Zobrazeno 1 - 10 of 34 pro vyhledávání: '"D Alan, Tennant"'
1
Akademický článek
Reconstructing the spatial structure of quantum correlations in materials
Autor: Allen Scheie, Pontus Laurell, Elbio Dagotto, D. Alan Tennant, Tommaso Roscilde
Publikováno v: Physical Review Research, Vol 6, Iss 3, p 033183 (2024)
Quantum correlations are a fundamental property of quantum many-body states. Yet they remain experimentally elusive, hindering certification of genuine quantum behavior, especially in quantum materials. Here we show that the momentum-dependent dynami
Externí odkaz: https://doaj.org/article/38b276f81eb54b55aced6c828d3114ac
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2
Akademický článek
Integration of machine learning with neutron scattering for the Hamiltonian tuning of spin ice under pressure
Autor: Anjana Samarakoon, D. Alan Tennant, Feng Ye, Qiang Zhang, Santiago A. Grigera
Publikováno v: Communications Materials, Vol 3, Iss 1, Pp 1-11 (2022)
Designing and understanding quantum materials requires continuous feedback between experimental observations and theoretical modelling. Here, a machine learning scheme integrates experiments with theory and modelling on experimental timescales for ex
Externí odkaz: https://doaj.org/article/d0605a609ad14fbe9d0466970f848d1e
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3
Akademický článek
First-principles derivation of magnetic interactions in the triangular quantum spin liquid candidates KYbCh_{2} (Ch=S,Se,Te) and AYbSe_{2} (A=Na,Rb)
Autor: John W. Villanova, Allen O. Scheie, D. Alan Tennant, Satoshi Okamoto, Tom Berlijn
Publikováno v: Physical Review Research, Vol 5, Iss 3, p 033050 (2023)
The AYbCh_{2} (A=alkalimetal, Ch=chalcogen) delafossites are a family of crystals which have a triangular lattice of effective S=1/2 moments on their Yb atoms. They hold great promise for the realization of the triangular quantum spin liquid state be
Externí odkaz: https://doaj.org/article/354ec64c617e47c89250178a31659469
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4
Akademický článek
Extraction of interaction parameters for α-RuCl_{3} from neutron data using machine learning
Autor: Anjana M. Samarakoon, Pontus Laurell, Christian Balz, Arnab Banerjee, Paula Lampen-Kelley, David Mandrus, Stephen E. Nagler, Satoshi Okamoto, D. Alan Tennant
Publikováno v: Physical Review Research, Vol 4, Iss 2, p L022061 (2022)
Single-crystal inelastic neutron-scattering (INS) data contain rich information about the structure and dynamics of a material. Yet the challenge of matching sophisticated theoretical models with large data volumes is compounded by computational comp
Externí odkaz: https://doaj.org/article/b0031970dc0945f790a4857e2ba8cf2e
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5
Akademický článek
Machine-learning-assisted insight into spin ice Dy2Ti2O7
Autor: Anjana M. Samarakoon, Kipton Barros, Ying Wai Li, Markus Eisenbach, Qiang Zhang, Feng Ye, V. Sharma, Z. L. Dun, Haidong Zhou, Santiago A. Grigera, Cristian D. Batista, D. Alan Tennant
Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Developing an understanding of a material’s magnetic behaviour based on neutron scattering measurements often relies on extracting an effective spin model. Samarakoon et al. demonstrate an automated machine learning approach to this problem, leadin
Externí odkaz: https://doaj.org/article/5964d7ee7a0c4c278294454fdb52db06
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6
Akademický článek
Structural magnetic glassiness in the spin ice Dy_{2}Ti_{2}O_{7}
Autor: Anjana M. Samarakoon, André Sokolowski, Bastian Klemke, Ralf Feyerherm, Michael Meissner, R. A. Borzi, Feng Ye, Qiang Zhang, Zhiling Dun, Haidong Zhou, T. Egami, Jonathan N. Hallén, Ludovic Jaubert, Claudio Castelnovo, Roderich Moessner, S. A. Grigera, D. Alan Tennant
Publikováno v: Physical Review Research, Vol 4, Iss 3, p 033159 (2022)
The origin and nature of glassy dynamics presents one of the central enigmas of condensed-matter physics across a broad range of systems ranging from window glass to spin glasses. The spin-ice compound Dy_{2}Ti_{2}O_{7}, which is perhaps best known a
Externí odkaz: https://doaj.org/article/e4dd183ae93244c58e00aee948f2267a
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10
Dynamical fractal and anomalous noise in a clean magnetic crystal
Autor: Jonathan N. Hallén, Santiago A. Grigera, D. Alan Tennant, Claudio Castelnovo, Roderich Moessner
Publikováno v: Science
Fractals -- objects with non-integer dimensions -- occur in manifold settings and length scales in nature, ranging from snowflakes and lightning strikes to natural coastlines. Much effort has been expended to generate fractals for use in many-body ph
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ff5e3f8336dabc421fb2b25a2e7d400
https://www.repository.cam.ac.uk/handle/1810/344540
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