.org/10.1007/s43939-024-00073-x
Chirality-driven dimensionality and broadband emission in lead bromide perovskites
2025 · Materials Advances · 1 citations
https://doi.org/10.1039/d5ma01061f
Author Correction: High-throughput inverse design and Bayesian optimization of functionalities: spin splitting in two-dimensional compounds
2022 · Scientific Data · 0 citations
https://doi.org/10.1038/s41597-022-01641-7
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