69 citations · 132 across the 4 of their papers we have counts for
4 papers · 1 filter
Exploring chemical compound space with a graph-based recommender system
Elton Ogoshi, Henrique Ferreira, João N. B. Rodrigues +1
With the availability of extensive databases of inorganic materials, data-driven approaches leveraging machine learning have gained prominence in materials science research. In thi…
Machine Learning Study of the Magnetic Ordering in 2D Materials
Carlos Mera Acosta, Elton Ogoshi, Jose Antonio Souza +1
Magnetic materials have been applied in a large variety of technologies, from data storage to quantum devices. The development of 2D materials has opened new arenas for magnetic co…
High throughput inverse design and Bayesian optimization of functionalities: spin splitting in two-dimensional compounds
Gabriel M. Nascimento, Elton Ogoshi, Adalberto Fazzio +2
The development of spintronic devices demands the existence of materials with some kind of spin splitting (SS). In this Data Descriptor, we build a database of ab initio calculated…
The Rashba Scale: Emergence of Band Anti-Crossing as a Design Principle for Materials with Large Rashba coefficient
Carlos Mera Acosta, Elton Ogoshi, Adalberto Fazzio +2
The spin-orbit -induced spin splitting of energy bands in low symmetry compounds (the Rashba Effect) has a long-standing relevance to spintronic applications and to the fundamental…