LSDO Publications

Metadata catalog; PDF links appear only after exact-digest rights approval.

Efficient and Robust Enforcement of Geometric Non-Interference Constraints for Large-Scale Multidisciplinary Design Optimization

Andrew H. Fletcher; Hollis A. Smith; John T. Hwang

AIAA AVIATION 2026 Forum, AIAA 2026-4501 (AFRL public release) (2026)

Enhancing Robustness and Efficiency in Large-Scale System Design Optimization Using Hessian-Vector Products

Anugrah Jo Joshy; Jonathan Zerez; John T. Hwang

ASME IDETC/CIE 2026, Houston, Aug 23–26 (DETC2026-XXXX); public domain at conference (2026)

modOpt: A modular development environment and library for optimization algorithms

Anugrah Jo Joshy; John T. Hwang

Advances in Engineering Software (2026)

A Distributed Algorithm for Large-Scale Multidisciplinary Design Optimization With Global Constraints

Nicholas C. Orndorff; Christopher Lupp; John T. Hwang

AIAA AVIATION 2026 Forum (2026)

Surface Mesh Deformation for Large-Scale Multidisciplinary Design Optimization of Aircraft Concepts

Marius L. Ruh; John T. Hwang

AIAA AVIATION 2026 Forum, AIAA 2026-4569 (2026)

System-Level, Large-Scale Multidisciplinary Design Optimization of an Air Taxi Concept

Marius L. Ruh; Michael A. P. Warner; Luca Scotzniovsky; Andrew H. Fletcher; Mark Z. Sperry; John T. Hwang

Journal of Aircraft (2026)

Large-Scale Multidisciplinary Design Optimization of a Blended Wing Body Aircraft Using Mid-Fidelity, Multi-Point Analysis

Luca Scotzniovsky; Nicholas C. Orndorff; Andrew H. Fletcher; Jason Kao; John T. Hwang

AIAA AVIATION 2026 Forum (2026)

VortexAD: A Graph-Based Linear Potential Flow Analysis Framework for Large-Scale MDO

Luca Scotzniovsky; John T. Hwang

AIAA AVIATION 2026 Forum, AIAA 2026-4642 (2026)

Multifidelity Surrogate Modeling for 3D Aerodynamic Flow Field Prediction Using Graph Neural Networks

Mark Sperry; John T. Hwang

AIAA AVIATION 2026 Forum (2026)

Computational Framework for High-Fidelity Aerodynamic Shape Optimization Using Weighted POD

Sebastiaan P. van Schie; John T. Hwang

AIAA AVIATION 2026 Forum (2026)

Towards Hyper-Reduced Weighted POD for Large-Scale Aerodynamic Design Optimization

Sebastiaan P. van Schie; John T. Hwang

AIAA SCITECH 2026 Forum (2026)

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

Springer-format journal manuscript (venue verify) (2026)

Knowledge-Guided Generative Surrogate Modeling for High-Dimensional Design Optimization Under Scarce Data

Bingran Wang; Seongha Jeong; Sebastiaan P. C. van Schie; Dongyeon Han; Jaeho Min; John T. Hwang

Journal of Computing and Information Science in Engineering (2026)

Reduced Jacobian Supervision for Data-Efficient Operator Learning in High-Dimensional Design Spaces

Michael Warner; John T. Hwang

AIAA AVIATION 2026 Forum (2026)

Cost Optimization of Electric Vertical Takeoff and Landing Aircraft Through Powertrain Modeling

Zeyu Cheng; Zhi Cao; Chris Mi; John T. Hwang

Journal of Air Transportation (2025)

Weight minimization of electric vertical takeoff and landing aircraft: From the comprehensive powertrain perspective

Zeyu Cheng; Zhi Cao; John T. Hwang; Chris Mi

International Journal of Electrical Power & Energy Systems (2025)

Multidisciplinary Control Co-Design Optimization of Anguilliform-Swimming Soft Fluidic Robots

Andrew Fletcher; Ru Xiang; Luca Scotzniovsky; Jacobo Cervera-Torralba; Michael T. Tolley; John T. Hwang

