Physics-informed Gaussian process model for Euler-Bernoulli beam elements. - Gledson Rodrigo Tondo; Sebastian Rau; Igor Kavrakov; Guido Morgenthal (CoRR, 2023)

A physics-informed machine learning model for reconstruction of dynamic loads. - Gledson Rodrigo Tondo; Igor Kavrakov; Guido Morgenthal (CoRR, 2023)

Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes. - Gledson Rodrigo Tondo; Sebastian Rau; Igor Kavrakov; Guido Morgenthal (CoRR, 2023)

Characterization of the iPhone LiDAR-Based Sensing System for Vibration Measurement and Modal Analysis. - Gledson Rodrigo Tondo; Charles Riley; Guido Morgenthal (Sensors, 2023)

Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory. - Igor Kavrakov; Gledson Rodrigo Tondo; Guido Morgenthal (CoRR, 2024)

Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions. - Gledson Rodrigo Tondo; Igor Kavrakov; Guido Morgenthal (CoRR, 2025)