Luke P. J. Gilligan, Matteo Cobelli, Valentin Taufour, Stefano Sanvito, Author Correction: A rule-free workflow for the automated generation of databases from scientific literature, npj Computational Materials, 10, (1), 2024,
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Yudi Wang, Haoyang Pan, Yuxuan Jiang, Jie Li, Dongying Lin, Shi Li, Yongfeng Wang, Stefano Sanvito and Shimin Hou, High-performance molecular spin filters based on a square-planar four-coordinate Fe complex and covalent pyrazine anchoring groups, Journal of Materials Chemistry C, 12, 2024, p1297-1308 ,
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Cian Gabbett, Luke Doolan, Kevin Synnatschke, Laura Gambini, Emmet Coleman, Adam G. Kelly, Shixin Liu, Eoin Caffrey, Jose Munuera, Catriona Murphy, Stefano Sanvito, Lewys Jones and Jonathan N. Coleman, Quantitative analysis of printed nanostructured networks using high-resolution 3D FIB-SEM nanotomography,, Nature Communications, 15, 2024, p278-,
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Hugo Rossignol, Michail Minotakis, Matteo Cobelli and Stefano Sanvito, Machine-Learning-Assisted Construction of Ternary Convex Hull Diagrams, Journal of Chemical Information and Modeling, 2024,
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Bentria, E.T. and Shenai, P.M. and Sanvito, S. and Park, H. and Béland, L.K. and Laycock, N. and El Mellouhi, F., Computational demystification of iron carbonyls formation under syngas environment, npj Materials Degradation, 8, (1), 2024,
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Bajaj, A. and Gupta, R. and Tokatly, I.V. and Sanvito, S. and Droghetti, A., Ab initio transport theory for the intrinsic spin Hall effect applied to 5d metals, Physical Review B, 109, (19), 2024,
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Jiang, Y. and Li, S. and Wang, Y. and Sanvito, S. and Hou, S., Au-Thiolate Interfacial Coordination: The Key to Determining the Spin State of a Blatter Radical When Incorporated into Gold-Molecule-Gold Junctions, Journal of Physical Chemistry C, 128, (12), 2024, p5288-5299 ,
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Li, S. and Jiang, Y. and Wang, Y. and Lin, D. and Pan, H. and Wang, Y. and Sanvito, S. and Hou, S., Oxazine: an anchoring group serving as functional kernels to construct single-molecule switches, Journal of Materials Chemistry C, 12, (6), 2024, p2194-2202 ,
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Hazra, S. and Patil, U. and Sanvito, S., Predicting the One-Particle Density Matrix with Machine Learning, Journal of Chemical Theory and Computation, 2024,
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Abolade, S.A. and Akinpelu, S.B. and Obada, D.O. and Kumar R, S. and El-Mellouhi, F. and Sanvito, S. and Akande, A., Ab initio study of alkali-metal-based bismuth selenides (A BiSe2; A = K, Na) for photovoltaic and thermoelectric applications, Physical Review Materials, 8, (1), 2024,
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