[2019-01-15 mar]
- Thermodynamics
- Whether something is likely to happen
- Kinetics
- how fast it will happen
T v.s v v.s. kinetic energy
- Graphite is less thermodynamically stable than diamond
Ideal gas
- # of molecules colliding to surface A
\frac{1}{2} n^{*}A
- Temperature is a direct indication of kinetic energy
- The energy is the same for two (ideal) gases E = 3/2 k T
- The velocity and the mass are different
Distribution
Review
Chapter 2
rate las (rate) = \underbrace{k}_{rate constant} [A]^{a} [B]^{b}...
\frac{[P]}{t} = k f([A], [B])
the function can be simple or complicated as desired, and
P(t) =
[2019-02-22 vie +2d]
- 1st order
- 2nd order
- Higher order (3rd order; partial fraction)
- Equilibrium (forward & reverse)
- Parallel A →(k1) B
(k2)↓
C
\frac{k1}{k2}: branching ratio
(k1) (k2)
A --→ B --→ C
- k1 >> k2: B --→C 1st order (A is first completely consumed into B)
- SSA:
\frac{intermediate}{t} = 0
valid when intermediate is reactive or unstable
A + M <=> A* + M
A* → P
SSA \frac{[A]*}{t} = 0
\frac{1}{v_{o}} = \frac{1}{v_{m}} + \frac{K_{m}}{v_{m}} \frac{1}{s_{o}}
- Inhibition
- competitive
- non-competitive
radicals are very reactive, thus we use SSA
In general
- Setting up differential rate law
- Setting up SSA
- Identify how the reaction kinetics change if the mechanism changes (if a step didn't exist, or a step would be added)
Chapter 3
How do you actually calculate the reaction constant?
k(T) ?
Collision
- overestimates k
- limitations:
- geometry is ignored
- steric factor
We use G(\epsilon) from chapter 1 (big connection)
k = A \exp{- \frac{\epsilon^{*}}{R T}}
A = \pi{} b_{max}^{2} v_{r}
A.C.T.
Chapter 5
Also about k(T), but in solution (when there are solvents; liquid phase)
Diffusion limited
k = 4 \pi{} \left(D_{A} + D_{B}\right) R
R: for neutral, related to geometry
from Chapter 1:
A = \pi{} b_{max}^{2} v_{r}, b_max is geometry
R → \beta{} → U(r),
where U(r) is Coulombic potential, \beta{} is ionic strength
I = \frac{1}{2} \sum_{}^{}{\left(c_{i} z_{i}^{2}\right)}
screening effect: charge makes the reaction slower
Marcus theory: chargge trans
Chapter 4
Transport phenomena
Flux equation
J_{z} = - \frac{1}{3} \lambda{} \langle{v\rangle} \left(\frac{n q^{*}}{x}\right)
\lambda: mean free path from Chapter 1
\langle{v\rangle}: from Chapter 1
- k = \frac{1}{3} \lambda{} \langle{v\rangle} \frac{C_{V}}{N_{A}}
- \eta = ( ) \cdot{} m
- D =
Fick's law
|
|
| \
| \
| \
| \
| \
| \
| \
+-------------------------
J = - D \left(\deriv{C}{x}\right)
Infinite diffusion
Infinite diffusion ~ erf(\frac{x}{2 \sqrt{D t}})
-----------------------+
..... |
...|
..
..
|..
| ....
| .....
------------------------------------------------> x
Random walk ~
Thin layer
gas v.s. liquid
- gas:
- mean free path (\lambda{}): large
- v: large
- liquid
- mean free path (\lambda{}): small
- v: large
- solid
D = \frac{1}{2} \Gamma{} \left(\Delta{x}\right)^{2}
- hopping mechanism
- \Gamma{}: hopping rate (similar to velocity)
- Follows Arrenhius ~ A \exp(- \frac{\Delta{G}}{R T})
- vacancies don't move as quickly
- boundary diffusion easier than bulk diffusion, but if you increase the temperature, the rate of boundary diffusion is more affected
#+BEGIN_SRC ditaa
| --
| \---
| \--
| \---
| ------- \---
| \-----------
| \-----------
| \-- \------
| \---
| \-
-+------------------------------------------
A few reminders about the midterm exam
#+END_SRC
Posted on: Friday, March 1, 2019 2:03:41 PM MST
- The exam will be given during regular class time next Tuesday (Mar 5, 8:35 - 10:15am)
- This is an open book exam. You may use any book or printed/hand-written materials. Electronic devices won't be allowed.
- You will need a scientific/engineering calculator. Graphing function is not required.
- The exam will cover Ch 1-4 of Houston text and Ch 4 of O'Hayre text. Sections 4.1-4.3 of O'Hayre overlaps with Houston, content-wise.
- I'll hold an extra office hours on Monday (March 4) from 4:30 - 6pm at the meeting area (east end of the building) on the 2nd floor of ERB.
Review
Ch 2
- Probability distribution function (can you work with them?)
- If the probability of getting 1 is the double of another one, can you do with it
- What happens if the rate of something is doubled?
- can you get the values of other variables?
- set up steady state approximation, why? know when to use it.
A → B → C
\deriv{[B]}{t} = 0
[B] = ?
To reduce the order of the
If there is no steady state, set up the equation
Only valid when [B] (radicals are unstable)
Collision theory
Understand the theory
D + H2 →
N = 3
3N - 6
They are not linear
Diffusion
Numerical