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PHY 3903 version 2003

PHY 3903 version 2003. Gary W. Slater 31.oct.2003 gslater@science.uottawa.ca 613-562-5800 x6775 MCD 222 . Writing = 40% your topic = 5% PRL format = 20% seminar = 15% Physique = 10% Biographies=3% Abstract=3% scholarship$=4%. Maple = 50% 6 weeks

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PHY 3903 version 2003

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  1. PHY 3903version 2003 Gary W. Slater 31.oct.2003 gslater@science.uottawa.ca 613-562-5800 x6775 MCD 222

  2. Writing =40% your topic = 5% PRL format = 20% seminar = 15% Physique =10% Biographies=3% Abstract=3% scholarship$=4% Maple = 50% 6 weeks 5 assignments 1 longer problem/project Assigments minus worst one above 50% = 40% projet = 10% %%%%%%Approx.%%%%%%

  3. October 3 Non-Maple 3 Maple 3 October 10 Maple 4 October 17 UofO open house October 24 Absent Schedule • October 31 • Non-Maple • Maple 5 • November 7 • Maple6=fin • Non-Maple=fin • November 14, 21, 28 • Séminaires!!!!!

  4. Seminar: 8+2 min + 3 min Qtransparencies -or-PowerPoint Will take place in the last 3 weeks of the semester 14, 21, 28 novembre Le département sera invité Vous devez préparer le texte de 4 pages format PRLpour le séminaire, et je les metterai sur le site W3 Séminaires

  5. 14 novembre Gascon : Video speed electronic paper Lefebvre : L’effet Casimir Bertrand : C60 Kelly : Space travel Zhang : Wolfram’s Computational Equivalence Parent : Dark matter Cienak : Strong nuclearforce Les séminaires8+2+3 minutes

  6. Les séminaires8+2+3 minutes • 21 novembre • Stone : Fractals • Kamran : Cosmologie • M Lalonde : Sonoluminescence • Meunier : Matérialisme scientifique • O’Byrne : Superfluidity • Vachon : Astronomie expérimentale • Miranda : Quantum Cryptography

  7. 28 novembre J Lalonde : SNO Pinet : Parallel computing & HPC Corrigan : The anthropic principle Comeau : Particle accelerators Dumouchel : Thermonuclear synthesis D’Eca : String Theory Wong : Quantum dots Les séminaires8+2+3 minutes

  8. Getting started (Chapters 1-4) Polynomials (Chapters 5-7, 13, 14) Functions (Chapter 8) Calculus (Chapters 9-11, 17) List, set, array (Chapter 12) Linear Algebra (Chapters 18, 19) Solving equations (Chapter 16) Graphics (Chapter 15) PLAN: Maple 9

  9. 30 october – 1 november

  10. PGS Master’s and Doctoral Check List: Form 200 Outline of proposed research (1 page) Awards, Contributions andStatement (2 pages) Support letters for location oftenure (if applicable) All official academictranscripts (undergraduateand graduate) Appendix 1, Report on theApplicant, in a sealedenvelope (two required) Appendix 2,Departmental/UniversityEvaluation Signed cover page

  11. Physics as a profession • 1. Science et vérité • 2. La recherche et sa société • 3. M. Sc. & Ph. D. • 4. Information • 5. Publishing • 6. Éthique • 7. Journalism, etc. • 8. Presentation • Figs, tables, fits… • 9. Séminaires • Slides, plan, … • 10. $ • Grants, costs… • 11. Canada • granting agencies… • 12. Physicist ?

  12. Modes transparencies/acétates ~standard in physics slides medical sciences PowerPoint growing, + movies! blackboard maths! Durations typically 10-20 min invited speaker will have about X2-3 ~10% for questions in a conference, you MUST stop in a seminar, taking too much time is a sign of a poor speaker 9. Seminars

  13. Parts [introduce the group] plan 1 slide introduction to the topic what are the questions to be investigated methods results conclusions & future 1-2 slides Posters now very common poster sessions can have 10s or even 100s of posters surface area ~ 2 m2 will last a few hours business cards and reprints/preprints are exchanged main problem: too much, too small

  14. The ABSTRACT(for a conference) title names of authors, with the speaker being the first author addresses (brief) 10 lines or so maybe 1-2 references may have acknowledgments often vague because results are not known 6 months ahead of time! Results usually, this is the longest part contains lots of graphs, tables, etc. roughly 0.5-1/min graphs of high quality make sure the labels are readable

