PhD defense: Yatong Wang
Yatong will his doctoral thesis titled Data-driven discovery of 2D materials as photocatalysts for water splitting on Monday July 1, 2024, at 13:30 in TU/e Atlas building room 0.710.
June 14, 2024
PhD defense: Yatong Wang
Yatong will his doctoral thesis titled Data-driven discovery of 2D materials as photocatalysts for water splitting on Monday July 1, 2024, at 13:30 in TU/e Atlas building room 0.710.
May 2, 2024
Publication in The Journal of Physical Chemistry Letters
We have developed a new screening methodology using the V2DB digital library to accelerate the discovery of two-dimensional materials for solar water splitting. This method employs a multi-stage approach, including machine learning predictions and advanced theoretical calculations, identifying 11 promising photocatalysts. The paper titled is titled ML-Aided Computational Screening of 2D Materials for Photocatalytic Water Splitting and is published in The Journal of Physical Chemistry Letters. Its pre-print version is freely accessible on ChemRxiv.
February 21, 2024
Publication in ACS Catalysis
AI and physics simulations reveal 16 new direct-gap 2D semiconducting materials with potential for enhancing water photocatalysis in hydrogen (H2) production. Our research paper titled Data-Driven Discovery of Intrinsic Direct-Gap 2D Materials as Potential Photocatalysts for Efficient Water Splitting is published in ACS Catalysis. Its pre-print version is freely accessible on ChemRxiv.
April 6, 2023
Poster presentation at NWO Physics
Yatong Wang, who is a PhD researcher at our [AMD] group, has presented a poster at the annual Dutch Research Council (NWO) Physics Conference on April 4th, 2023. Yatong’s poster had the title of ML-assisted computational discovery of 2D materials for H2 production. The poster has been well-received though a broad community of researchers and visitors of the conference.