Cover Image

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Long, Oezkaya, Emre, Rottmayer, Jan, Gauger, Nicolas R., Shen, Zebang, Ye, Yinyu
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adjoint Sensitivities for the Optimization of Nonlinear Structural Dynamics via Spectral Submanifolds
by: Pozzi, Matteo, et al.
Published: (2025)

Unsupervised Learning for AC Optimal Power Flow with Fast Physics-Aware Layer
by: Zhang, Jiebao, et al.
Published: (2026)

Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing
by: Guidetti, Xavier, et al.
Published: (2024)

Optimal Battery Charge Scheduling For Revenue Stacking Under Operational Constraints Via Energy Arbitrage
by: Puech, Alban, et al.
Published: (2023)

Parameter conditioned interpretable U-Net surrogate model for data-driven predictions of convection-diffusion-reaction processes
by: Kastor, Michael Urs Lars, et al.
Published: (2026)

Optimized Equivalent Linearization for Random Vibration
by: Wang, Ziqi
Published: (2022)

Circle Packing Problem Using Nature-Inspired Optimization Techniques
by: Mundra, Pulkit, et al.
Published: (2024)

Finite Strain Robust Topology Optimization Considering Multiple Uncertainties
by: Feng, Nan, et al.
Published: (2025)

Identifying Self-Amplifying Hypergraph Structures through Mathematical Optimization
by: Blanco, Víctor, et al.
Published: (2024)

FlashFolio: A GPU-Accelerated Solver for Portfolio Optimization
by: Jiang, Yilun, et al.
Published: (2026)

Mean-Variance Optimization and Algorithm for Finite-Horizon Markov Decision Processes
by: Xia, Li, et al.
Published: (2025)

Resource Allocation under Stochastic Demands using Shrinking Horizon Optimization
by: Tzikas, Alexandros E., et al.
Published: (2025)

An Ising Machine Formulation for Design Updates in Topology Optimization of Flow Channels
by: Suzuki, Yudai, et al.
Published: (2024)

Accelerating shape optimization by deep neural networks with on-the-fly determined architecture
by: Kubíčková, Lucie, et al.
Published: (2025)

A Scoping Review on Simulation-based Design Optimization in Marine Engineering: Trends, Best Practices, and Gaps
by: Serani, Andrea, et al.
Published: (2024)

Joint Chance-constrained Game for Coordinating Renewable Microgrids with Service Delivery Risk: A Bayesian Optimization Approach
by: Ding, Yifu, et al.
Published: (2023)

Robust Radiotherapy Planning with Spatially Based Uncertainty Sets
by: Goldberg, Noam, et al.
Published: (2024)

Optimizing Perishable and Non-Perishable Product Assignment to Packaging Lines in a Sustainable Manufacturing System: An AUGMECON2VIKOR Algorithm
by: Shahabi-Shahmiri, Reza, et al.
Published: (2024)

Isogeometric Topology Optimization Based on Topological Derivatives
by: Teixeira, Guilherme Henrique, et al.
Published: (2025)

Adaptive Partitioning Strategy for High-Dimensional Discrete Simulation-based Optimization Problems
by: Lu, Jing, et al.
Published: (2021)

LLM-Enhanced, Data-Driven Personalized and Equitable Clinician Scheduling: A Predict-then-Optimize Approach
by: Jha, Anjali, et al.
Published: (2025)

A Machine Learning Enabled MDO for Bio-Inspired Autonomous Underwater Gliders
by: Serani, Andrea, et al.
Published: (2026)

A Tax-Efficient Model Predictive Control Policy for Retirement Funding
by: Johansson, Kasper, et al.
Published: (2025)

Accelerating Fleet Upgrade Decisions with Machine-Learning Enhanced Optimization
by: Chai, Kenrick Howin, et al.
Published: (2025)

Learning to Trust AI and Data-driven models in Data Assimilation through a Multifidelity Ensemble Gaussian Mixture Filter Framework
by: Popov, Andrey A.
Published: (2026)

Surrogate-Based Co-Design Coupling Analysis for Floating Offshore Wind Turbines
by: Bravo, Elena Fernandez, et al.
Published: (2026)

Regularization in Space-Time Topology Optimization for Multi-Axis Additive Manufacturing
by: Wang, Weiming, et al.
Published: (2024)

Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models
by: Yadav, Akash, et al.
Published: (2025)

Base Models for Parabolic Partial Differential Equations
by: Xu, Xingzi, et al.
Published: (2024)

Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas
by: Chaudhuri, Anirban, et al.
Published: (2023)

An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis
by: Amusat, Oluwamayowa O., et al.
Published: (2026)

Airfoil Optimization using Design-by-Morphing
by: Sheikh, Haris Moazam, et al.
Published: (2022)

Scale-invariant projection optimization in tomographic volumetric additive manufacturing
by: Woo, Seungpyo, et al.
Published: (2026)

Optimal design of frame structures with mixed categorical and continuous design variables using the Gumbel-Softmax method
by: Ebrahimi, Mehran, et al.
Published: (2024)

Multimaterial topology optimization for finite strain elastoplasticity: theory, methods, and applications
by: Jia, Yingqi, et al.
Published: (2025)

A Generic Workforce Scheduling and Routing Problem with the Vehicle Sharing and Drop-off and Pick-up Policies
by: Öztürkoğlu, Ömer, et al.
Published: (2023)

Bike network planning in limited urban space
by: Wiedemann, Nina, et al.
Published: (2024)

Estimating profitable price bounds for prescriptive price optimization
by: Inokuma, Masato, et al.
Published: (2025)

Achieving binary topology optimization solutions via automatic projection parameter increase
by: Dunning, Peter Donald
Published: (2024)

Hybrid Quantum-Classical Branch-and-Price for Intra-Day Electric Vehicle Charging Scheduling via Partition Coloring
by: Sun, Peng, et al.
Published: (2026)