IEEE-format conference/letter, 2025 (RoboSoft/ICRA-class; verify) (2025)

Multidisciplinary Design Optimization of an Eel-Inspired Soft Robot

Andrew H. Fletcher; Ru Xiang; Jacobo Cervera-Torralba; Michael T. Tolley; John T. Hwang

AIAA SciTech 2025 Forum; AIAA 2025-1751 (2025)

Spline Dimensional Decomposition with Interpolation-Based Optimal Knot Selection for Stochastic Dynamic Analysis

Yeonsu Kim; Junhan Lee; Dongjin Lee

arXiv:2505.12879 [stat.ML], June 2025 (journal venue: verify) (2025)

Penalty-Based Coupling of Non-Matching Beam Cross-Section Meshes for Large-Scale Design Optimization

Joshua Krokowski; John T. Hwang

AIAA AVIATION FORUM AND ASCEND 2025 (2025)

Serially-Connected Soft Continuum Robots for Endovascular Emergencies

Aedan Mangan; Sukjun Kim; Noah Jones; Michael G. Brandel; Jeremy J. Heit; Alexander Norbash; John T. Hwang; Elliot Hawkes; Tania K. Morimoto

IEEE Transactions on Medical Robotics and Bionics (2025)

A Distributed Method for Solving Large-Scale Multidisciplinary Optimization Problems

Nicholas C. Orndorff; John T. Hwang

AIAA AVIATION FORUM AND ASCEND 2025 (2025)

Differentiable Surface Mesh Deformation for Non-Conformal, Independently Parameterized Components with Large Shape Changes

Marius L. Ruh; John T. Hwang

AIAA AVIATION FORUM AND ASCEND 2025 (2025)

Toward Large-Scale Multidisciplinary Design Optimization of Aircraft With CFD and Mixed-Fidelity System Models

Marius L. Ruh; Michael Warner; John T. Hwang

AIAA SCITECH 2025 Forum (2025)

A Fast, Memory-Efficient Panel Method for Large-Scale Multidisciplinary Design Optimization Under Uncertainty Using Graph-Based Modeling

Luca Scotzniovsky; John T. Hwang

AIAA conference paper, 2025 (forum: verify) (2025)

Geometric design of electric motors using adjoint-based shape optimization

Luca Scotzniovsky; Ru Xiang; Zeyu Cheng; Gabriel Rodriguez; David Kamensky; Chris Mi; John T. Hwang

Optimization and Engineering (2025)

Hybrid Training of Physics-Informed Neural Networks with Approximate Supervision

Mark Sperry; John T. Hwang

AIAA conference paper, 2025 (forum: verify) (2025)

Ozone: an open-source ordinary differential equation solver for gradient-based optimization

Mark Z. Sperry; John T. Hwang

Optimization and Engineering (2025)

Large-Scale Distributed Multidisciplinary Design Optimization of the NASA Lift-Plus-Cruise Air Taxi Concept

Sebastiaan P. van Schie; Marius L. Ruh; Andrew H. Fletcher; Michael Warner; Mark Sperry; Luca Scotzniovsky; Nicholas C. Orndorff; Ru Xiang; Jiayao Yan; Han Zhao; Joshua Krokowski; Jiun-Shyan Chen; Darshan Sarojini; Hyunjune Gill; Seongkyu Lee; Andrew C. Tagg; Ryan Anderson; Eric Green; Cibin Joseph; Andrew Ning; Zeyu Cheng; Zhi Cao; Chunting Mi; Alexandre T. Guibert; Ashley Cronk; Alicia A. Kim; Shirley Meng; Christopher Silva; John T. Hwang

AIAA SCITECH 2025 Forum (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

AIAA SCITECH 2025 Forum (2025)

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

Aerospace Science and Technology (2025)

Large-scale MDO under uncertainty of an eVTOL aircraft using dimension reduction via global sensitivity analysis

Bingran Wang; Marius L. Ruh; Aoran Tian; Luca Scotzniovsky; John T. Hwang

AIAA AVIATION FORUM AND ASCEND 2025 (2025)

