Full title: Collaborative Center for the Design and Research Of InterDisciplinary Systems (CC DROIDS)
Collaborating institutions: UC San Diego, University of Dayton
Relevant papers
- Luca Scotzniovsky, Nicholas C. Orndorff, Andrew H. Fletcher, Jason Kao, John T. Hwang. Large-Scale Multidisciplinary Design Optimization of a Blended Wing Body Aircraft Using Mid-Fidelity, Multi-Point Analysis. AIAA AVIATION 2026 Forum, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2042DOIPDF
@inproceedings{scotzniovsky2026large, author = {Luca Scotzniovsky and Nicholas C. Orndorff and Andrew H. Fletcher and Jason Kao and John T. Hwang}, title = {Large-Scale Multidisciplinary Design Optimization of a Blended Wing Body Aircraft Using Mid-Fidelity, Multi-Point Analysis}, booktitle = {AIAA AVIATION 2026 Forum}, year = {2026}, doi = {10.2514/6.2026-4247}, url = {https://doi.org/10.2514/6.2026-4247}, note = {Metadata verification: Crossref title} } - Andrew H. Fletcher, Hollis A. Smith, John T. Hwang. Efficient and Robust Enforcement of Geometric Non-Interference Constraints for Large-Scale Multidisciplinary Design Optimization. AIAA AVIATION 2026 Forum, AIAA 2026-4501 (AFRL public release), 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2044PDF
@inproceedings{fletcher2026efficient, author = {Andrew H. Fletcher and Hollis A. Smith and John T. Hwang}, title = {Efficient and Robust Enforcement of Geometric Non-Interference Constraints for Large-Scale Multidisciplinary Design Optimization}, booktitle = {AIAA AVIATION 2026 Forum, AIAA 2026-4501 (AFRL public release)}, year = {2026}, note = {Metadata verification: Crossref unavailable: HTTPError} } - Nicholas C. Orndorff, Christopher Lupp, John T. Hwang. A Distributed Algorithm for Large-Scale Multidisciplinary Design Optimization With Global Constraints. AIAA AVIATION 2026 Forum, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2045DOIPDF
@inproceedings{orndorff2026distributed, author = {Nicholas C. Orndorff and Christopher Lupp and John T. Hwang}, title = {A Distributed Algorithm for Large-Scale Multidisciplinary Design Optimization With Global Constraints}, booktitle = {AIAA AVIATION 2026 Forum}, year = {2026}, doi = {10.2514/6.2026-4500}, url = {https://doi.org/10.2514/6.2026-4500}, note = {Metadata verification: Crossref title} } - Mark Sperry, John T. Hwang. Multifidelity Surrogate Modeling for 3D Aerodynamic Flow Field Prediction Using Graph Neural Networks. AIAA AVIATION 2026 Forum, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2231DOIPDF
@inproceedings{sperry2026multifidelity, author = {Mark Sperry and John T. Hwang}, title = {Multifidelity Surrogate Modeling for 3D Aerodynamic Flow Field Prediction Using Graph Neural Networks}, booktitle = {AIAA AVIATION 2026 Forum}, year = {2026}, doi = {10.2514/6.2026-4802}, url = {https://doi.org/10.2514/6.2026-4802}, note = {Metadata verification: Crossref title} } - Michael Warner, John T. Hwang. Reduced Jacobian Supervision for Data-Efficient Operator Learning in High-Dimensional Design Spaces. AIAA AVIATION 2026 Forum, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2144DOIPDF
@inproceedings{warner2026reduced, author = {Michael Warner and John T. Hwang}, title = {Reduced Jacobian Supervision for Data-Efficient Operator Learning in High-Dimensional Design Spaces}, booktitle = {AIAA AVIATION 2026 Forum}, year = {2026}, doi = {10.2514/6.2026-4806}, url = {https://doi.org/10.2514/6.2026-4806}, note = {Metadata verification: Crossref title} } - Nicholas C. Orndorff, John T. Hwang. A Distributed Method for Solving Large-Scale Multidisciplinary Optimization Problems. AIAA AVIATION FORUM AND ASCEND 2025, 2025.DOIPDF
@inproceedings{orndorff2025distributed, author = {Nicholas C. Orndorff and John T. Hwang}, title = {A Distributed Method for Solving Large-Scale Multidisciplinary Optimization Problems}, booktitle = {AIAA AVIATION FORUM AND ASCEND 2025}, year = {2025}, doi = {10.2514/6.2025-3736}, url = {https://doi.org/10.2514/6.2025-3736}, note = {Metadata verification: Crossref title} } - Luca Scotzniovsky, John T. Hwang. A Fast, Memory-Efficient Panel Method for Large-Scale Multidisciplinary Design Optimization Under Uncertainty Using Graph-Based Modeling. AIAA AVIATION 2025 Forum, 2025.PDF
@inproceedings{scotzniovsky2025fast, author = {Luca Scotzniovsky and John T. Hwang}, title = {A Fast, Memory-Efficient Panel Method for Large-Scale Multidisciplinary Design Optimization Under Uncertainty Using Graph-Based Modeling}, booktitle = {AIAA AVIATION 2025 Forum}, year = {2025} } - Mark Sperry, John T. Hwang. Hybrid Training of Physics-Informed Neural Networks with Approximate Supervision. AIAA AVIATION 2025 Forum, 2025.PDF
@inproceedings{sperry2025hybrid, author = {Mark Sperry and John T. Hwang}, title = {Hybrid Training of Physics-Informed Neural Networks with Approximate Supervision}, booktitle = {AIAA AVIATION 2025 Forum}, year = {2025} }
This Air Force Research Laboratory collaborative center advances computational design methods for next-generation Air Force vehicles. Its focus includes electric vertical takeoff and landing and supersonic aircraft, using multidisciplinary design optimization.
Research connections