Supplementary document for Non-local generative machine learning-based inverse design for scattering properties - 6464213.pdf

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.23301662.v3
Primary Topic
Electromagnetic Scattering and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Supplementary document for Non-local generative machine learning-based inverse design for scattering properties - 6464213.pdf

Figshare
Electromagnetic Scattering and Analysis
article

Supplementary document for Non-local generative machine learning-based inverse design for scattering properties - 6464213.pdf

article en

Abstract

No abstract available for this paper.
Figshare
Openalex Percentile: Top 56%
Electromagnetic Scattering and Analysis
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Supplementary document for Non-local generative machine learning-based inverse design for scattering properties - 6464213.pdf · Figshare (2025) | TGRS Research Map | TGRS