Open-source shape optimization for isogeometric shells using FEniCS and OpenMDAO

Han Zhao; John T. Hwang; Jiun-Shyan Chen

Engineering with Computers (2025)

Scalable enforcement of geometric non-interference constraints for gradient-based optimization

Ryan C. Dunn; Anugrah Jo Joshy; Jui-Te Lin; Cédric Girerd; Tania K. Morimoto; John T. Hwang

Optimization and Engineering (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 Transactions on Biomedical Engineering (2024)

Large-scale multidisciplinary design optimization of a NASA air taxi concept using a comprehensive physics-based system model

Marius L. Ruh; Andrew Fletcher; Darshan Sarojini; Mark Sperry; Jiayao Yan; Luca Scotzniovsky; Sebastiaan P. van Schie; Michael Warner; Nicholas C. Orndorff; Ru Xiang; Anugrah J. Joshy; Han Zhao; Joshua Krokowski; Hyunjune Gill; Seongkyu Lee; Zeyu Cheng; Zhi Cao; Chris Mi; Christopher Silva; Lauren Wolfe; Jiun-Shyan Chen; John T. Hwang

AIAA SCITECH 2024 Forum (2024)

Abort Guidance During Lunar Powered Descent

Sergio A. Sandoval; Ping Lu; John T. Hwang

Journal of Guidance, Control, and Dynamics (2024)

Review of Computational Models for Large-Scale MDAO of Urban Air Mobility Concepts

Darshan Sarojini; Marius Ruh; Jiayao Yan; Luca Scotzniovsky; Nicholas C. Orndorff; Ru Xiang; Han Zhao; Joshua Krokowski; Michael Warner; Sebastiaan van Schie; Ashley Cronk; Alexandre T. Guibert; Jeffrey T. Chambers; Lauren Wolfe; Rachel Doring; Robin Despins; Cibin Joseph; Ryan Anderson; Andrew Ning; Hyunjune Gill; Seongkyu Lee; Zeyu Cheng; Zhi Cao; Chris Mi; Ying Shirley Meng; Christopher Silva; Jiun-Shyan Chen; Alicia A. Kim; John T. Hwang

AIAA SCITECH 2024 Forum (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 Bussemaker; Thierry Lefebvre; John T. Hwang; Joseph Morlier; Joaquim R.R.A. Martins

Advances in Engineering Software (2024)

Static Task Scheduling for Parallel Execution of Large-Scale Multidisciplinary Design Optimization Models

Mark Sperry; Kavish Kondap; John T. Hwang

AIAA SCITECH 2024 Forum (2024)

Enforcing Work Conservation in Modular Aeroelastic Coupling For Multidisciplinary Design Optimization

Sebastiaan P. van Schie; Michael Warner; Andrew Fletcher; John T. Hwang

AIAA SCITECH 2024 Forum (2024)

A gradient-enhanced univariate dimension reduction method for uncertainty propagation

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

Aerospace Science and Technology (2024)

A gradient-enhanced univariate dimension reduction method for uncertainty propagation

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

AIAA SCITECH 2024 Forum (2024)

Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification

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

Aerospace Science and Technology (2024)

Graph-accelerated large-scale multidisciplinary design optimization under uncertainty of a laser-beam-powered aircraft

Bingran Wang; Nicholas C. Orndorff; Anugrah J. Joshy; John T. Hwang

AIAA SCITECH 2024 Forum (2024)

A Method for Modular MDO Model Assembly via a Solver Independent Field Representation

Michael Warner; Andrew Fletcher; Sebastiaan P. van Schie; John T. Hwang

AIAA SCITECH 2024 Forum (2024)

Automating adjoint sensitivity analysis for multidisciplinary models involving partial differential equations

Ru Xiang; Sebastiaan P. C. van Schie; Luca Scotzniovsky; Jiayao Yan; David Kamensky; John T. Hwang

Structural and Multidisciplinary Optimization (in press 2024, per CV) (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 and Automation Letters (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

Engineering with Computers (2024)

