activity
20142023
most citedAtomistic origins of high-performance in hybrid halide perovskite solar cells

2.4k citations · 6k across the 20 of their papers we have counts for

collaborators

20 papers

cond-mat.mtrl-sci2023

Element similarity in high-dimensional materials representations

Anthony Onwuli, Ashish V. Hegde, Kevin Nguyen +2

The traditional display of elements in the periodic table is convenient for the study of chemistry and physics. However, the atomic number alone is insufficient for training statis…

cond-mat.mtrl-sci2022

Spinel nitride solid solutions: charting properties in the configurational space with explainable machine learning

Pablo Sánchez-Palencia, Said Hamad, Pablo Palacios +2

Ab initio prediction of the variation of properties in the configurational space of solid solutions is computationally very demanding. We present an approach to accelerate these pr…

cond-mat.mtrl-sci2022★ 4 cited

Co-substituted BiFeO3: electronic, ferroelectric, and thermodynamic properties from first principles

Shivani Grover, Keith T. Butler, Umesh V Waghmare +1

Bismuth ferrite, BiFeO3, is a multiferroic solid that is attracting increasing attention as a potential photocatalytic material, because the ferroelectric polarisation enhances the…

cond-mat.mtrl-sci2021★ 14 cited

Mixed-anion mixed-cation perovskite (FAPbI)(MAPbBr): an ab-initio molecular dynamics study

Eduardo Menéndez-Proupin, Shivani Grover, Ana L. Montero-Alejo +3

Mixed-anion mixed-cation perovskites with (FAPbI)(MAPbBr) composition have allowed record efficiencies in photovoltaic solar cells, but their atomic-scale behav…

cond-mat.mtrl-sci2021★ 16 cited

Ultralow Work Function of the Electride SrCrN

Cuicui Wang, Miaoting Xu, Keith T. Butler +1

Electrides have valence electrons that occupy free space in the crystal structure, making them easier to extract. This feature can be used in catalysis for important reactions that…

cond-mat.mtrl-sci2021

Distributed Representations of Atoms and Materials for Machine Learning

Luis M. Antunes, Ricardo Grau-Crespo, Keith T. Butler

The use of machine learning is becoming increasingly common in computational materials science. To build effective models of the chemistry of materials, useful machine-based repres…

cond-mat.mtrl-sci2020★ 65 cited

Modelling the dielectric constants of crystals using machine learning

Kazuki Morita, Daniel W. Davies, Keith T. Butler +1

The relative permittivity of a crystal is a fundamental property that links microscopic chemical bonding to macroscopic electromagnetic response. Multiple models, including analyti…

cond-mat.mes-hall2019★ 2 cited

Quantum-statistical transport phenomena in memristive computing architectures

Christopher N. Singh, Brian A. Crafton, Mathew P. West +8

The advent of reliable, nanoscale memristive components is promising for next generation compute-in-memory paradigms, however, the intrinsic variability in these devices has preven…

cond-mat.mtrl-sci2019★ 71 cited

Metal-free perovskites for non-linear optical materials

Thomas W. Kasel, Zeyu Deng, Austin M. Mroz +3

We identify the existence of nonlinear optical (NLO) activity in a number of novel -type metal-free perovskites, where is a highly tuneable organic cation, is a NH$_…

cond-mat.mtrl-sci2018★ 22 cited

Finding a junction partner for candidate solar cell absorbers enargite and bournonite from electronic band and lattice matching

Suzanne K. Wallace, Keith T. Butler, Yoyo Hinuma +1

An essential step in the development of a new photovoltaic (PV) technology is choosing appropriate electron and hole extraction layers to make an efficient device. We recently prop…

cond-mat.mtrl-sci2018★ 17 cited

Quick-start guide for first-principles modelling of semiconductor interfaces

Ji-Sang Park, Young-Kwang Jung, Keith T. Butler +1

Interfaces between dissimilar materials control the transport of energy in a range of technologies including solar cells (electron transport), batteries (ion transport), and thermo…

physics.comp-ph2018★ 114 cited

Band Engineering of Carbon Nitride Monolayers by N-type, P-type, and Isoelectronic Doping for Photocatalytic Applications

Meysam Makaremi, Sean Grixti, Keith T. Butler +2

Since hydrogen fuel involves the highest energy density among all fuels, production of this gas through the solar water splitting approach has been suggested as a green remedy for…

cond-mat.mtrl-sci2017★ 1.1k cited

Perovskites for Solar and Thermal Energy Harvesting: State of the Art Technologies, Current Scenario and Future Directions

Richa Pandey, Gaurav Vats, Jae Yun +3

Solar energy is anticipated to be the most viable source of sustainable green energy. Perovskites have gained significant research attention in recent years as a solar energy harve…

cond-mat.mtrl-sci2016★ 56 cited

Microscopic origin of entropy-driven polymorphism in hybrid organic-inorganic perovskite materials

Keith T. Butler, Gregor Kieslich, Katrine Svane +2

Entropy is a critical, but often overlooked, factor in determining the relative stabilities of crystal phases. The importance of entropy is most pronounced in softer materials, whe…

cond-mat.mtrl-sci2015★ 29 cited

Crystal structure optimisation using an auxiliary equation of state

Adam J. Jackson, Jonathan M. Skelton, Christopher H. Hendon +2

Standard procedures for local crystal-structure optimisation involve numerous energy and force calculations. It is common to calculate an energy-volume curve, fitting an equation o…

cond-mat.mtrl-sci2014★ 444 cited

Ferroelectric Materials for Solar Energy Conversion: Photoferroics Revisited

Keith T. Butler, Jarvist M. Frost, Aron Walsh

The application of ferroelectric materials (i.e. solids that exhibit spontaneous electric polarisation) in solar cells has a long and controversial history. This includes the first…

cond-mat.mes-hall2014★ 555 cited

Molecular ferroelectric contributions to anomalous hysteresis in hybrid perovskite solar cells

Jarvist M. Frost, Keith T. Butler, Aron Walsh

We report a model describing the molecular orientation disorder in CH3NH3PbI3, solving a classical Hamiltonian parametrised with electronic structure calculations, with the nature…

cond-mat.mtrl-sci2014★ 2.4k cited

Atomistic origins of high-performance in hybrid halide perovskite solar cells

Jarvist M. Frost, Keith T. Butler, Federico Brivio +3

The performance of organometallic perovskite solar cells has rapidly surpassed that of both conventional dye-sensitised and organic photovoltaics. High power conversion efficiency…

cond-mat.mtrl-sci2014★ 291 cited

Electronic chemical potentials of porous metal-organic frameworks

Keith T. Butler, Christopher H. Hendon, Aron Walsh

The binding energy of an electron in a material is a fundamental characteristic, which determines a wealth of important chemical and physical properties. For metal-organic framewor…

cond-mat.mtrl-sci2014★ 757 cited

Relativistic quasiparticle self-consistent electronic structure of hybrid halide perovskite photovoltaic absorbers

Federico Brivio, Keith T. Butler, Aron Walsh +1

Solar cells based on a light absorbing layer of the organometal halide perovskite CHNHPbI have recently reached 15% conversion efficiency, though how these materials wo…