Work

Data-driven explainable artificial intelligence models for predicting CO2 uptake in metal–organic frameworks

Year: 2026

Type: article

Source: Environmental Science and Pollution Research

DOI: 10.1007/s11356-026-37725-9

Authors: Mohd Azfar Shaida, Laiba Saleem, Syed Ali Waqas Ahmad, Saad Shamim Ansari, Syed Muhammad Ibrahim

Institutions: Aligarh Muslim University, Warsaw University of Technology, Wrocław University of Science and Technology

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W7150728004

FWCI: 1.385

Cites: 43

Cited by: 1

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