3 papers
cond-mat.mtrl-sci2026
Toward the Rational Design of Molecular Field-Coupled Nanocomputing Candidates
Federico Ravera, Leonardo Medrano Sandonas, Andrea Vezzoli +4
Molecular Field-Coupled Nanocomputing (MolFCN) is a promising beyond-CMOS paradigm in which information is propagated electrostatically rather than through charge transport, enabli…
cond-mat.mtrl-sci2026
Data-Driven Thermal and Mechanical Modeling of Defective Covalent Organic Frameworks
Aleksander Szewczyk, Leonardo Medrano Sandonas, David Bodesheim +2
Covalent Organic Frameworks (COFs) are versatile two-dimensional (2D) materials for flexible electronics, catalysis, and sensing, owing to their tunable architectures and large sur…
physics.chem-ph2026
Interpretable Machine Learning for Quantum-Informed Property Predictions in Artificial Sensing Materials
Li Chen, Leonardo Medrano Sandonas, Shirong Huang +2
Digital sensing faces challenges in developing sustainable methods to extend the applicability of customized e-noses to complex body odor volatilome (BOV). To address this challeng…