George D. Pasparakis

According to our database, George D. Pasparakis authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Physics-constrained Gaussian Processes for Predicting Shockwave Hugoniot Curves.

George D. Pasparakis, Himanshu Sharma, Rushik Desai, Chunyu Li, Alejandro Strachan, Lori Graham-Brady, Michael D. Shields

CoRR, January, 2026

Probabilistic failure analysis of stochastically excited nonlinear structural systems with fractional derivative elements.

Marco Behrendt, Vasileios C. Fragkoulis, George D. Pasparakis, Michael Beer

Reliab. Eng. Syst. Saf., 2026

2025

Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning.

George D. Pasparakis, Ioannis A. Kougioumtzoglou, Michael D. Shields

CoRR, July, 2025

UQpy Version 4.2: Uncertainty quantification with Python.

Connor Krill, Ponkrshnan Thiagarajan, George D. Pasparakis, Somdatta Goswami, Dimitrios Tsapetis, Dimitris G. Giovanis, Michael D. Shields

SoftwareX, 2025

2024

Bayesian neural networks for predicting uncertainty in full-field material response.

George D. Pasparakis, Lori Graham-Brady, Michael D. Shields

CoRR, 2024