Search Results - "Samarakoon, Anjana M"

Machine-learning-assisted insight into spin ice Dy2Ti2O7 by Samarakoon, Anjana M., Barros, Kipton, Li, Ying Wai, Eisenbach, Markus, Zhang, Qiang, Ye, Feng, Sharma, V., Dun, Z. L., Zhou, Haidong, Grigera, Santiago A., Batista, Cristian D., Tennant, D. Alan

“…Complex behavior poses challenges in extracting models from experiment. An example is spin liquid formation in frustrated magnets like Dy 2 Ti 2 O 7 …”
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Exotic Magnetic Field-Induced Spin-Superstructures in a Mixed Honeycomb-Triangular Lattice System by Garlea, V. Ovidiu, Sanjeewa, Liurukara D., McGuire, Michael A., Batista, Cristian D., Samarakoon, Anjana M., Graf, David, Winn, Barry, Ye, Feng, Hoffmann, Christina, Kolis, Joseph W.

“…The temperature–magnetic field phase diagram of the mixed honeycomb-triangular lattice systemK2Mn3(VO4)2CO3is investigated by means of magnetization,…”
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Inelastic Neutron Scattering Study of Magnetic Exchange Pathways in MnS by Clark, Judith K, Yannello, Vincent, Samarakoon, Anjana M, Ross, Cyris, Uible, Madeleine C, Garlea, V. Ovidiu, Shatruk, Michael

“…We report an investigation of the magnetic structure and magnetic exchange pathways in MnS via neutron scattering methods, aided by density functional theory…”
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Anomalous magnetic noise in an imperfectly flat landscape in the topological magnet Dy2Ti2O7 by Samarakoon, Anjana M, Grigera, S A, Tennant, D Alan, Kirste, Alexander, Klemke, Bastian, Strehlow, Peter, Meissner, Michael, Hallén, Jonathan N, Jaubert, Ludovic, Castelnovo, Claudio, Moessner, Roderich

“…Noise generated by motion of charge and spin provides a unique window into materials at the atomic scale. From temperature of resistors to electrons breaking…”
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Anomalous magnetic noise in an imperfectly flat landscape in the topological magnet Dy 2 Ti 2 O 7 by Samarakoon, Anjana M, Grigera, S A, Tennant, D Alan, Kirste, Alexander, Klemke, Bastian, Strehlow, Peter, Meissner, Michael, Hallén, Jonathan N, Jaubert, Ludovic, Castelnovo, Claudio, Moessner, Roderich

“…Noise generated by motion of charge and spin provides a unique window into materials at the atomic scale. From temperature of resistors to electrons breaking…”
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Bootstrapped Dimensional Crossover of a Spin Density Wave by Samarakoon, Anjana M., Strempfer, J., Zhang, Junjie, Ye, Feng, Qiu, Yiming, Kim, J.-W., Zheng, H., Rosenkranz, S., Norman, M. R., Mitchell, J. F., Phelan, D.

“…Quantum materials display rich and myriad types of magnetic, electronic, and structural ordering, often with these ordering modes either competing with one…”
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Machine learning for neutron scattering at ORNL by Doucet, Mathieu, Samarakoon, Anjana M, Do, Changwoo, Heller, William T, Archibald, Richard, Alan Tennant, D, Proffen, Thomas, Granroth, Garrett E

“…Machine learning (ML) offers exciting new opportunities to extract more information from scattering data. At neutron scattering user facilities, ML has the…”
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Tomonaga–Luttinger liquid behavior and spinon confinement in YbAlO3 by Wu, L. S., Nikitin, S. E., Wang, Z., Zhu, W., Batista, C. D., Tsvelik, A. M., Samarakoon, A. M., Tennant, D. A., Brando, M., Vasylechko, L., Frontzek, M., Savici, A. T., Sala, G., Ehlers, G., Christianson, A. D., Lumsden, M. D., Podlesnyak, A.

“…Low dimensional quantum magnets are interesting because of the emerging collective behavior arising from strong quantum fluctuations. The one-dimensional (1D)…”
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Extraction of interaction parameters for α − RuCl 3 from neutron data using machine learning by Samarakoon, Anjana M., Laurell, Pontus, Balz, Christian, Banerjee, Arnab, Lampen-Kelley, Paula, Mandrus, David, Nagler, Stephen E., Okamoto, Satoshi, Tennant, D. Alan

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Extraction of interaction parameters for α-RuCl_{3} from neutron data using machine learning by Anjana M. Samarakoon, Pontus Laurell, Christian Balz, Arnab Banerjee, Paula Lampen-Kelley, David Mandrus, Stephen E. Nagler, Satoshi Okamoto, D. Alan Tennant

