Detail

High-Throughput DFT data for screening of halide perovskite photocatalysts

Maitreyo Biswas, Arun Mannodi-Kanakkithodi

Year

2024

Source Name

c24443e8-75cd-48b0-a11a-fa4afdb5e688

License

Creative Commons Attribution 4.0

Contacts

biswasm@purdue.edu

DOI

10.18126/s5j2-a428 View on Datacite
The dataset contains a multi-fidelity dataset of PBE and HSE-PBE+SOC data which has been used to train the RGF ML model. This surrogate model have been used to predict and screen on a massive dataset of 151,140 novel halide perovskite alloy compoisitions. Another dataset also contains the 3043 screen halide perovskites found suitable for photocatalytic water splitting.