112 citations · 716 across the 24 of their papers we have counts for
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cond-mat.mtrl-sci2026
Cross-Geometry Transferability Assessment of Universal Machine Learning Interatomic Potentials: From Bulk Materials to Atomic Nanowires
Pedro H. M. Zanineli, Bruno Focassio, Gabriel R. Schleder
Foundation machine-learning interatomic potentials (MLIPs) enable atomistic simulations at substantially lower computational cost than first-principles methods, but their reliabili…
cond-mat.mtrl-sci2026
Heterogeneous Molecular Signatures of Human Odor Perception
P. Zanineli, E. V. C. Lopes, G. R. Schleder +3
Understanding how molecular structure gives rise to odor perception remains a long-standing challenge, with ongoing debate over whether olfaction is primarily governed by molecular…