RESEARCH PAPER · RSC Advances · 2026
Embedding-driven physics informed neural network for predicting optical constants across materials
Read original paper ↗See where this research leads.
1 direct citing papers in this saved network. Explore the next layer with second-order citations.
Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers Filters active
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
No journals match your search.
Most represented first · select one or moreExplore Terms In These PapersHide SuggestionsShow Suggestions
Original and current center papers stay visible as anchors.
No additional second-order papers found.42 direct citing works
A readable overviewMost-cited matching papers first. Filters and the list below search every saved direct citing paper.
CURRENT CENTER PAPERRinged node = current center · dark node = original paper
No citing papers match these filters. Change a term or clear filters to see the network again.
Paper details drag to move
citations received
Abstract From The Index
Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.
Browse Matching Papers
Papers that cite this work
1 direct citing papers saved.
High-Throughput full-spectrum characterization of semiconductor thin films via AD-accelerated physics-informed inversion: Demonstrations in Si and SiC epitaxy
Journal of Alloys and Compounds · 2026-08-28
Zhentao Li, Xiang Zhong, Zhong Jing, Xinge Liu
Read original paper ↗ ·