Author

Luis Rojas-Valdivia

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Open access Sep 2026

Structure-Preserving Excess Gibbs Learning for Multicomponent Phase Equilibria: A Falsifiable and Uncertainty-Aware Synthetic Study

This fully synthetic study tests a structure-preserving surrogate on NRTL-generated phase equilibrium systems; it contains no experimental molecular validation. A symmetric neural potential represents GE/(nRT), from which activity coefficients, thermal derivatives, binodals, flashes, and tangent-plane-distance diagnost...

P. Robles, Luis Rios-Colque, Vanesa Bazán et al. · International Journal of Mol... · 0 citations

Review Open access Aug 2026

Scientific Machine Learning for Coating Degradation and Corrosion Prediction: A Critical Review and Thermodynamic Research Perspective

A Thermo-Fractional Graph Phase-Field Neural Operator (TFG–PFNO) is proposed as a research framework that combines fractional memory, graph-based geometry, phase-field interface evolution, metriplectic dynamics, and calibrated uncertainty to preserve physical admissibility and propagate uncertainty to structural risk,...

Luis Rojas-Valdivia, P. Moraga, Álvaro Peña et al. · Coatings · 0 citations

Open access Jul 2026

Adaptive Scoring-and-Memory Policies for Repair Intensification in the Multi-Demand Multidimensional Knapsack Problem: A Comparative Analysis of Solution Quality and Trajectory Diversity

The Multi-Demand Multidimensional Knapsack Problem (MDMKP) combines upper-bound capacities and lower-bound demands, producing a restrictive feasible region. We study three swap-based repair-intensification policies in a common hybrid framework: lightweight Hash tabu search, randomly sampled tabu search, and online lear...

P. Moraga, Luis Rojas-Valdivia, Hernán Pinto et al. · Mathematics · 0 citations