David Bahr’s Post

View profile for David Bahr, graphic

Blacutt-Underwood Head of Materials Engineering, Purdue University

It's #FreePaperFriday, and I'd like to share a paper about finding materials to make hydrogen via water splitting. Hydrogen can be a carbon-free way to provide energy (either combustion or in fuel cells), but where the H comes from is the key to that "can be". Splitting H from water using solar energy (photocatalytic processes) is an exciting opportunity to create H2 as a carrier, but there hasn't been a material that has "won" yet and splits water efficiently. At Purdue University School of Materials Engineering Prof. Arun Mannodi Kanakkithodi and his graduate students Maitreyo Biswas and Rushik Desai used a machine learning approach to screen bazillions (ok, I made that up, more like 150,000) of dopant combinations in halide perovskites that could create a material with the right band gap for water splitting. The rapid screening methods they present were then checked using DFT in more detail, materials with efficiencies of almost 25% were predicted, and I hope researchers will be working on fabricating these for experimental testing in the future. https://lnkd.in/g4MGz_2F

Screening of novel halide perovskites for photocatalytic water splitting using multi-fidelity machine learning

Screening of novel halide perovskites for photocatalytic water splitting using multi-fidelity machine learning

pubs.rsc.org

Jeongwon Park

Associate Professor, Electrical Engineering & Biomedical Engineering

3mo

Thanks for sharing! I appreciate it!

Like
Reply

To view or add a comment, sign in

Explore topics