John T. Hwang

According to our database, John T. Hwang authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes.

Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper H. Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R. R. A. Martins

Adv. Eng. Softw., February, 2024

A gradient-enhanced univariate dimension reduction method for uncertainty propagation.

Bingran Wang, Nicholas C. Orndorff, Mark Sperry, John T. Hwang

CoRR, 2024

Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules.

Bingran Wang, Nicholas C. Orndorff, John T. Hwang

CoRR, 2024

2023

Accelerating model evaluations in uncertainty propagation on tensor grids using computational graph transformations.

Bingran Wang, Mark Sperry, Victor E. Gandarillas, John T. Hwang

CoRR, 2023

Large-scale multidisciplinary design optimization of the NASA lift-plus-cruise concept using a novel aircraft design framework.

Marius L. Ruh, Darshan Sarojini, Andrew H. Fletcher, Isaac Asher, John T. Hwang

CoRR, 2023

TALOS: A toolbox for spacecraft conceptual design.

Victor E. Gandarillas, John T. Hwang

CoRR, 2023

2022

A Generalized Framework for Concentric Tube Robot Design Using Gradient-Based Optimization.

Jui-Te Lin, Cédric Girerd, Jiayao Yan, John T. Hwang, Tania K. Morimoto

IEEE Trans. Robotics, 2022

An open-source framework for coupling non-matching isogeometric shells with application to aerospace structures.

Han Zhao, Xiangbei Liu, Andrew H. Fletcher, Ru Xiang, John T. Hwang, David Kamensky

Comput. Math. Appl., 2022

2019

A Python surrogate modeling framework with derivatives.

Mohamed Amine Bouhlel, John T. Hwang, Nathalie Bartoli, Rémi Lafage, Joseph Morlier, Joaquim R. R. A. Martins

Adv. Eng. Softw., 2019

2018

A Computational Architecture for Coupling Heterogeneous Numerical Models and Computing Coupled Derivatives.

John T. Hwang, Joaquim R. R. A. Martins

ACM Trans. Math. Softw., 2018