Shape optimization of non-matching isogeometric shells with moving intersections

Han Zhao; John T. Hwang; Jiun-Shyan Chen

Computer Methods in Applied Mechanics and Engineering (2024)

Aerostructural Predictions Combining FEniCS and a Viscous Vortex Particle Method FLOWVPM

Ryan M. Anderson; Andrew Ning; Ru Xiang; Sebastiaan P. C. van Schie; Mark Sperry; Darshan Sarojini; David Kamensky; John T. Hwang

AIAA SciTech 2023 Forum (2023)

A Differentiable Method for Low-Fidelity Analysis of Permanent-Magnet Synchronous Motors

Zeyu Cheng; Shuofeng Zhao; Luca Scotzniovsky; Gabriel Rodriguez; Chris Mi; John T. Hwang

AIAA SciTech 2023 Forum (2023)

A Novel Single-Turn Permanent Magnet Synchronous Machine for Electric Aircraft

Zeyu Cheng; Zhi Cao; John T. Hwang; Chris Mi

Energies (2023)

A Graph-Based Methodology for Constructing Computational Models that Automates Adjoint-Based Sensitivity Analysis

Victor Gandarillas; Anugrah Jo Joshy; Mark Z. Sperry; Alexander K. Ivanov; John T. Hwang

Structural and Multidisciplinary Optimization 67.5 (2024), p. 76 (2023)

Large-Scale Multidisciplinary Design Optimization of a Virtual-Telescope CubeSat Swarm

Victor E. Gandarillas; John T. Hwang

AIAA Aviation 2023 Forum (2023)

Applicability of Low-Fidelity Tonal and Broadband Noise Models on Small-Scale Rotors

Hyunjune Gill; Seongkyu Lee; Marius L. Ruh; John T. Hwang

AIAA SciTech 2023 Forum (2023)

Efficient Gradient-Based Optimization of Differential-Algebraic Equation Systems

Zeyu Huang; Darshan Sarojini; John T. Hwang

AIAA SCITECH 2023 Forum (2023)

An SQP algorithm based on a hybrid architecture for accelerating optimization of large-scale systems

Anugrah Jo Joshy; Ryan Dunn; Mark Sperry; Victor E. Gandarillas; John T. Hwang

AIAA AVIATION 2023 Forum (2023)

Physics-based Surrogate Models for Urban Air Mobility Vehicle Weight Prediction

Thomas Nascenzi; Timothy Cuatt; Tyler F. Winter; Marius L. Ruh; Darshan Sarojini; John T. Hwang; Sarina Kiani

AIAA SCITECH 2023 Forum (2023)

Air-taxi transition trajectory optimization with physics-based models

Nicholas C. Orndorff; Darshan Sarojini; Luca Scotzniovsky; Hyunjune Gill; Seongkyu Lee; Zeyu Cheng; Shuofeng Zhao; Chris Mi; John T. Hwang

AIAA SCITECH 2023 Forum (2023)

Gradient-Based Sizing Optimization of Power-Beaming-Enabled Aircraft

Nicholas C. Orndorff; Bingran Wang; Marius L. Ruh; Andrew H. Fletcher; John T. Hwang

AIAA conference paper, 2023 (forum: verify) (2023)

Airfoil shape parameterization using reconstruction-error-minimizing generative adversarial networks

Marius L. Ruh; Xiangbei Liu; Rose Yu; John T. Hwang

AIAA AVIATION 2023 Forum (2023)

Fast and Robust Computation of Optimal Rotor Designs Using Blade Element Momentum Theory

Marius L. Ruh; John T. Hwang

AIAA Journal (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

VFS Autonomous VTOL Technical Meeting, Mesa AZ, Jan 24–26 2023; preprint arXiv:2304.14889 (2023)

Generating Structural Weight Estimation Equations for a Category of UAM Aircraft

Shaadi Sabeti; Thomas Nascenzi; Timothy Cuatt; Tyler F. Winter; Marius L. Ruh; Darshan Sarojini; John T. Hwang

AIAA AVIATION 2023 Forum (2023)

Large-Scale Multidisciplinary Design Optimization of an eVTOL Aircraft Using Comprehensive Analysis

