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cond-mat.mtrl-sci2026
Chalcogen Impurity Barriers in 2D Systems via Semi-Empirical/Machine Learning Modeling: A Survey over 4000 Materials
M. L. Pereira Junior, M. G. E. da Luz, P. Cesana +7
Adequate characterization of two-dimensional materials with low energy barriers for impurity adsorption is key for advancing applications based on catalysis, sensing, and surface f…
cond-mat.mtrl-sci2026
A Comparative Study of Structural Representations for 2D Materials: Insights from Dynamic Collision Fingerprint and Matminer
Raphael M. Tromer, Isaac M. Felix, Rafael Besse +2
In materials science, the selection of structural descriptors for machine learning protocols strongly influences predictive performance and the degree of physical interpretability…