Citation notice #890 · 2026-07-11 03:18:51.499398+00:00
Anisotropic Defect Diffusion in Layered CsPbBr$_\mathrm{x}$I$_\mathrm{3-x}$ Perovskites
cites How Fast Do Defects Migrate in Halide Perovskites: Insights from on-the-Fly Machine-Learned Force Fields , shorttitle =, which carries a correction notice dated 2024-02-23. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · citation context · bibliography index 57
Compound Defects in Halide Per- ovskites: A First-Principles Study of CsPbI 3. J. Phys. Chem. C2023,127, 1189-1197. (56) Goldmann, B. A.; Rosenbach, C.; Evans, H. A.; Helm, B.; Wankmiller, B.; Maus, O.; Suard, E.; Nazar, L. F.; Hansen, M. R.; Morgan, B. J.; Islam, M. S.; Zeier, W. G. Rotational Stacking Faults in the Ionic Conductor Li 3ScCl6.Chem. Mater. 2025, (57) Krenzer, G.; Klarbring, J.; Tolborg, K.; Rossignol, H.; McCluskey, A. R.; Mor- gan, B. J.; Walsh, A. Nature of the Supe- rionic Phase Transition of Lithium Nitride from Machine Learning Force Fields.Chem. Mater.2023,35, 6133-6140. (58) Wilke, K.; Tao, S.; Calero, S.; Lervik, A.; van Erp, T. S. NaCl Dissociation Explored Through Predictive Power Path Sampling
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1039/d3cc00953j
- Notice DOI
- 10.1039/d4cc90066a
- Date
- 2024-02-23
- Title
- Correction: How fast do defects migrate in halide perovskites: insights from on-the-fly machine-learned force fields
- Reasons
- ['Correction']
- Work
- How Fast Do Defects Migrate in Halide Perovskites: Insights from on-the-Fly Machine-Learned Force Fields , shorttitle = (?) Chemical Communications
03Dispute this notice
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