Cover Image

GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mu, Haoxuan Dylan, Tang, Mingjian, Gao, Wei, Chen, Wei "Wayne"
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAG: A Random-Forest-Based Generative Design Framework for Uncertainty-Aware Design of Metamaterials with Complex Functional Response Requirements
by: Chen, Bolin, et al.
Published: (2026)

Dflow-SUR: Enhancing Generative Aerodynamic Inverse Design using Differentiation Throughout Flow Matching
by: Yang, Aobo, et al.
Published: (2025)

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
by: Zheng, Jiahui, et al.
Published: (2025)

Compositional Generative Inverse Design
by: Wu, Tailin, et al.
Published: (2024)

A Black Box Variational Inference Scheme for Inverse Problems with Demanding Physics-Based Models
by: Rei, G. Robalo, et al.
Published: (2025)

Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics
by: Chen, Zijun, et al.
Published: (2024)

Scalable Active Metamaterials for Shape-Morphing
by: Cui, Jipeng, et al.
Published: (2026)

Uncertainty Analysis of Limit Cycle Oscillations in Nonlinear Dynamical Systems with the Fourier Generalized Polynomial Chaos Expansion
by: de Jong, Lars, et al.
Published: (2024)

Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design
by: Khan, Shahroz, et al.
Published: (2024)

Structure-Aware Antibody Design with Affinity-Optimized Inverse Folding
by: Zhao, Xinyan, et al.
Published: (2025)

Design and Optimization of Functionally-graded Triangular Lattices for Multiple Loading Conditions
by: Wang, Junpeng, et al.
Published: (2024)

An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
by: Chiappetta, Mihaela, et al.
Published: (2026)

Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier
by: Park, Jaewan, et al.
Published: (2024)

Rapid Estimation of Left Ventricular Contractility with a Physics-Informed Neural Network Inverse Modeling Approach
by: Naghavi, Ehsan, et al.
Published: (2024)

Data-Driven Multiscale Topology Optimization of Soft Functionally Graded Materials with Large Deformations
by: Deng, Shiguang, et al.
Published: (2025)

Sensor Informativeness, Identifiability, and Uncertainty in Bayesian Inverse Problems for Structural Health Monitoring
by: Bakeer, Tammam, et al.
Published: (2025)

Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials under Heterogeneous Fields
by: Lee, Doksoo, et al.
Published: (2023)

Reliability-Based Design Optimization Incorporating Extended Optimal Uncertainty Quantification
by: Miska, Niklas, et al.
Published: (2024)

CICDWOA: A Collective Cognitive Sharing Whale Optimization Algorithm with Cauchy Inverse Cumulative Distribution for 2D/3D Path Planning and Engineering Design Problems
by: Wei, Junhao, et al.
Published: (2026)

Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations
by: Zaghen, Olga, et al.
Published: (2026)

ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability
by: Wang, Xiangwen, et al.
Published: (2025)

Foundation Model for Composite Microstructures: Reconstruction, Stiffness, and Nonlinear Behavior Prediction
by: Wei, Ting-Ju, et al.
Published: (2024)

Multi-Physics Inverse Design of Varifocal Optical Devices using Data-Driven Surrogates and Differential Modeling
by: Jin, Zeqing, et al.
Published: (2025)

PILL-CoDe: Inverse Design of Polypills via Automatic Differentiation for Prescribed Drug-Release Kinetics
by: Padhy, Rahul Kumar, et al.
Published: (2025)

Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory
by: Jin, Sizhuo, et al.
Published: (2024)

Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty
by: Partovizadeh, Aylar, et al.
Published: (2025)

ChemZIP: Accelerated Modeling of Complex Aerothermochemical Interactions in Novel Turbomachines for Sustainable High-Temperature Chemical Processes
by: Rubini, Dylan, et al.
Published: (2025)

Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
by: Wei, Yinyi, et al.
Published: (2025)

AFBench: A Large-scale Benchmark for Airfoil Design
by: Liu, Jian, et al.
Published: (2024)

Statistical Design of Thermal Protection System Using Physics-Informed Machine learning
by: Lyathakula, Karthik Reddy
Published: (2025)

Statistical Design of Thermal Protection System Using Physics-Informed Neural Network
by: Lyathakula, Karthik Reddy, et al.
Published: (2025)

Data-Driven Topology Optimization for Multiscale Biomimetic Spinodal Design
by: Deng, Shiguang, et al.
Published: (2025)

Chance-Constrained Optimal Design of Porous Thermal Insulation Systems Under Spatially Correlated Uncertainty
by: Singh, Pratyush Kumar, et al.
Published: (2025)

Transfer Learning-Based Surrogate Modeling for Nonlinear Time-History Response Analysis of High-Fidelity Structural Models
by: Ishikawa, Keiichi, et al.
Published: (2025)

Transfer-learned Kolosov-Muskhelishvili Informed Neural Networks for Fracture Mechanics
by: Zhou, Shuwei, et al.
Published: (2026)

Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity
by: He, Junyan, et al.
Published: (2024)

AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation
by: Zou, Junhong, et al.
Published: (2026)

PINN-MG: A physics-informed neural network for mesh generation
by: Wang, Min, et al.
Published: (2025)

Energy-Adaptive Checkpoint-Free Intermittent Inference for Low Power Energy Harvesting Systems
by: Islam, Sahidul, et al.
Published: (2025)

Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
by: Zhang, Zezhong, et al.
Published: (2025)