Darshan Sarojini; Marius L. Ruh; Mark Sperry; Jiayao Yan; Andrew Fletcher; Anugrah Jo Joshy; Luca Scotzniovsky; Alexander Ivanov; Nicholas Orndorff; Victor Gandarillas; Isaac Asher; Jeff Chambers; Hyunjune Gill; Seongkyu Lee; Zeyu Cheng; Gabriel Rodriguez; Shuofeng Zhao; Chunting Mi; Thomas Nascenzi; Timothy Cuatt; Tyler Winter; Alexandre Guibert; Ashley Cronk; Alicia Kim; Shirley Meng; John T. Hwang

AIAA SciTech 2023 Forum (2023)

Automatic adjoint sensitivity analysis of models for large-scale multidisciplinary design optimization

Mark Sperry; Kavish Kondap; John T. Hwang

AIAA AVIATION 2023 Forum (2023)

Integrating MBSE and MDO through an Extended Requirements-Functional-Logical-Physical (RFLP) Framework

Rajashekar Swaminathan; Darshan Sarojini; John T. Hwang

AIAA AVIATION 2023 Forum (2023)

Model Reduction of Isogeometric Shell Structures For Large-Scale Design Optimization

Sebastiaan P. van Schie; John T. Hwang

AIAA AVIATION 2023 Forum (2023)

Solver-Independent Aeroelastic Coupling For Large-Scale Multidisciplinary Design Optimization

Sebastiaan P. van Schie; Han Zhao; Jiayao Yan; Ru Xiang; John T. Hwang; David Kamensky

AIAA SCITECH 2023 Forum (2023)

Accelerating Model Evaluations in Uncertainty Propagation on Tensor Grids Using Computational Graph Transformations

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

Aerospace Science and Technology 145 (2024), p. 108843 (2023)

High-Dimensional Uncertainty Quantification Using Graph-Accelerated Non-Intrusive Polynomial Chaos and Active Subspace Methods

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

AIAA Aviation 2023 Forum (2023)

Optimally tensor-structured quadrature rule for uncertainty quantification

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

AIAA SCITECH 2023 Forum (2023)

Mission-Oriented Trajectory Optimization for Search-and-Rescue Multirotor UAVs in Cluttered and GPS-Denied Environments

Pengcheng Cao; John T. Hwang; Thomas R. Bewley; Falko Kuester

AIAA Aviation 2022 Forum (2022)

A hybrid architecture for large-scale system design optimization of PDE-based models

Anugrah Jo Joshy; Jiayao Yan; John T. Hwang

AIAA SCITECH 2022 Forum (2022)

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

Jui-Te Lin; Cedric Girerd; Jiayao Yan; John T. Hwang; Tania K. Morimoto

IEEE Transactions on Robotics (2022)

Investigation of Optimal Air-Taxi Transition Profiles using Direct-Transcription Trajectory Optimization

Nicholas C. Orndorff; John T. Hwang

AIAA AVIATION 2022 Forum (2022)

Multiple Optima in Abort Ascent during Lunar Powered Descent

Sergio A. Sandoval; Ping Lu; John T. Hwang; Jeremy R. Rea; Ronald R. Sostaric

AIAA SCITECH 2022 Forum (2022)

Efficient Uncertainty Propagation Through Computational Graph Modification and Automatic Code Generation

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

AIAA Aviation 2022 Forum (2022)

Equality-Constrained Engineering Design Optimization Using a Novel Inexact Quasi-Newton Method

Bingran Wang; Anugrah Jo Joshy; John T. Hwang

AIAA Journal (2022)

A frequency-domain-inspired reformulation of the unsteady vortex lattice method

Jiayao Yan; John T. Hwang

AIAA AVIATION 2022 Forum (2022)

Topology optimization with automated derivative computation for multidisciplinary design problems

Jiayao Yan; Ru Xiang; David Kamensky; Michael T. Tolley; John T. Hwang

Structural and Multidisciplinary Optimization (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

Computers & Mathematics with Applications (2022)

