View in EDS

Enhanced Prediction of Absorption and Emission Wavelengths of Organic Compounds through Hybrid Graph Neural Network Architectures.

Saved in:
Bibliographic Details
Title: Enhanced Prediction of Absorption and Emission Wavelengths of Organic Compounds through Hybrid Graph Neural Network Architectures.
Authors: Nguyen DP; Faculty of Chemical and Food Technology, Ho Chi Minh City University of Technology and Education, 01 Vo Van Ngan, Thu Duc Ward, Ho Chi Minh City 71307, Vietnam., Le QM; Faculty of Chemical and Food Technology, Ho Chi Minh City University of Technology and Education, 01 Vo Van Ngan, Thu Duc Ward, Ho Chi Minh City 71307, Vietnam., Tran HTP; Faculty of Chemical and Food Technology, Ho Chi Minh City University of Technology and Education, 01 Vo Van Ngan, Thu Duc Ward, Ho Chi Minh City 71307, Vietnam., Le PT; Faculty of Chemical and Food Technology, Ho Chi Minh City University of Technology and Education, 01 Vo Van Ngan, Thu Duc Ward, Ho Chi Minh City 71307, Vietnam., Nguyen TVT; School of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, 41 Dinh Tien Hoang, Sai Gon Ward, Ho Chi Minh City 71006, Vietnam.
Source: ACS omega [ACS Omega] 2025 Oct 14; Vol. 10 (42), pp. 50643-50651. Date of Electronic Publication: 2025 Oct 14 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101691658 Publication Model: eCollection Cited Medium: Internet ISSN: 2470-1343 (Electronic) Linking ISSN: 24701343 NLM ISO Abbreviation: ACS Omega Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2470-1343
DOI:10.1021/acsomega.5c08722