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)

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)

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)

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)

TALOS: A toolbox for spacecraft conceptual design. - 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)

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)

Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules. - Bingran Wang; Nicholas C. Orndorff; John T. Hwang (CoRR, 2024)

A gradient-enhanced univariate dimension reduction method for uncertainty propagation. - Bingran Wang; Nicholas C. Orndorff; Mark Sperry; John T. Hwang (CoRR, 2024)

Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method. - Bingran Wang; Nicholas C. Orndorff; Mark Sperry; John T. Hwang (CoRR, 2024)

modOpt: A modular development environment and library for optimization algorithms. - Anugrah Jo Joshy; John T. Hwang (CoRR, 2024)

Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach. - Bingran Wang; Min Sung Kim; Taewoong Yoon; Dasom Lee; Byeong-Sang Kim; Dougyong Sung; John T. Hwang (CoRR, 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., 2024)

Shape Control of Concentric Tube Robots via Approximate Follow-the-Leader Motion. - Yunti Xu; Connor Watson; Jui-Te Lin; John T. Hwang; Tania K. Morimoto (IEEE Robotics Autom. Lett., 2024)

Automated shape and thickness optimization for non-matching isogeometric shells using free-form deformation. - Han Zhao; David Kamensky; John T. Hwang; Jiun-Shyan Chen (Eng. Comput., 2024)

PySLSQP: A transparent Python package for the SLSQP optimization algorithm modernized with utilities for visualization and post-processing. - Anugrah Jo Joshy; John T. Hwang (J. Open Source Softw., 2024)

Closing the Loop on Concentric Tube Robot Design: A Case Study on Micro-Laryngeal Surgery. - Jui-Te Lin; Cédric Girerd; Benjamin T. Ostrander; Parsa Molaei; Hunter B. Gilbert; Philip A. Weissbrod; John T. Hwang; Tania K. Morimoto (IEEE Trans. Biomed. Eng., 2024)

Multidisciplinary Control Co-Design Optimization of Anguilliform-Swimming Soft Fluidic Robots. - Andrew H. Fletcher; Ru Xiang; Luca Scotzniovsky; Jacobo Cervera-Torralba; Michael Thomas Tolley; John T. Hwang (RoboSoft, 2025)

A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing. - Bingran Wang; Michael Warner; Aoran Tian; Luca Scotzniovsky; John T. Hwang (CoRR, 2025)

Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis. - Yeonsu Kim; Junhan Lee; John T. Hwang; Bingran Wang; Dongjin Lee (CoRR, 2025)

Open-source shape optimization for isogeometric shells using FEniCS and OpenMDAO. - Han Zhao; John T. Hwang; Jiun-Shyan Chen (Eng. Comput., 2025)

Weighted Proper Orthogonal Decomposition for High-Dimensional Optimization. - Sebastiaan P. C. van Schie; Boris Kramer; John T. Hwang (CoRR, 2025)