Spin-glass dynamics: experiment, theory and simulation
I tiakina i:
| I whakaputaina i: | arXiv.org (Dec 11, 2024), p. n/a |
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| Kaituhi matua: | |
| Ētahi atu kaituhi: | , , , , , , , , , |
| I whakaputaina: |
Cornell University Library, arXiv.org
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| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract Full text outside of ProQuest |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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MARC
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| 001 | 3143451156 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3143451156 | ||
| 045 | 0 | |b d20241211 | |
| 100 | 1 | |a Dahlberg, E D | |
| 245 | 1 | |a Spin-glass dynamics: experiment, theory and simulation | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 11, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a The study of spin-glass dynamics, long considered the paradigmatic complex system, has reached important milestones. The availability of high-quality single crystals has allowed the experimental measurement of spin-glass coherence lengths of almost macroscopic dimensions, while the advent of special-purpose massive computers enables dynamical simulations that approach experimental time and length scales. This review provides an account of the quantitative convergence of these two avenues of research, with precise experimental measurements of the expected scaling laws and numerical reproduction of classic experimental results, such as memory and rejuvenation. The article opens with a brief review of the defining spin-glass properties, randomness and frustration, and their experimental consequences. These apparently simple characteristics are shown to generate rich and complex physics. Models are introduced that enable quantitative descriptions. After a summary of the main numerical results in equilibrium, paying particular attention to the concept of temperature chaos, this review examines off-equilibrium dynamics in the absence of a magnetic field and shows how it can be related to equilibrium structures through the fluctuation-dissipation relations. The nonlinear response at a given temperature is then developed, including experiments and scaling in the vicinity of the transition temperature \(T_\mathrm{g}\). The consequences of temperature change -- including temperature chaos, rejuvenation, and memory -- are reviewed. The interpretation of these phenomena requires identifying several length scales relevant to dynamics, which, in turn, generate new insights. Finally, issues for future investigations are introduced, including what is to be nailed down theoretically, why the Ising Edwards-Anderson model is so successful at modeling spin-glass dynamics, and experiments yet to be undertaken. | |
| 653 | |a Nonlinear response | ||
| 653 | |a Complex systems | ||
| 653 | |a Ising model | ||
| 653 | |a Coherence length | ||
| 653 | |a Scaling laws | ||
| 653 | |a Transition temperature | ||
| 653 | |a Spin dynamics | ||
| 653 | |a Single crystals | ||
| 653 | |a Spin glasses | ||
| 653 | |a Magnetic properties | ||
| 653 | |a Nonlinear dynamics | ||
| 653 | |a Equilibrium | ||
| 700 | 1 | |a I González-Adalid Pemartín | |
| 700 | 1 | |a Marinari, E | |
| 700 | 1 | |a Martin-Mayor, V | |
| 700 | 1 | |a Moreno-Gordo, J | |
| 700 | 1 | |a Orbach, R L | |
| 700 | 1 | |a Paga, I | |
| 700 | 1 | |a Parisi, G | |
| 700 | 1 | |a Ricci-Tersenghi, F | |
| 700 | 1 | |a Ruiz-Lorenzo, J J | |
| 700 | 1 | |a Yllanes, D | |
| 773 | 0 | |t arXiv.org |g (Dec 11, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3143451156/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2412.08381 |