Machine-learning-assisted prediction of magnetic double perovskites

Isovalent Cation Ordering in the Polar Rhombohedral Perovskite Bi2 FeAlO6

(2018) Chandan De et al.   ANGEWANDTE CHEMIE-INTERNATIONAL EDITION

High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds

(2016) Anton O. Oliynyk et al.   CHEMISTRY OF MATERIALS

A2B′B″O6 perovskites: A review

(2015) Sami Vasala et al.   PROGRESS IN SOLID STATE CHEMISTRY

Magnetism in Double Perovskites

(2012) T. Saha-Dasgupta   Journal of Superconductivity and Novel Magnetism

Electronic structure and phonons in La2CoMnO6: A ferromagnetic insulator driven by Coulomb-assisted spin-orbit coupling

(2011) Santu Baidya et al.   PHYSICAL REVIEW B

Compensated magnetism by design in double perovskite oxides

(2009) Victor Pardo et al.   PHYSICAL REVIEW B

Theoretical evidence and chemical origin of the magnetism-dependent electrostructural coupling inLa2NiMnO6

(2009) Hena Das et al.   PHYSICAL REVIEW B

Moderate to large magneto-optical signals in high Tc double perovskites

(2008) Hena Das et al.   APPLIED PHYSICS LETTERS

Evolutionary crystal structure prediction as a tool in materials design

(2008) Artem R Oganov et al.   JOURNAL OF PHYSICS-CONDENSED MATTER

Machine learning approach for structure-based zeolite classification

(2008) D. Andrew Carr et al.   MICROPOROUS AND MESOPOROUS MATERIALS

Magnetic and electronic properties of double perovskites and estimation of their Curie temperatures byab initiocalculations

(2008) Tapas Kumar Mandal et al.   PHYSICAL REVIEW B

CaCrO3: An Anomalous Antiferromagnetic Metallic Oxide

(2008) A. C. Komarek et al.   PHYSICAL REVIEW LETTERS

Electronic Structure, Phonons, and Dielectric Anomaly in Ferromagnetic Insulating Double PervoskiteLa2NiMnO6

(2008) Hena Das et al.   PHYSICAL REVIEW LETTERS