Field dossier · from the corpus
Inverse
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
Convolutional 2D Knowledge Graph Embeddings
Inverse design in nanophotonics
Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
Generative Model for the Inverse Design of Metasurfaces
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
From density functional theory to machine learning: Emerging paradigms in energy materials discovery
Generative Design for Alloys: Harnessing Generative Models for Faster Discovery
Data-Driven Design of HPDC Aluminum Alloys Using Machine Learning and Inverse Design
Topological features of lithium disilicate glass-ceramics uncovered through materials informatics
A data-driven integral equation approach for nonlinear inverse heat conduction problems with unknown thermophysical properties