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Gareth Conduit
Gareth Conduit
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Predicting the state of charge and health of batteries using data-driven machine learning
MF Ng, J Zhao, Q Yan, GJ Conduit, ZW Seh
Nature Machine Intelligence 2 (3), 161-170, 2020
4732020
Structure-mechanical stability relations of metal-organic frameworks via machine learning
PZ Moghadam, SMJ Rogge, A Li, CM Chow, J Wieme, N Moharrami, ...
Matter 1 (1), 219-234, 2019
2322019
Inhomogeneous phase formation on the border of itinerant ferromagnetism
GJ Conduit, AG Green, BD Simons
Physical review letters 103 (20), 207201, 2009
2132009
Design of a nickel-base superalloy using a neural network
BD Conduit, NG Jones, HJ Stone, GJ Conduit
Materials & Design 131, 358-365, 2017
1312017
Grain growth behaviour during near-γ′ solvus thermal exposures in a polycrystalline nickel-base superalloy
DM Collins, BD Conduit, HJ Stone, MC Hardy, GJ Conduit, RJ Mitchell
Acta materialia 61 (9), 3378-3391, 2013
822013
OPTIMADE, an API for exchanging materials data
CW Andersen, R Armiento, E Blokhin, GJ Conduit, S Dwaraknath, ...
Scientific data 8 (1), 217, 2021
812021
Superfluidity at the BEC-BCS crossover in two-dimensional Fermi gases with population and mass imbalance
GJ Conduit, PH Conlon, BD Simons
Physical Review A 77 (5), 053617, 2008
812008
Materials data validation and imputation with an artificial neural network
PC Verpoort, P MacDonald, GJ Conduit
Computational Materials Science 147, 176-185, 2018
742018
Strategies for improving the efficiency of quantum Monte Carlo calculations
RM Lee, GJ Conduit, N Nemec, P López Ríos, ND Drummond
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 83 (6 …, 2011
712011
Repulsive atomic gas in a harmonic trap on the border of itinerant ferromagnetism
GJ Conduit, BD Simons
Physical review letters 103 (20), 200403, 2009
642009
Itinerant ferromagnetism in an atomic Fermi gas: Influence of population imbalance
GJ Conduit, BD Simons
Physical Review A 79 (5), 053606, 2009
632009
Imputation of assay bioactivity data using deep learning
TM Whitehead, BWJ Irwin, P Hunt, MD Segall, GJ Conduit
Journal of chemical information and modeling 59 (3), 1197-1204, 2019
622019
Practical applications of deep learning to impute heterogeneous drug discovery data
BWJ Irwin, JR Levell, TM Whitehead, MD Segall, GJ Conduit
Journal of Chemical Information and Modeling 60 (6), 2848-2857, 2020
582020
Ferromagnetic spin correlations in a few-fermion system
PO Bugnion, GJ Conduit
Physical Review A 87 (6), 060502, 2013
532013
Quantum order-by-disorder in strongly correlated metals
AG Green, G Conduit, F Kruger
Annual Review of Condensed Matter Physics 9, 59-77, 2018
462018
Line of Dirac monopoles embedded in a Bose-Einstein condensate
GJ Conduit
Physical Review A 86 (2), 021605, 2012
452012
Itinerant ferromagnetism in a two-dimensional atomic gas
GJ Conduit
Physical Review A 82 (4), 043604, 2010
432010
Probabilistic design of a molybdenum-base alloy using a neural network
BD Conduit, NG Jones, HJ Stone, GJ Conduit
Scripta Materialia 146, 82-86, 2018
362018
Itinerant ferromagnetism in an interacting Fermi gas with mass imbalance
CW von Keyserlingk, GJ Conduit
Physical Review A 83 (5), 053625, 2011
362011
Probabilistic neural network identification of an alloy for direct laser deposition
BD Conduit, T Illston, S Baker, DV Duggappa, S Harding, HJ Stone, ...
Materials & Design 168, 107644, 2019
322019
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