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Nano Letters|May 11, 2021
Exceptional Radiation Absorption in a Pentagon-Based Si AllotropeAlejandro Lopez-Bezanilla, Peter B Littlewood
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 16, 2013
Quasi-one-dimensional thermal breakageCristiano Nisoli, Douglas Abraham, Turab Lookman, et al.
Physical Review Letters|August 8, 2009
Thermal stability of strained nanowiresCristiano Nisoli, Douglas Abraham, Turab Lookman, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 25, 2004
Viscoelastic properties of dynamically asymmetric binary fluids under shear flowVinay Dwivedi, Rajeev Ahluwalia, Turab Lookman, et al.
Nature Communications|April 28, 2018
Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learningPrasanna V Balachandran, Benjamin Kowalski, Alp Sehirlioglu, et al.
The Journal of Physical Chemistry Letters|August 14, 2015
Electronic and Quantum Transport Properties of Atomically Identified Si Point Defects in GrapheneAlejandro Lopez-Bezanilla, Wu Zhou, Juan-Carlos Idrobo
Scientific Reports|September 14, 2016
Heptagraphene: Tunable Dirac Cones in a Graphitic StructureAlejandro Lopez-Bezanilla, Ivar Martin, Peter B Littlewood
Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials|October 6, 2017
Predicting displacements of octahedral cations in ferroelectric perovskites using machine learningPrasanna V Balachandran, Toby Shearman, James Theiler, et al.
Journal of Chemical Information and Modeling|November 8, 2019
Machine-Learning-Based Predictive Modeling of Glass Transition Temperatures: A Case of Polyhydroxyalkanoate Homopolymers and CopolymersGhanshyam Pilania, Carl N Iverson, Turab Lookman, et al.
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