Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncertainty quantification
Códigos FreeFem++ para resolver problemas de orden reducido
DamageLab — bilingual desktop and web platform for 2D damage-field prediction, surrogate-model training, batch inference, OOD detection, and model traceability.
FE-based reduced order models for rotordynamic and aeroelastic analysis of aircraft engines (Master Thesis, UniPD)
Python wrapper for PFFDTD with a non-intrusive reduced order model for CHORAS
Gaussian-Process surrogate of a 1D cooling loop: microsecond performance prediction with uncertainty, for digital-twin and anomaly-detection use
Reduced-order stochastic model of particle-triggered soft-gel clogging in a shallow (100 um) microfluidic channel. Shows that particle-streak topology, not concentration, controls the clogging threshold.
PolyQEP: piecewise-continuous modulus framework and PW-R/PW-RG reduced-order models for frequency-response analysis with frequency-dependent viscoelastic damping
Dynamic-stall prediction on a helicopter retreating blade (NACA 0012) using UNISTALL — a reduced-order Unified Indicial–Beddoes State-Space (UIBS) solver — validated against NASA static and dynamic-stall experiments. Full geometry→mesh→solve→validate pipeline with plots, drawings, and technical report.
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