Modularization of High-Fidelity Static Aeroelastic MDO Enabling a Framework-based Optimization Approach for HPC

Thomas Backhaus; Sebastian Gottfried; Andrei Merle; John T. Hwang; Arthur Stueck

AIAA Scitech 2021 Forum (2021)

Unifying Monolithic Architectures for Large-Scale System Design Optimization

Anugrah Jo Joshy; John T. Hwang

AIAA Journal (2021)

Robust modeling and optimal design of rotors using blade element momentum theory

Marius L. Ruh; John T. Hwang

AIAA AVIATION 2021 FORUM (2021)

An Adaptive, Inexact Gradient-based Algorithm for Multidisciplinary Design Optimization

Bingran Wang; Anugrah Jo Joshy; John T. Hwang

AIAA AVIATION 2021 FORUM (2021)

Dynamic topology optimization of battery packs for eVTOL aircraft under time-dependent loading

Jiayao Yan; Mark Sperry; David Kamensky; John T. Hwang

AIAA AVIATION 2021 FORUM (2021)

Large-scale multidisciplinary optimization under uncertainty for electric vertical takeoff and landing aircraft

Tae H. Ha; Keunseok Lee; John T. Hwang

AIAA Scitech 2020 Forum (2020)

A new architecture for large-scale system design optimization

Anugrah Jo Joshy; John T. Hwang

AIAA AVIATION 2020 FORUM (2020)

Automatic generation of global shell-element meshes for large-scale structural design optimization

Ning Li; John T. Hwang

AIAA AVIATION 2020 FORUM (2020)

Multidisciplinary Design Optimization Framework with Coupled Derivative Computation for Hybrid Aircraft

Alessandro Sgueglia; Peter Schmollgruber; Nathalie Bartoli; Emmanuel Benard; Joseph Morlier; John Jasa; Joaquim R. R. A. Martins; John T. Hwang; Justin S. Gray

Journal of Aircraft (2020)

A Python surrogate modeling framework with derivatives

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

Advances in Engineering Software (2019)

Topology optimization in OpenMDAO

Hayoung Chung; John T. Hwang; Justin S. Gray; H. Alicia Kim

Structural and Multidisciplinary Optimization (2019)

OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization

Justin S. Gray; John T. Hwang; Joaquim R. R. A. Martins; Kenneth T. Moore; Bret A. Naylor

Structural and Multidisciplinary Optimization (2019)

High-Fidelity Design-Allocation Optimization of a Commercial Aircraft Maximizing Airline Profit

John T. Hwang; John P. Jasa; Joaquim R. R. A. Martins

Journal of Aircraft (2019)

An automated selection algorithm for nonlinear solvers in MDO

Shamsheer S. Chauhan; John T. Hwang; Joaquim R. R. A. Martins

Structural and Multidisciplinary Optimization (2018)

Implementation of topology optimization using openMDAO

Hayoung Chung; John T. Hwang; Justin S. Gray; Hyunsun A. Kim

2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2018)

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

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

ACM Transactions on Mathematical Software (2018)

A fast-prediction surrogate model for large datasets

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

Aerospace Science and Technology (2018)

Large-scale multidisciplinary optimization of an electric aircraft for on-demand mobility

John T. Hwang; Andrew Ning

2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2018)

Design and Trajectory Optimization of a Morphing Wing Aircraft

John P. Jasa; John T. Hwang; Joaquim R. R. A. Martins

2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2018)

Open-source coupled aerostructural optimization using Python

John P. Jasa; John T. Hwang; Joaquim R. R. A. Martins

Structural and Multidisciplinary Optimization (2018)

Solution of ordinary differential equations in gradient-based multidisciplinary design optimization

John T. Hwang; Drayton Munster

2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2018)

A novel approach to discrete truss design problems using mixed integer neighborhood search

Mohammad Shahabsafa; Ali Mohammad-Nezhad; Tamás Terlaky; Luis Zuluaga; Sicheng He; John T. Hwang; Joaquim R. R. A. Martins

Structural and Multidisciplinary Optimization (2018)