  15. STYLE walk around make jokes☺ mention history face the public do NOT block the screen or the projector speak up check the time or follow the chair’s signs english in most conferences Before and after before: check your material chair of the session will introduce you, and mention the title if it is a seminar, the chair will give a short biography after: the chair will ask for questions and usually chooses the order the chair will decide when to terminate the chair may ask you to stop immediately

  16. Recommended 1 subtopic/slide use easy-to-read fonts and sizes do not bring notes do not read a text do not try to answer a question when you don’t know the answer reduce the number of things to talk about but improve their presentation Biggest mistakes exceed the time too much material does not describe the variables, the axes the experiment the goal of the work is not clear no conclusions

  17. Examples of PowerPoint slides

  18. title page: do not read it! An Exact Numerical Approach to Calculating Diffusion Coefficients in Chemistry and Biology Tuesday, November 7th, 2000 - University of Wisconsin - Madison Physical Chemistry Seminar, 11:00 a.m., Room 8335 Chemistry Building. Gary Slater, University of Ottawa, Canada

  19. My abstract The abstract used as the plan for the talk • Diffusion problems are common in the Natural Sciences and play an important role in modern technology. Examples include the migration of macromolecular objects in gels and porous media, the lateral motion of proteins in biomembranes, the mixing of chemical species in stagnant liquids, etc. Standard theoretical methods focus on the diffusion equation and the relevant boundary conditions, but in practice this approach is usually rather limited. Computer simulations, based on the so-called Monte Carlo algorithm, are used extensively to understand how the structure of the system impacts the diffusion of mobile molecules. Our group has recently developed a numerical method that can replace Monte Carlo methods for a wide variety of systems. Typically, our method is faster than Monte Carlo simulations, uses only a Pentium processor, and provides results that are at least 6 to 9 orders of magnitude more precise. In this talk, I will first introduce the basic concepts of the theory of diffusion. Then, I will present our approach, how YOU can easily implemented it on a PC, and some results for various problems of interest in biology and chemistry.

  20. Random Walks: general aspects Large fonts a title for the page large diagram • Model for diffusion • unbiased • leads to non-spherical patterns with isotropic mean properties

  21. http://polymer.bu.edu/java/ single message slides attract the attention

  22. Problems to be studied here • With constraints / obstacles • No external field • Simple particles • Steady-state only • 2D or 3D clearly state the goal(s)

  23. Monte Carlo lattice obstacles PBCs generate random numbers (1=+x, 2=-x, 3=+y, 4=-y) repeat ad nauseum compute D=dx2/dt as a slope, with its error bar Our method lattice obstacles PBCs apply arbitrary field compute exactlocal probabilities and local velocities compute exact D in the limit where the field is zero How to tackle such problems comparisons are easy to understand

  24. C=concentration of obstacles =external field =V/=mobility Valid only near equilibrium Nernst-Einstein relation Large equations Define the variables • It is much easier to compute a velocity (a “signal”) than a diffusion coefficient (a “fluctuation”) • Since 0, its value (& source) is arbitrary

  25. General local velocities • 4 cases: • free V = /d • front blockade V = -(1-)/2d • rear blockade V = +(1+)/2d • blocked V = 0 Use arrows and other tools to clarify

  26. Diffusion Coefficient Highlight the "grand" result!

  27. Examples... single message slides to mark a change in topic

  28. D* all variables are explained

  29. Gives rational fractions. do not crowd!

  30. (b) (a) (c) no need for text: it is better to talk

  31. no need for text: it is better to talk

  32. Q: In the case of electrophoresis, should we worry about field lines? asking a question is a good guide • Locke et al. recently claimed that the Ogston model actually work if we taken into account the curved field lines around non-conducting obstacles • Field lines could actually cancel some of the non-Ogston effects • However, that would violate the Einstein relation!

  33. Our approach can replace Monte Carlo methods for tons of applications Faster, simpler, more precise than Monte Carlo, even on Pentiums! CONCLUSIONS Of course!

  34. Funded by: NSERC, Applied Biosystems Collaborators: Guy Drouin, Laurette McCormick, Michel Gauthier Acknowledgments Of course!

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