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Designing interfaces in energy materials applications with firstprinciples calculations 被引量:4
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作者 Keith T.Butler gopalakrishnan sai gautam Pieremanuele Canepa 《npj Computational Materials》 SCIE EI CSCD 2019年第1期990-1001,共12页
Materials for energy-related applications,which are crucial for a sustainable energy economy,rely on combining materials that form complex heterogenous interfaces.Simultaneously,progress in computational materials sci... Materials for energy-related applications,which are crucial for a sustainable energy economy,rely on combining materials that form complex heterogenous interfaces.Simultaneously,progress in computational materials science in describing complex interfaces is critical for improving the understanding and performance of energy materials.Hence,we present an in-depth review of the physical quantities regulating interfaces in batteries,photovoltaics,and photocatalysts,that are accessible from modern electronic structure methods,with a focus on density functional theory calculations.For each energy application,we highlight unique approaches that have been developed to calculate interfacial properties and explore the possibility of applying some of these approaches across disciplines,leading to a unified overview of interface design.Finally,we identify a set of challenges for further improving the theoretical description of interfaces in energy devices. 展开更多
关键词 ENERGY INTERFACIAL UNIFIED
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Effect of exchange-correlation functionals on the estimation of migration barriers in battery materials 被引量:3
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作者 Reshma Devi Baltej Singh +1 位作者 Pieremanuele Canepa gopalakrishnan sai gautam 《npj Computational Materials》 SCIE EI CSCD 2022年第1期1533-1545,共13页
Facile ionic mobility within host frameworks is crucial to the design of high-energy-density batteries with high-power-densities,where the migration barrier(Em)is the governing factor.Here,we assess the accuracy and c... Facile ionic mobility within host frameworks is crucial to the design of high-energy-density batteries with high-power-densities,where the migration barrier(Em)is the governing factor.Here,we assess the accuracy and computational performance of generalized gradient approximation(GGA),the strongly constrained and appropriately normed(SCAN),and their Hubbard U corrections,GGA+U and SCAN+U,within the density functional theory-nudged elastic band framework,in the prediction of Em as benchmarked against experimental data.Importantly,we observe SCAN to be more accurate than other frameworks,on average,albeit with higher computational costs and convergence difficulties,while GGA is a feasible choice for“quick”and“qualitative”Em predictions.Further,we quantify the sensitivity of Em with adding uniform background charge and/or the climbing image approximation in solid electrolytes,and the Hubbard U correction in electrodes.Our findings will improve the quality of Em predictions which will enable identifying better materials for energy storage applications. 展开更多
关键词 CORRECTION HUBBARD APPROXIMATION
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