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CMP
Credit: Jack Hobhouse

Dr Benjamin Huddart

PDRA

Research theme

  • Quantum materials

Sub department

  • Condensed Matter Physics

Research groups

  • Muons and magnets
benjamin.huddart@physics.ox.ac.uk
Clarendon Laboratory, room 106
  • About
  • Publications

Magnetic phases of skyrmion-hosting GaV4S8-ySey (y=0, 2, 4, 8) probed with muon spectroscopy

Physical Review B American Physical Society 98:5 (2018) 054428

Authors:

KJA Franke, BM Huddart, TJ Hicken, F Xiao, Stephen Blundell, FL Pratt, M Crisanti, JAT Barker, SJ Clark, A Stefancic, MC Hatnean, G Balakrishnan, T Lancaster

Abstract:

We present the results of a muon-spin spectroscopy investigation of GaV4S8-ySey with y=0,2,4, and 8. Zero-field measurements suggest that GaV4Se8 and GaV4S8 have distinct magnetic ground states, with the latter material showing an anomalous temperature dependence of the local magnetic field. It is not possible to evolve the magnetic state continuously between these two systems, with the intermediate y=2 and 4 materials showing glassy magnetic behavior at low temperature. The skyrmion lattice (SkL) phase is evident in the y=0 and 8 materials through an enhanced response of the muon-spin relaxation to the emergent dynamics that accompany the SkL. For our polycrystalline samples of GaV4Se8, this enhanced dynamic response is confined to a smaller region of the magnetic field-temperature phase diagram than the previous reports of the SkL in single crystals.

Origin of skyrmion lattice phase splitting in Zn-substituted Cu$_{2}$OSeO$_{3}$

(2018)

Authors:

A Štefančič, S Moody, TJ Hicken, TM Birch, G Balakrishnan, SA Barnett, M Crisanti, JSO Evans, SJR Holt, KJA Franke, PD Hatton, BM Huddart, MR Lees, FL Pratt, CC Tang, MN Wilson, F Xiao, T Lancaster

Quantum magnetism in molecular spin ladders probed with muon-spin spectroscopy

(2018)

Authors:

T Lancaster, F Xiao, BM Huddart, RC Williams, FL Pratt, SJ Blundell, SJ Clark, R Scheuermann, T Goko, S Ward, JL Manson, Ch Rüegg, KW Krämer

Magnetic phases of skyrmion-hosting GaV$_4$S$_{8-y}$Se$_{y}$ ($y = 0, 2, 4, 8$) probed with muon spectroscopy

(2018)

Authors:

Kévin JA Franke, Benjamin M Huddart, Thomas J Hicken, Fan Xiao, Stephen J Blundell, Francis L Pratt, Marta Crisanti, Joel Barker, Stewart J Clark, Aleš Štefančič, Monica Ciomaga Hatnean, Geetha Balakrishnan, Tom Lancaster

Seasonal and decadal forecasts of Atlantic Sea surface temperatures using a linear inverse model

Climate Dynamics Springer Verlag 49:5-6 (2016) 1833-1845

Authors:

B Huddart, Aneesh Subramanian, Laure Zanna, Tim Palmer

Abstract:

Predictability of Atlantic Ocean sea surface temperatures (SST) on seasonal and decadal timescales is investigated using a suite of statistical linear inverse models (LIM). Observed monthly SST anomalies in the Atlantic sector (between 22(Formula presented.)S and 66(Formula presented.)N) are used to construct the LIMs for seasonal and decadal prediction. The forecast skills of the LIMs are then compared to that from two current operational forecast systems. Results indicate that the LIM has good forecast skill for time periods of 3–4 months on the seasonal timescale with enhanced predictability in the spring season. On decadal timescales, the impact of inter-annual and intra-annual variability on the predictability is also investigated. The results show that the suite of LIMs have forecast skill for about 3–4 years over most of the domain when we use only the decadal variability for the construction of the LIM. Including higher frequency variability helps improve the forecast skill and maintains the correlation of LIM predictions with the observed SST anomalies for longer periods. These results indicate the importance of temporal scale interactions in improving predictability on decadal timescales. Hence, LIMs can not only be used as benchmarks for estimates of statistical skill but also to isolate contributions to the forecast skills from different timescales, spatial scales or even model components.

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