2012
DOI: 10.1039/c2ic90015g
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Computational modelling of inorganic solids

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Cited by 4 publications
(2 citation statements)
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“…This helps to unlock the exit of computing the overall properties of a wide range of materials that once appeared prohibitively impossible. Massive material projects are progressively built within the commitment of characterization and knowledge extraction criteria, to identify potential candidates for future‐generation technologies . It is a well‐established fact that the modification of the structural or electronic distribution in transition metal alloys via the chemical component substitution/doping leads to the production of new materials with magnificent and multifunctional properties .…”
Section: Introductionmentioning
confidence: 99%
“…This helps to unlock the exit of computing the overall properties of a wide range of materials that once appeared prohibitively impossible. Massive material projects are progressively built within the commitment of characterization and knowledge extraction criteria, to identify potential candidates for future‐generation technologies . It is a well‐established fact that the modification of the structural or electronic distribution in transition metal alloys via the chemical component substitution/doping leads to the production of new materials with magnificent and multifunctional properties .…”
Section: Introductionmentioning
confidence: 99%
“…A tremendous increase in simulation power, along with algorithmic improvements in quantum theory allows one to have well-organized and exact quantum mechanical calculations. This has hence stretched the computing power to such extent that those properties of materials which were once observed extremely difficult are now easily being calculated with a great precision [1,2]. From last few years work on perovskites especially double perovskites has geared up due to their vast technological applications and displaying multifunctional properties.…”
Section: Introductionmentioning
confidence: 99%