Zobrazeno 1 - 10
of 86
pro vyhledávání: '"A. T. Savici"'
Autor:
L. S. Wu, S. E. Nikitin, Z. Wang, W. Zhu, C. D. Batista, A. M. Tsvelik, A. M. Samarakoon, D. A. Tennant, M. Brando, L. Vasylechko, M. Frontzek, A. T. Savici, G. Sala, G. Ehlers, A. D. Christianson, M. D. Lumsden, A. Podlesnyak
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Low dimensional quantum magnetic excitations are intriguing but the experimental realizations are challenging. Here, the authors demonstrate Tomonaga–Luttinger behavior and spinon confinement in rare-earth perovskite YbAlO3 by inelastic neutron sca
Externí odkaz:
https://doaj.org/article/89f9a19961c64ab2a23efcdeb3e75262
Autor:
J. C. Leiner, H. O. Jeschke, R. Valentí, S. Zhang, A. T. Savici, J. Y. Y. Lin, M. B. Stone, M. D. Lumsden, Jiawang Hong, O. Delaire, Wei Bao, C. L. Broholm
Publikováno v:
Physical Review X, Vol 9, Iss 1, p 011035 (2019)
V_{2}O_{3} famously features all four combinations of paramagnetic versus antiferromagnetic and metallic versus insulating states of matter in response to percent-level doping, pressure in the GPa range, and temperature below 300 K. Using time-of-fli
Externí odkaz:
https://doaj.org/article/39d35165a38d4b9da44b1a6aaccbf829
Autor:
Yongqiang Cheng, Geoffrey Wu, Daniel M Pajerowski, Matthew B Stone, Andrei T Savici, Mingda Li, Anibal J Ramirez-Cuesta
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 1, p 015010 (2023)
Inelastic neutron scattering (INS) is a powerful technique to study vibrational dynamics of materials with several unique advantages. However, analysis and interpretation of INS spectra often require advanced modeling that needs specialized computing
Externí odkaz:
https://doaj.org/article/3eabe5b5c95f48d69f517bceb6e4a73a
Autor:
Xiao Hu, Aashish Sapkota, Zhixiang Hu, Andrei T. Savici, Alexander I. Kolesnikov, John M. Tranquada, Cedomir Petrovic, Igor A. Zaliznyak
We report inelastic neutron scattering measurements of magnetic excitations in YbMnSb2, a low-carrier-density Dirac semimetal in which the antiferromagnetic Mn layers are interleaved with Sb layers that host Dirac fermions. We observe a considerable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ab1335ee2b9a1a9e9cb635a468030b
http://arxiv.org/abs/2303.02587
http://arxiv.org/abs/2303.02587
Autor:
Austin McDannald, Matthias Frontzek, Andrei T. Savici, Mathieu Doucet, Efrain E. Rodriguez, Kate Meuse, Jessica Opsahl-Ong, Daniel Samarov, Ichiro Takeuchi, William Ratcliff, A. Gilad Kusne
Publikováno v:
Neutron News. 34:6-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6127e25c5d06300b892658a052e25f9a
https://doi.org/10.1080/10448632.2023.2190714
https://doi.org/10.1080/10448632.2023.2190714
Autor:
Igor Zaliznyak, Cedomir Petrovic, Yangmu Li, Peter D. Johnson, David Fobes, Fernando Camino, John M. Tranquada, Genda Gu, Nader Zaki, Andrei T. Savici, Zhijun Xu, Vasile O. Garlea
Publikováno v:
Nature Materials. 20:1221-1227
The idea of employing non-Abelian statistics for error-free quantum computing ignited interest in reports of topological surface superconductivity and Majorana zero modes (MZMs) in FeTe0.55Se0.45. However, the topological features and superconducting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4fd5674c55a98675eec1c3d0e442843
https://doi.org/10.1038/s41563-021-00984-7
https://doi.org/10.1038/s41563-021-00984-7
Autor:
Jyoti P. Mahalik, Hans J. Lauter, Rajeev Kumar, Hailemariam Ambaye, Valeria Lauter, Andrei T. Savici, Bobby G. Sumpter, Wei Li, Steven Hahn
Publikováno v:
Macromolecules. 54:450-459
Despite decades of research, characterization of the effects of polymer chain dispersity on the structural properties of block copolymer thin films remains challenging. We present an integrated exp...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85c72edf5073120c08214353061103bc
https://doi.org/10.1021/acs.macromol.0c01722
https://doi.org/10.1021/acs.macromol.0c01722
Autor:
Andrei T. Savici, Martyn A. Gigg, Owen Arnold, Roman Tolchenov, Ross E. Whitfield, Steven E. Hahn, Wenduo Zhou, Igor A. Zaliznyak
Publikováno v:
Journal of applied crystallography. 55(Pt 6)
Event-mode data collection presents remarkable new opportunities for time-of-flight neutron scattering studies of collective excitations, diffuse scattering from short-range atomic and magnetic structures, and neutron crystallography. In these experi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6635f251981b8f95d0d5e4f6cc532664
https://pubmed.ncbi.nlm.nih.gov/36570664
https://pubmed.ncbi.nlm.nih.gov/36570664
Autor:
Austin McDannald, Matthias Frontzek, Andrei T. Savici, Mathieu Doucet, Efrain E. Rodriguez, Kate Meuse, Jessica Opsahl-Ong, Daniel Samarov, Ichiro Takeuchi, William Ratcliff, A. Gilad Kusne
We demonstrate the first live, autonomous control over neutron diffraction experiments by developing and deploying ANDiE: the autonomous neutron diffraction explorer. Neutron scattering is a unique and versatile characterization technique for probing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9e5ddc607b21b5ccd7d454de280da91
http://arxiv.org/abs/2108.08918
http://arxiv.org/abs/2108.08918
Autor:
William T. Heller, John Hetrick, Jean Bilheux, Jose M. Borreguero Calvo, Wei-Ren Chen, Lisa DeBeer-Schmitt, Changwoo Do, Mathieu Doucet, Michael R. Fitzsimmons, William F. Godoy, Garrett E. Granroth, Steven Hahn, Lilin He, Fahima Islam, Jiao Lin, Kenneth C. Littrell, Marshall McDonnell, Jesse McGaha, Peter F. Peterson, Sai Venkatesh Pingali, Shuo Qian, Andrei T. Savici, Yingrui Shang, Christopher B. Stanley, Volker S. Urban, Ross E. Whitfield, Chen Zhang, Wenduo Zhou, Jay Jay Billings, Matthew J. Cuneo, Ricardo M. Ferraz Leal, Tianhao Wang, Bin Wu
Publikováno v:
SoftwareX. 19:101101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::311d6609a75d4ac215d697dba87a9588
https://doi.org/10.1016/j.softx.2022.101101
https://doi.org/10.1016/j.softx.2022.101101