Results 21 to 30 of about 5,175 (259)

Strong Electron–Phonon Coupling Induced Self‐Trapped Excitons in Double Halide Perovskites

open access: yesAdvanced Energy & Sustainability Research, 2023
Double halide perovskites exhibit impressive potential for the self‐trapped exciton (STEs) luminescence. However, the detailed mechanism of the physical nature during the formation process of STEs in double perovskites is still ambiguous.
Baian Chen, Rui Chen, Bolong Huang
doaj   +1 more source

Machine learning bandgaps of double perovskites [PDF]

open access: yesScientific Reports, 2016
AbstractThe ability to make rapid and accurate predictions on bandgaps of double perovskites is of much practical interest for a range of applications. While quantum mechanical computations for high-fidelity bandgaps are enormously computation-time intensive and thus impractical in high throughput studies, informatics-based statistical learning ...
G. Pilania   +5 more
openaire   +2 more sources

Two-Dimensional Halide Pb-Perovskite–Double Perovskite Epitaxial Heterostructures

open access: yesJournal of the American Chemical Society, 2023
Epitaxial heterostructures of two-dimensional (2D) halide perovskites offer a new platform for studying intriguing structural, optical, and electronic properties. However, difficulties with the stability of Pb- and Sn-based heterostructures have repeatedly slowed the progress.
Singh, Ajeet   +10 more
openaire   +3 more sources

Mathematical modeling of the perovskite and double perovskite crystal structures

open access: yesIzvestiya Vysshikh Uchebnykh Zavedenii. Materialy Elektronnoi Tekhniki = Materials of Electronics Engineering, 2022
The paper considers the problem of modeling materials with the crystal structure of perovskite and double perovskite. Due to the high complexity of obtaining micro- and nanoscale objects, data on the structure and properties of such materials are especially important.
openaire   +1 more source

Manipulation of parity and polarization through structural distortion in light-emitting halide double perovskites

open access: yesCommunications Materials, 2021
Halide perovskites recently attracted wide attention for light emitting applications. Here, octahedral distortion in halide double perovskites Cs2AgMCl6, induced by the mixture of trivalent M-cations Bi3+, In3+, and Sb3+, gives rise to enhanced white ...
Tamilselvan Appadurai   +5 more
doaj   +1 more source

Multiferroic Compounds with Double-Perovskite Structures [PDF]

open access: yesMaterials, 2011
New multiferroic compounds with double-perovskite structures were synthesized. Bi2NiMnO6 was synthesized in bulk form by high-pressure synthesis and also in a thin-film form by epitaxial growth. The material showed both ferromagnetic and ferroelectric properties, i.e., the multiferroic property at low temperature.
Shimakawa, Yuichi   +2 more
openaire   +2 more sources

(INVITED) Revisiting Duffy's model for Sb3+ and Bi3+ in double halide perovskites: Emergence of a descriptor for machine learning

open access: yesOptical Materials: X, 2021
The Duffy's model is reformulated for Sb3+ and Bi3+ in cubic chloro- and bromo-elpasolites with « 0D » perovskite structure. The new equation allows calculating the energy of the first s2 → s1p1 electron transition from crystal structure data. The Stokes
Philippe Boutinaud
doaj   +1 more source

Chemical tuning of a double double perovskite oxide [PDF]

open access: yesChemical Communications
Chemical tuning has been demonstrated for the first time in a double double perovskite. Ordering over five cation sites is preserved in LaxCa1−xMnMnReO6 ferrimagnets up to x ≥ 0.5 while La3+/Ca2+ substitution tunes magnetic properties.
Azizah Almadhi   +4 more
openaire   +3 more sources

Magnetic model for the ordered double perovskites [PDF]

open access: yesPhysical Review B, 2009
12 pages latex, 10 ...
Sanyal, Prabuddha, Majumdar, Pinaki
openaire   +2 more sources

Machine learning for perovskite materials design and discovery

open access: yesnpj Computational Materials, 2021
The development of materials is one of the driving forces to accelerate modern scientific progress and technological innovation. Machine learning (ML) technology is rapidly developed in many fields and opening blueprints for the discovery and rational ...
Qiuling Tao   +3 more
doaj   +1 more source

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