Field dossier · from the corpus
Inverse problem
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
Inverse design in nanophotonics
Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
Generative Model for the Inverse Design of Metasurfaces
Plasmonic nanostructure design and characterization via Deep Learning
Physics-informed neural networks for inverse problems in nano-optics and metamaterials
Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy
Recent work · 2024 onward
Deep learning-driven innovation in metallic materials: A comprehensive review on microstructure analysis, property prediction, and inverse design
Data-Driven Design of HPDC Aluminum Alloys Using Machine Learning and Inverse Design
A data-driven integral equation approach for nonlinear inverse heat conduction problems with unknown thermophysical properties
Inverse analysis of a loaded heat conduction equation
Numerical-Analytic Method for Solving Nonstationary Nonlinear Problems of Heat Conduction for Multilayer Plates
Inverse design of high-performance glasses through an encoder-decoder machine learning approach toward materials discovery: Application to oxynitride glasses