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2022 물리화학 3

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2022년 1학기 중앙대학교 화학과 김지현 교수님 물리화학 3 수업에 대한 보충수업 자료들입니다.

자료를 활용하기 위해서는 다음과 같은 프로그램들이 필요합니다.

(→ 학기가 다 끝나고 보니, 대부분은 Anaconda 설치시 같이 설치되는 Python 3을 주로 사용했습니다.)

이론적 결과들은 대부분 Physical Chemistry - Donald McQuarrie 책에 그 유도과정이 나와있습니다.

혹시라도 좀 더 깊이 공부를 하길 원한다면, 책을 참조해주시면 됩니다.

밑에 만든 자료에 대해 질문이 있으시다면, [email protected] 으로 연락을 주신다면, 가능한 시간에 답변을 드리도록 하겠습니다.


1회차

  1. 양자역학의 탄생 역사(왜 슈뢰딩거 방정식을 공부해야되는가?).

  2. Particle in a box를 이용한 불확정성 원리 시각화. (Julia code로도 구현해봄..)

  3. Hilbert space란 무엇인가? Linear combination이란 무엇인가?

  4. Dummy index는 무엇인가?

2회차

  1. Ensemble 개념 소개

  2. Canonical ensemble에 대한 개념 소개: from micro-canonical to canonical

  3. Stirling approximation 소개

  4. Gradient vector, Partial derivative

  5. Lagrange undetermined multiplier method

  6. Monte Carlo simulation을 이용해 Boltzmann distribution을 시각화 해보기

3회차

  1. Ideal gas law

  2. Schottky anomaly

  3. Heat capacity of water

  4. Most probable state of micro canonical ensemble

  5. Density of states

  6. Standard molar entropy of N2O & NO2

4회차

  1. Equilibrium constant of Ammonia

  2. Python tutorial... (늦게나마)

5회차

  1. Adiabatic process란 무엇인가

  2. Speed of Sound 부연 설명

  3. Jacobian determinant

  4. Van't Hoff equation 시각화

  5. Arrhenius equation 부연 설명

6회차

  1. Most probable kinetic energy

  2. Molecular effusion : theory and historical applcation (atomic bomb)

  3. Half life of chemical reaction

  4. HF chemical laser

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