activity
20172019
most citedMaterials data validation and imputation with an artificial neural network

76 citations · 108 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.supr-con2019★ 7 cited

Long-lived non-equilibrium superconductivity in a non-centrosymmetric Rashba semiconductor

V. Narayan, P. C. Verpoort, J. R. A. Dann +8

We report non-equilibrium magnetodynamics in the Rashba-superconductor GeTe, which lacks inversion symmetry in the bulk. We find that at low temperature the system exhibits a non-e…

cond-mat.mtrl-sci2019★ 5 cited

Au-Ge alloys for wide-range low-temperature on-chip thermometry

J. R. A. Dann, P. C. Verpoort, J. Ferreira de Oliveira +4

We present results of a Au-Ge alloy that is useful as a resistance-based thermometer from room temperature down to at least \SI{0.2}{\kelvin}. Over a wide range, the electrical res…

physics.comp-ph2018★ 76 cited

Materials data validation and imputation with an artificial neural network

P. C. Verpoort, P. MacDonald, G. J. Conduit

We apply an artificial neural network to model and verify material properties. The neural network algorithm has a unique capability to handle incomplete data sets in both training…

cond-mat.stat-mech2018★ 4 cited

Color-dependent interactions in the three coloring model

Philipp C. Verpoort, Jacob Simmons, Claudio Castelnovo

Since it was first discussed by Baxter in 1970, the three coloring model has been studied in several contexts, from frustrated magnetism to superconducting devices and glassiness.…

cond-mat.quant-gas2017★ 16 cited

Effective-range dependence of two-dimensional Fermi gases

L. M. Schonenberg, P. C. Verpoort, G. J. Conduit

The Feshbach resonance provides precise control over the scattering length and effective range of interactions between ultracold atoms. We propose the ultratransferable pseudopoten…