Xie Zhang 1*
1 School of Materials Science and Engineering, Northwestern Polytechnical University,
Xi'an 710072, China;
EXTENDED ABSTRACT: Deep-ultraviolet (DUV) light emitters are widely applied in medical sterilization, military communication, biological sensing, and chemical analysis. The state-of-the-art DUV light emitters are AlN-based alloys. Despite the fact that these materials have been commercialized, they still suffer from low emission efficiency, high fabrication cost, and limited compositional and configurational space for materials design. The design of novel DUV light emitters is thus highly important.
It is challenging to design novel DUV light emitters based on the conventional trial-and-error approach. On the one hand, it requires sophisticated understandings of the intrinsic limitations of these materials, which are unfortunately still unclear. On the other hand, this type of design is often blind, requiring lots of efforts. High-throughput materials screening and design based on first-principles calculations can help us focus on a small group of potential candidates. With further systematic experimental characterizations, high-performance DUV light emi甘ers may be identified.
Therefore, we constructed a high-throughput computational screening scheme for DUV light emitters. Based on general materials databases and a set of strict and complete screening criteria, we first narrowed the scope down to hundreds of candidates. Using further rigorous first-principles calculations of electronic structure and carrier radiative recombination rates, we have finally identified a few candidates that are comparable to or better than AlN. This research work is expected to guide the experimental synthesis of novel DUV light emitters, and to further improve their emission efficiency.
Keywords: Deep-ultraviolet light emitters; computational design; high-throughput screening;
Xie Zhang, Professor in the School of Materials Science and Engineering at the Northwestern Polytechnical University and recipient of the National Talented Youth Program. Dr. Zhang received his PhD in 2015 from the Max-Planck-Institut fiir Eisenforschung GmbH (MPIE) and Ruhr-Universitiit Bochum (Supervisor: Prof. Jorg Neugebauer). He further worked as a postdoctoral researcher at MPIE (2015-2016) and at the University of California Santa Barbara (UCSB) (2017-2020, Supervisor: Prof. Chris G. Van de Walle). Dr. Zhang focuses on computational design of advanced structural and energy material. In recent years, he has published a series of high-profile papers in Nature Materials, Nature Computational Science, Physical Review Letters, Nature Communications, and Advanced Energy Materials. He received the Outstanding Research Achievements award by the UCSB SSLEEC in 2018 and the Early Career Award in High-performance Scientific Computing by NERSC in 2019. He was an invited speaker at the APS March Meetings in 2019 and 2021. He currently serves as a member of the Associate Editorial Board of "Materials Research Letters".