Work

Machine Learning Assisted Designing of Dyes and Oscillator Strength Prediction: Chemical Space Generation and Visualization

Year: 2025

Type: article

Source: ChemistrySelect

DOI: 10.1002/slct.202500223

Authors: Khadijah Mohammedsaleh Katubi, Norah Salem Alsaiari, Sumaira Naeem, M.S. Al‐Buriahi

Institutions: Princess Nourah bint Abdulrahman University, Baba Guru Nanak University, Sakarya University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4409922503

FWCI: 1.043

Cites: 57

Cited by: 5

Related to: 10