# Statistical mechanics (II) final project
##### 2024, Fall
---
### Important time of the final project
* Choose a topic: Send me the topic and rough outline before **Nov. 21th**.
* The schedule of presentation will be established later:
* 12/12, 12/19
----
### Important time of the final project
* The deadline to submit the report is on the same date of the presentation. Prepare your report in PDF file and send an email to me with title 'Final_report_2024_StatMech_2_StudentID'
* My email: yphuang@phys.nthu.edu.tw
* I will response once I receive it. If you did not receive the reply, please send another email to double check.
---
### The format of final project
* The presentation ( 20mins presentation + 5~10mins Q&A, in English, using google meet)
* The fianl report( about 6 pages A4, fontsize 12, in English, in pdf)
* The evaluation
---
### The choices of topics
* If you are working on topics related to statistical mechanics, you can talk about it.
* If not, you can find a topic that is related to statistical mechanics. And send me the topic by **Nov. 21**
* Followings are some possible topics if your project is not directly related to statistical mechanics.
----
### The choices of topics (I) complex systems
* Spin glasses (2021 Nobel prize in physics!)
* Polymer physics (1991 Nobel prize in physics)
* Percolation
* Complex networks
----
### The choices of topics (II) critical phenomena
* Universality in a system
* Critical phenomena in a system
* Efimov states (atomic physics)
* Exact solution of 2D classical Ising model
----
### The choices of topics (III) Numerical
* Classical Ising model
* The exact computations
* Monte Carlo algorithms (local sampling method)
* Monte Carlo algorithms (Cluster algorithms)
* Use those methods to calculate observables we have discussed during the course
Ref: "Statistical mechanics: algorithms and computations", by Werner Krauth
----
### Others
* Topics connect with statistical mechanics
* Subject that is not explained clearly in the course or subjects that you want to dig deeper into it.
* Duality
* Emergent symmetry in certain systems
* ...
---
### Presentation and the report
*Goal: to learn stuff together!*
The presentation and the report should try to answer the following questions
* Define the problem. What is the topic?
* Motivation: Why is it interesting?
* The physics: How does the mechanism work?
* What could we learn from the topic?
----
### Introduction of the topic
* Background introduction of the problem
* Clear definition of the problem
----
### Motivation(Asking yourself questions!)
* Motivation: Why you choose this subject?
* What is conceptually non-trivial?
* Why is it theoretically interesting/useful?
* Why is it experimentally interesting/useful?
* Interesting/useful on its own or to other fields
----
### How does the mechanism work?
* What is the assumption?
* What is the argument? How it is derived(logic with suitable details)?
* What is the primary mechanism?
* What implications does it give us?
----
### What could we learn from this subject?
* What are the related key concepts?
* How does it connect with experiments?
* How does the subject connects with other theoretical ideas?
* <font color="#9ACD32">How does the idea change previous understanding of the field?</font>
----
### Format of the final presentation
* 20mins presentation, no questions during the presentation
* Usually, it means $\lesssim$ 20 slides
* After the presentation, we have Q&A for 5 to 10 mins
----
### Sturcture of the presentation
* Define the problem $\to$ Motivation $\to$ the physics $\to$ What we have learned
* Explain the idea using the simplest non-trivial example
* Use the simplest non-trivial example to explain more complicated cases
* <font color="#9ACD32">A summary on the subject from the bigger scope. (Think about the meaning of the result to the community)</font>
----
### Format of the final report
* About 6 pages A4 paper.
* Font size 12
* Try to *explain* things such that people can learn. Do not use information to overload your reader.
* If you need to use equations, show the key equations and explain the logic that connects those key equations. <font color="#9ACD32">Not all the details.</font>
* Simplest criteria: <font color="#9ACD32">a document that is helpful to educate yourself efficiently.</font>
----
### Details of the final report
* Should contain the following information:
* Motivation: Why should we spend our time to learn it?
* Mechanism: How does it work? What are the key assumptions? How to go from the assumptions to the conclusion?
* How it is related to other problems in a more general scope? Does it trigger further scientific questions? Does it build connections between two different areas?
---
### The evaluation
* For the presentation: mutual evaluation (20%). Detailed evaluation sheet will be provided later.
* For the report: I will give a score (20%)
* We just use A,B,C to evaluate the presentation
* A: Excellent
* B: OK
* C: Needs improvement
----
### Evaluation of the presentation
* Logical structure
* Content of the talk
* Presentation clarity
* Q&A
* Do you feel you learn something?
----
### Evaluation of the presentation
* Logical structure
* Assumptions, implications,...
* Can the speaker tell a story or give a full picture about the subject?
* Background introduction, motivation, reviews of previous works, key idea/concepts, conclusion
* Can the speaker cover the points in the outline properly?
----
### Evaluation of the presentation
* Content of the talk
* Experiment, theory, numerics
* Calarity: Can the audiance understand the speaker? Can the speaker
* Summarize the key conclusions of the relevant references?
* Describe the setting/meaning of the previous results?
* Connects the key ideas clearly?
----
### Evaluation of the presentation
* The presentation clearity
* Readable font size
* Clearly identify the key information.
* Using visual aids (Figures, simple tables, schematic plots)
----
### Evaluation of the presentation
* The Q&A section
* Can the speaker understand the question from the audiance?
* Did the speaker answer the questions properly?
----
### Do you feel you learn something?
* As an audiance, do you feel you learn new things?
----
### Evaluation of the report
* Similar with the presentation, but have more room to describe the subtle ideas or build further connections with different subjects.
----
{"metaMigratedAt":"2023-06-16T13:30:17.003Z","metaMigratedFrom":"Content","title":"Statistical mechanics (II) final project","breaks":true,"showTags":"false","description":"Choose a topic: Send me the topic and rough outline before Nov. 17th.","contributors":"[{\"id\":\"79a6417e-66d9-4ce8-8d81-11f4b6602282\",\"add\":9754,\"del\":3104}]"}