Compression Eliminates Charge Traps by Stabilizing Perovskite Grain Boundary Structures: An Ab Initio Analysis with Machine Learning Force Field-Reference-Cited by-同舟云学术

Compression Eliminates Charge Traps by Stabilizing Perovskite Grain Boundary Structures: An Ab Initio Analysis with Machine Learning Force Field

Published:2024-03-12 Issue:6 Volume:36 Page:2898-2906
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Liu Dongyu¹^ORCID,Wu Yifan²^ORCID,Samatov Mikhail R.¹,Vasenko Andrey S.¹³^ORCID,Chulkov Evgueni V.³⁴⁵,Prezhdo Oleg V.²⁶^ORCID

Affiliation:

1. HSE University, 101000 Moscow, Russia

2. Department of Chemistry, University of Southern California, Los Angeles California 90089, United States

3. Donostia International Physics Center (DIPC), 20018 San Sebastián - Donostia, Euskadi, Spain

4. Centro de Física de Materiales (CFM-MPC), Centro Mixto CSIC-UPV/EHU, 20018 San Sebastián - Donostia, Euskadi, Spain

5. Departamento de Polímeros y Materiales Avanzados: Física, Química y Tecnología, Facultad de Ciencias Químicas, Universidad del País Vasco UPV/EHU, 20080 San Sebastián - Donostia, Euskadi, Spain

6. Department of Physics & Astronomy, University of Southern California, Los Angeles California 90089, United States

Funder

Division of Chemistry

National Research University Higher School of Economics

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.3c03261

Reference87 articles.

1. Compositional, Processing, and Interfacial Engineering of Nanocrystal- and Quantum-Dot-Based Perovskite Solar Cells

2. High-Efficiency Perovskite Solar Cells

3. Achieving Resistance against Moisture and Oxygen for Perovskite Solar Cells with High Efficiency and Stability

4. Data-driven design of novel halide perovskite alloys

5. Engineering ligand reactivity enables high-temperature operation of stable perovskite solar cells

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