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Deep learning of surface elastic chemical potential in strained films: from s...
We develop a convolutional neural network (NN) approach able to predict the elastic contribution to chemical potential μₑ at the surface of a 2D strained film given its profile... -
Deep learning of surface elastic chemical potential in strained films: from s...
We develop a convolutional neural network (NN) approach able to predict the elastic contribution to chemical potential μₑ at the surface of a 2D strained film given its profile... -
Tunable Nanocomposite Thin Films: Novel Approaches for Resistive Vapor Sensin...
Raw data package for the dissertation -
Understanding the structure of constrained polymer thin-films: ¿artificial an...
The Mayes' group at UEA is world-leading in investigating core-shell nanoparticles as a promising format for 'synthetic antibodies', based on molecular imprinting. One of the... -
Revealing the structure and oxygen transport at interface in complex oxide he...
Vertically aligned nanocomposite (VAN) films, comprising nanopillars of one phase embedded in a matrix of another, have shown great promise for a range of applications due to... -
Ferroelectricity promoted by cation/anion divacancies in SrMnO3
We investigate the effect of polar Sr-O vacancy pairs on the electric polarization of SrMnO3 (SMO) thin films using density functional theory (DFT) calculations. This is... -
Li₄₋ₓGe₁₋ₓPₓO₄, a potential solid-state electrolyte for all-oxide microbatteries
Solid-state electrolytes for Li-ion batteries are attracting growing interest as they allow building safer batteries, also using lithium-metal anodes. Here, we studied a...