Prediction and inference of dynamics in quantum plasmas
Quantum plasmas arise in a range of physical contexts, from planetary interiors to Inertial Confinement Fusion experiments. We require sophisticated numerical approaches to find the structural and dynamic properties of these complex, many-body quantum systems; diverse in accuracy and applicability,...
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2020
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| _version_ | 1826316411749793792 |
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| author | Larder, B |
| author2 | Gregori, G |
| author_facet | Gregori, G Larder, B |
| author_sort | Larder, B |
| collection | OXFORD |
| description | Quantum plasmas arise in a range of physical contexts, from planetary interiors to Inertial Confinement Fusion experiments. We require sophisticated numerical approaches to find the structural and dynamic properties of these complex, many-body quantum systems; diverse in accuracy and applicability, these computational approaches each have their own strengths and (often ignored) weaknesses.
By combining existing techniques with newly developed algorithms, this thesis addresses some weaknesses that are common to many state-of-the-art calculation methods for quantum plasmas, and opens up paths to calculating properties that were not previously accessible. The focus of the thesis is a method based on Bohmian mechanics for dynamic structure calculations; alongside this, stochastic gradient Markov Chain Monte Carlo methods are developed for inferring plasma properties from experimental data. |
| first_indexed | 2024-03-06T21:12:51Z |
| format | Thesis |
| id | oxford-uuid:3ec58d83-fe4b-42fc-a6fb-d9d233973ecf |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-12-09T03:44:41Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | oxford-uuid:3ec58d83-fe4b-42fc-a6fb-d9d233973ecf2024-12-07T16:11:48ZPrediction and inference of dynamics in quantum plasmasThesishttp://purl.org/coar/resource_type/c_db06uuid:3ec58d83-fe4b-42fc-a6fb-d9d233973ecfPlasma PhysicsWarm Dense MatterMaterials ScienceQuantum PhysicsEnglishHyrax Deposit2020Larder, BGregori, GNorreys, PGraziani, FQuantum plasmas arise in a range of physical contexts, from planetary interiors to Inertial Confinement Fusion experiments. We require sophisticated numerical approaches to find the structural and dynamic properties of these complex, many-body quantum systems; diverse in accuracy and applicability, these computational approaches each have their own strengths and (often ignored) weaknesses. By combining existing techniques with newly developed algorithms, this thesis addresses some weaknesses that are common to many state-of-the-art calculation methods for quantum plasmas, and opens up paths to calculating properties that were not previously accessible. The focus of the thesis is a method based on Bohmian mechanics for dynamic structure calculations; alongside this, stochastic gradient Markov Chain Monte Carlo methods are developed for inferring plasma properties from experimental data. |
| spellingShingle | Plasma Physics Warm Dense Matter Materials Science Quantum Physics Larder, B Prediction and inference of dynamics in quantum plasmas |
| title | Prediction and inference of dynamics in quantum plasmas |
| title_full | Prediction and inference of dynamics in quantum plasmas |
| title_fullStr | Prediction and inference of dynamics in quantum plasmas |
| title_full_unstemmed | Prediction and inference of dynamics in quantum plasmas |
| title_short | Prediction and inference of dynamics in quantum plasmas |
| title_sort | prediction and inference of dynamics in quantum plasmas |
| topic | Plasma Physics Warm Dense Matter Materials Science Quantum Physics |
| work_keys_str_mv | AT larderb predictionandinferenceofdynamicsinquantumplasmas |