Author

C. Rekatsinas

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Preprint Aug 2026

An Explainable Physics-Informed Neural Frequency-Response Framework for Shunt-Parameter Identification in Semi-Active Piezoelectric Tuned Mass Dampers

This paper proposes a Physics-Informed Neural Frequency Response Framework for learning and interpreting the frequency-domain behavior of semi-active shunted piezoelectric tuned mass dampers. The motivation is that the behavior of such systems is most naturally expressed through frequency response functions, while the...

Andreas Georgiou, Vasileios Gkatsis, Vasileios Sioros et al. · 0 citations

Preprint Aug 2026

Towards trajectory-unsupervised physics-informed neural solvers for molecular dynamics

The results indicate that physically meaningful molecular trajectories can emerge directly from physics-only supervision, supporting the feasibility of trajectory-unsupervised neural solvers for molecular dynamics.

Petros Triantafyllos, P. Krokidas, C. Rekatsinas · 0 citations

Jul 2026

Frugal Bayesian Optimization: Scalable Surrogates for Data- and Resource-Limited Discovery

A surrogate-recommendation framework is introduced that predicts the most suitable BO surrogate from inexpensive dataset characteristics and establishes FruBO as a reproducible, compute-aware baseline for Bayesian Optimization and provides practical guidance for surrogate selection under limited computational and exper...

P. Krokidas, C. Rekatsinas, Vassilis Sioros et al. · arXiv.org · 1 citation