Reconfigurable model execution in the OpenMDAO framework

John T. Hwang

18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2017)

A Mixed Integer Efficient Global Optimization Algorithm for the Simultaneous Aircraft Allocation-Mission-Design Problem

Satadru Roy; Kenneth Moore; John T. Hwang; Justin S. Gray; William A. Crossley; Joaquim R. R. A. Martins

58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2017)

Kona: A Parallel Optimization Library for Engineering-Design Problems

Alp Dener; Pengfei Meng; Jason E. Hicken; Graeme Kennedy; John Hwang; Justin S. Gray

57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2016)

Allocation-mission-design optimization of next-generation aircraft using a parallel computational framework

John Hwang; Joaquim R. R. A. Martins

57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2016)

An unstructured quadrilateral mesh generation algorithm for aircraft structures

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

Aerospace Science and Technology (2016)

Multidisciplinary Design Optimization of Aircraft Configurations — Part 1: A Modular Coupled Adjoint Approach

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

Von Karman Institute for Fluid Dynamics Lecture Series, Sint-Genesius-Rode, Belgium, May 2016 (2016)

Optimization of 3D lattice cores in composite sandwich structures

John T Hwang; Craig A Steeves

Journal of Composite Materials (2015)

Parallel allocation-mission optimization of a 128-route network

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

16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2015)

Simultaneous aircraft allocation and mission optimization using a modular adjoint approach

John Hwang; Satadru Roy; Jason Kao; Joaquim R. R. A. Martins; William A. Crossley

56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2015)

Aerodynamic Shape Optimization of a Truss-Braced-Wing Aircraft

Davide Ivaldi; Ney R. Secco; Song Chen; John T. Hwang; Joaquim R. R. A. Martins

16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2015)

A modular adjoint approach to aircraft mission analysis and optimization

Jason Kao; John Hwang; Joaquim R. R. A. Martins; Justin S. Gray; Kenneth T. Moore

56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2015)

Automatic Evaluation of Multidisciplinary Derivatives Using a Graph-Based Problem Formulation in OpenMDAO

Justin S. Gray; Tristan A. Hearn; Kenneth T. Moore; John Hwang; Joaquim R. R. A. Martins; Andrew Ning

15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2014)

Efficient and Scalable Computational Design of a Small Satellite

John T. Hwang

28th AIAA/USU Conference on Small Satellites, 2014; SSC14-VIII-6 (3rd place, student paper competition — per CV) (2014)

Geometry and Structural Modeling for High-Fidelity Aircraft Conceptual Design Optimization

John Hwang; Gaetan Kenway; Joaquim R. R. A. Martins

15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2014)

Large-Scale Multidisciplinary Optimization of a Small Satellite’s Design and Operation

John T. Hwang; Dae Young Lee; James W. Cutler; Joaquim R. R. A. Martins

Journal of Spacecraft and Rockets (2014)

Large-Scale MDO of a Small Satellite using a Novel Framework for the Solution of Coupled Systems and their Derivatives

John Hwang; Dae Young Lee; James Cutler; Joaquim R. R. A. Martins

54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2013)

Review and Unification of Methods for Computing Derivatives of Multidisciplinary Computational Models

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

AIAA Journal (2013)

Simultaneous optimization of propeller–hull systems to minimize lifetime fuel consumption

M. Nelson; D.W. Temple; J.T. Hwang; Y.L. Young; J.R.R.A. Martins; M. Collette

Applied Ocean Research (2013)

A Dynamic Parametrization Scheme for Shape Optimization Using Quasi-Newton Methods

John Hwang; Joaquim R. R. A. Martins

50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition (2012)

GeoMACH: Geometry-Centric MDAO of Aircraft Configurations with High Fidelity

John Hwang; Joaquim R. R. A. Martins

12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2012)

Micromechanical Modeling and Design Optimization of 2-D Triaxial Braided Composites

John Hwang; Anthony Waas; Joaquim R. R. A. Martins

50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition (2012)

Review and Unification of Methods for Computing Derivatives of Multidisciplinary Systems

Joaquim Martins; John Hwang

53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA (2012)