An integrated AI-driven framework for maximizing the efficiency of heterostructured nanomaterials in photocatalytic hydrogen production

The urgency for sustainable and efficient hydrogen production has increased interest in heterostructured nanomaterials, known for their excellent photocatalytic properties. Traditional synthesis methods often rely on trial-and-error, resulting in inefficiencies in material discovery and optimization...

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Main Authors:	Belkhode, Pramod N., Awatade, Shrikant M., Prakash, Chander, Shelare, Sagar D., Marghade, Deepali, Gajghate, Sameer Sheshrao, Noor, M. M., Dennison, Milon Selvam
Format:	Article
Language:	en
Published:	Nature Research 2025
Subjects:	TJ Mechanical engineering and machinery
Online Access:	https://umpir.ump.edu.my/id/eprint/47540/1/J%202025%20SR%20Sameer%20M.M.Noor%20AI%20Nano%20Hydrogen%20RDU240117.pdf https://doi.org/10.1038/s41598-025-10785-6 https://umpir.ump.edu.my/id/eprint/47540/
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