High-Throughput Computational Assessment of Previously Synthesized Semiconductors for Photovoltaic and Photoelectrochemical Devices
Source abstract
Abstract
Using computational screening we identify materials with potential use as light absorbers in photovoltaic or photoelectrochemical devices. The screening focuses on compounds of up to three different chemical elements which are abundant and nontoxic. A prescreening is carried out based on information from the Inorganic Crystal Structure Database and Open Quantum Materials Database. The light absorption, carrier mobility, defect tolerance, and stability of the materials are assessed by a set of simple computational descriptors. The identified 74 materials include a variety of pnictogenides, chalcogenides, and halides. Several recently investigated light absorbers, such as CsSnI 3, CsSnBr 3, and BaZrS 3, appear on the list.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Chalcogenide Semiconductor Thin Films · Machine Learning in Materials Science · Perovskite Materials and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Computational Atomic-scale Materials Design (CAMD), Department of Physics, Technical University of Denmark, DK - 2800 Kongens Lyngby, Denmark
Center for Nanostructured Graphene (CNG), Department of Physics, Technical University of Denmark, DK - 2800 Kongens Lyngby, Denmark
Funding
Danmarks Grundforskningsfond · Villum Fonden
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