隨機與資訊熱力學
Stochastic and Information Thermodynamics
| 節 | 週三 |
|---|---|
3 10:10–11:00 | 隨機與資訊熱力學 SC157（光復） 3 節連堂 |
4 11:10–12:00 | |
N 12:20–13:10 |
* 根據陽明交大上課時間表所列
Stochastic thermodynamics extends classical thermodynamics to individual fluctuating trajectories of small systems, such as colloidal particles, molecular motors, proteins, cells, quantum dots, single-electron transistors, and cold atoms. While classical thermodynamics focuses on average quantities like energy, heat, work, and entropy, stochastic thermodynamics accounts for strong thermal fluctuations at microscopic scales, treating quantities such as heat and work as random variables that vary from one trajectory to another. Information thermodynamics further extends this framework by explicitly incorporating information as a physical quantity that can be quantified, manipulated, and converted into energetic costs or gains. The goal of this course is to equip students with the skills needed to analyze and solve problems involving such small systems across these diverse physical settings.
Thermodynamics
無備註
ppt presentation + black board
Two exams (50% + 50%)
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Brownian motion 2026-09-09(三) |
| 第 2 週 | Linear response 2026-09-16(三) |
| 第 3 週 | Fluctuation dissipation theory 2026-09-23(三) |
| 第 4 週 | Memory 2026-09-30(三) |
| 第 5 週 | Diverse noises 2026-10-07(三) |
| 第 6 週 | Classical & stochastic Thermodynamics 2026-10-14(三) |
| 第 7 週 | Non-equilibrium steady states 2026-10-21(三) |
| 第 8 週 | Middle exam 2026-10-28(三) |
| 第 9 週 | Stochastic dynamics on a network 2026-11-04(三) |
| 第 10 週 | Fluctuation theorems 2026-11-11(三) |
| 第 11 週 | Experimental, analytical and numerical work for continuous degrees of freedom 2026-11-18(三) |
| 第 12 週 | Information Thermodynamics 2026-11-25(三) |
| 第 13 週 | Optimization, irreversibility, information and feedback 2026-12-02(三) |
| 第 14 週 | Biomolecular systems 2026-12-09(三) |
| 第 15 週 | Efficiency of stochastic heat engines 2026-12-16(三) |
| 第 16 週 | Final exam 2026-12-23(三) |
Udo Seifert, Stochastic Thermodynamics, Cambridge University Press (2025). Luca Peliti and Simone Pigolotti, Stochastic Thermodynamics: An Introduction, Princeton University Press (2021). U. Seifert, Stochastic thermodynamics, fluctuation theorems and molecular machines, Rep. Prog. Phys. 75 (2012). R. Klages, W. Just, and C. Jarzynski (editors), Nonequilibrium Statistical Physics of Small Systems: Fluctuation Relations and Beyond (Wiley‐VCH Verlag GmbH & Co. KGaA, 2013). J. Keizer, Statistical thermodynamics of nonequilibrium processes (Springer; 1987).
- 地點
- my office SC414
- 時間
- 2FG
- 聯絡方式
- chchang@mail.nctu.edu.tw