Carlos Mera Acosta

From DFT to machine learning: recent approaches to materials science–a review

Gabriel R. Schleder, A. C. M. Padilha, Carlos Mera Acosta et al. · Journal of Physics Materials · 2019 · 808 citations · Full text

Engineering, Machine Learning, Machine Learning Algorithms +16

Exploring Two-Dimensional Materials Thermodynamic Stability via Machine Learning

Gabriel R. Schleder, Carlos Mera Acosta, A. Fazzio · ACS Applied Materials & Interfaces · 2019 · 124 citations

Location-Allocation and Accessibility Models for Improving the Spatial Planning of Public Health Services

Gina Polo, Carlos Mera Acosta, Fernando Ferreira et al. · PLoS ONE · 2015 · 86 citations · Full text

Facility Planning, Urban Health, Social Sciences +26

Different shapes of spin textures as a journey through the Brillouin zone

Carlos Mera Acosta, Lin‐Ding Yuan, Gustavo M. Dalpian et al. · Physical review. B./Physical review. B · 2021 · 73 citations

Machine Learning Study of the Magnetic Ordering in 2D Materials

Carlos Mera Acosta, Elton Ogoshi, J. A. Souza et al. · ACS Applied Materials & Interfaces · 2022 · 60 citations · Full text

Magnetic Properties, Engineering, Machine Learning +27