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Collocation-based robust variational physics-informed neural networks (CRVPINNs)

Paszyński, Maciej; Los, M.; Służalec, T.; Maczuga, P.; Vilkha, A.; Uriarte, C. (2025-09-01)

Physics-informed neural networks (PINNs) have been widely used to solve partial differential equations (PDEs) through strong residual minimization formulations. Their extension to weak scenarios via Variational PINNs (VPINNs...

Concave Grain Boundaries Stabilized by Boron Segregation for Efficient and Durable Oxygen Reduction

Geng, X.; Vega-Paredes, M.; Lu, X.; Chakraborty, P.; Li, Y.; Scheu, C.; Wang, Z.; Gault, B. (2024-09-17)

The oxygen reduction reaction (ORR) is a critical process that limits the efficiency of fuel cells and metal-air batteries due to its slow kinetics, even when catalyzed by platinum (Pt). To reduce Pt usage, enhancing both th...

Multi-task Online Learning for Probabilistic Load Forecasting

Zaballa, O.; Álvarez, V.; Mazuelas, S. (2024-11-01)

Load forecasting is essential for the efficient, reliable, and cost-effective management of power systems. Load forecasting performance can be improved by learning the similarities among multiple entities (e.g., regions, bui...

Nonlocal cooperative behaviour, psychological effects, and collective decision-making: an exemplification with predator-prey models

Saha, S.; Pal, S.; Melnik, R. (2024-01-01)

In bio-social models, cooperative behaviour has evolved as an adaptive strategy, playing multi-functional roles. One of such roles in populations is to increase the success of survival and reproduction of individuals and th...