“…Single-crystal inelastic neutron-scattering (INS) data contain rich information about the structure and dynamics of a material. Yet the challenge of matching…”
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Glassy Behavior and Isolated Spin Dimers in a New Frustrated Magnet BaCr 9 p Ga 12−9 p O 19 by Yang, Junjie, Samarakoon, Anjana M., Hong, Kyun Woo, Copley, John R. D., Huang, Qingzhen, Tennant, Alan, Sato, Taku J., Lee, Seung-Hun

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Glassy Behavior and Isolated Spin Dimers in a New Frustrated Magnet BaCr sub( 9p)Ga sub( 12-9p)O sub( 19) by Yang, Junjie, Samarakoon, Anjana M, Hong, Kyun Woo, Copley, John R D, Huang, Qingzhen, Tennant, Alan, Sato, Taku J, Lee, Seung-Hun

“…Using bulk susceptibility and neutron scattering techniques, we have studied a new frustrated magnet, ..., with ... This system is isostructural to ..., in…”
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Glassy Behavior and Isolated Spin Dimers in a New Frustrated Magnet BaCr^sub 9p^Ga^sub 12-9p^O^sub 19 by Yang, Junjie, Samarakoon, Anjana M, Hong, Kyun Woo, Copley, John R D, Huang, Qingzhen, Tennant, Alan, Sato, Taku J, Lee, Seung-Hun

“…Using bulk susceptibility and neutron scattering techniques, we have studied a new frustrated magnet, ..., with ... This system is isostructural to ..., in…”
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Structural magnetic glassiness in spin ice Dy_2Ti_2O_7 by Samarakoon, Anjana M., Sokolowski, Andre, Klemke, Bastian, Feyerherm, Ralf, Meissner, Michael, Borzi, R. A., Ye, Feng, Zhang, Qiang, Dun, Zhiling, Zhou, Haidong, Egami, T., Hallen, Jonathan N., Jaubert, L.D.C., Castelnovo, Claudio, Moessner, Roderich, Grigera, S. A., Tennant, D. Alan

“…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…”
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Structural magnetic glassiness in the spin ice Dy 2 Ti 2 O 7 by Samarakoon, Anjana M., Sokolowski, André, Klemke, Bastian, Feyerherm, Ralf, Meissner, Michael, Borzi, R. A., Ye, Feng, Zhang, Qiang, Dun, Zhiling, Zhou, Haidong, Egami, T., Hallén, Jonathan N., Jaubert, Ludovic, Castelnovo, Claudio, Moessner, Roderich, Grigera, S. A., Tennant, D. Alan

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Structural magnetic glassiness in the spin ice Dy_{2}Ti_{2}O_{7} by 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

“…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…”
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Machine-learning-assisted insight into spin ice Dy 2 Ti 2 O 7 by Samarakoon, Anjana M, Barros, Kipton, Li, Ying Wai, Eisenbach, Markus, Zhang, Qiang, Ye, Feng, Sharma, V, Dun, Z L, Zhou, Haidong, Grigera, Santiago A, Batista, Cristian D, Tennant, D Alan

“…Complex behavior poses challenges in extracting models from experiment. An example is spin liquid formation in frustrated magnets like Dy Ti O . Understanding…”
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Machine Learning for Magnetic Phase Diagrams and Inverse Scattering Problems by Samarakoon, Anjana M, Tennant, D. Alan

“…Machine learning promises to deliver powerful new approaches to neutron scattering from magnetic materials. Large scale simulations provide the means to…”
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Static and dynamic magnetic properties of honeycomb lattice antiferromagnets Na$_{2}M_{2}$TeO$_{6}$, $M$ = Co and Ni by Samarakoon, Anjana M, Chen, Qiang, Zhou, Haidong, Garlea, V. Ovidiu

“…The magnetic structures and spin dynamics of Na$_{2}$Co$_{2}$TeO$_{6}$ and Na$_{2}$Ni$_{2}$TeO$_{6}$ are investigated by means of elastic and inelastic neutron…”
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Extraction of the interaction parameters for $\alpha-$RuCl$_3$ from neutron data using machine learning by Samarakoon, Anjana M, Laurell, Pontus, Balz, Christian, Banerjee, Arnab, Lampen-Kelley, Paula, Mandrus, David, Nagler, Stephen E, Okamoto, Satoshi, Tennant, D. Alan

“…Phys. Rev. Research 4, L022061 (2022) Single crystal inelastic neutron scattering data contain rich information about the structure and dynamics of a material…”
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