Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review
The rapid progression of industrial revolution has contributed to an increase in greenhouse gases (GHGs) emission, particularly carbon dioxide (CO2), exacerbating global warming and placing unwanted pressure on limited energy resources, ultimately causing energy scarcity. Achieving carbon neutrality...
Saved in:
Main Authors: | Md Mohshin Ali, Md. Arif Hossen, Azrina Abd Aziz |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-07-01
|
Series: | Next Materials |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2949822825000401 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Microenvironment modulation of TiO2 nanosheets for highly selective photocatalytic CO2 reduction
by: Xingxing Zheng, et al.
Published: (2025-02-01) -
Transition of BiOCl nanosheet into cotton-like clusters for piezoelectric enhanced photocatalytic degradation of dye and photocatalytic hydrogen production
by: Zheng Luo, et al.
Published: (2025-03-01) -
Electrocatalytic CO Reduction to Produce Long‐chain Products Through Fischer‐Tropsch Pathway
by: Bo Cao, et al.
Published: (2025-02-01) -
Photocatalytic Degradation of E.Coli Bacteria by Graphitic Carbon Nitride Photocatalysts under Visible Light Irradiation
by: Zahra Ahmadi Panah, et al.
Published: (2024-08-01) -
Photoreduction of CO2 to Formic Acid in Aquatic Phase Using Layer Double Hydroxide (LDH) Catalyst
by: Jenny Rizkiana, et al.
Published: (2024-12-01)