journal article·2018-02-09Open access

High-Throughput Computational Assessment of Previously Synthesized Semiconductors for Photovoltaic and Photoelectrochemical Devices

Korina Kuhar, Mohnish Pandey, Kristian S. Thygesen, Karsten W. Jacobsen

ACS Energy Letters· Volume 3· Issue 2

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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