vendredi 22 mai 2020
Solid Physics ( lectures )
Chapter One Crystal Structure
Chapter Two Reciprocal Lattice
Chapter Three Crystal binding
Chapter Four Phonons I. Crystal vibrations
Chapter Five Phonons II. Thermal Properties
Chapter Six Free Electron Fermi Gas
Chapter Seven Energy bands
Chapter Eight Semiconductor crystals
Chapter Nine Fermi surfaces and Metals
Chapter Ten Superconductivity
Chapter Eleven Diamagnetism and Paramagnetism
Chapter Twelve Ferromagnetism and Antiferromagnetism
lundi 11 mai 2020
DENSITY FUNCTIONAL THEORY for calculations on molecules and materials
CHEM6085
Dr Chris-Kriton Skylaris
Dr Chris-Kriton Skylaris
vendredi 24 avril 2020
Dr. Vadym Zayets
Content
all pages of web site of Vadym Zayets
 the
most of these Web pages I have made in a clean room waiting for
temperature to stabilized or a required vacuum to be reached. Therefore,
the Web pages may content some English errors or my thoughts may be not
fully explained or some explanation may be missed. I do my best to
correct all these errors. |
|
| click on image to enlarge it. |
Spin Transport
Introduction
Transport Eqs.
Spin Proximity/ Spin Injection
Spin Detection
Boltzmann Eqs.
Band current
Scattering current
Mean-free path
Current near Interface
Ordinary Hall effect
Anomalous Hall effect, AMR effect (New)
Spin-Orbit interaction
Spin Hall effect (New)
Non-local Spin Detection
Landau -Lifshitz equation
Exchange interaction
sp-d exchange interaction
Thermally-activated magnetization switching. Coercive field. Retention time. Δ
Perpendicular magnetic anisotropy (PMA)
Voltage- controlled magnetism (VCMA effect)
Spin vs. Orbital moment in a solid. Quenching of orbital moment
All-metal transistor
Spin-orbit torque (SOT effect)
measurement of Spin Polarization
What is a hole?
e-Drugs (Electronic drugs & Electronic Antibiotics.). PMA sensor.
Charge accumulation
MgO-based MTJ
Magneto-optics
Spin vs Orbital moment
What is the Spin?
model comparison
Questions & Answers
EB nanotechnology
Reticle 11
Measurement of Magnetic and Magneto- transport properties of FeCoB nanomagnets (New)
Spin and charge Properties
(model based on fact of distribution of conduction electrons into two groups of spin-polarized and spin-unpolarized electrons)
Introduction
Scatterings
Spin-polarized/ unpolarized electrons
Spin statistics
electron gas in Magnetic Field
Pauli paramagnetism. Pauli and Stoner models. Features and limitations.
Spin Torque
Spin-Torque Current
Spin-Transfer Torque
Quantum Nature of Spin
Questions & Answers
Classical model of spin-up/down bands of the spin transport
(The applications of this model are limited, because this model has some incorrect assumption)
Introduction
Basic Transport equations
Spin and charge currents
Spin drain
Non-magnetic metals
Ferromagnetic metals
Semiconductors (Basic)
Threshold spin current
Spin gain/damping
Spin Relaxation
Spin Hall/ Inverse Spin Hall effects
ee- interaction
Spin-Photon memory
| click on image to enlarge it. |
This topic is about my development of high-speed non-volatile optical memory
Introduction
Applications
Operational principal
High-speed demultiplexing experiment
Reading
High-Speed Spin Injection
Spin-photon memory with MTJ
Fabrication Technology
EB nano fabrication
Reticle 10
Magneto-optical effect
Faraday rotation angle
MCD
Isolation
Kerr rotation
non-linear constants
Origin of Magneto-optics
Transverse Magneto-Optical effect
Introduction
Experimental observation of transverse MO effect
Properties of transverse MO effect
Origin of transverse MO effect
Transverse Ellipticity
Two contributions to transverse MO effect
Magnetization-dependent optical loss
Calculations of transverse MO effect in the case of multilayer structure
Optical excitation of spin-polarized electrons utilizing transverse MO
Plasmons
Giant Enhancement of Transverse MO effect
History and Future
Plasmonic. Plasmonic isolator. Si nanowire waveguides
Introduction
Si nanowire fabrication technology
fiber/waveguide coupling setup
devices made of Si-waveguides
directional coupler
integration: plasmonic + Si waveguides
Comparison of two technologies of Integration of Si nanowire waveguide and plasmonic waveguide
Out-plane plasmonic confinement
plasmonic isolator
III-V plasmonic
AlGaAs waveguide (800 nm)
AlGaAs waveguide (1550 nm)
Si wire waveguide (1550 nm)
plasmonic on GaAs (800 nm)
plasmonic on GaAs (1550 nm)
plasmonic on Si (1550 nm)
plasmons in metal strip
in-plane confinement of plasmons
samples very old
| click on image to enlarge it. |
mardi 14 avril 2020
Introduction ot the toy model in the framework of statistical mechanics
Abstract
This chapter presents a simple “toy model” to illustrate the concepts of energy, entropy, and free energy. In this model, multiple microstates are grouped together into a single macrostate through a process of coarse-graining. The system tends to go into the macrostate that minimizes the free energy. At low temperature, this is the ordered state with the lowest energy. At high temperature, it is the disordered state with the highest entropy or multiplicity.
To see a world in a grain of sand,
And a heaven in a wild flower,
Hold infinity in the palm of your hand,
And eternity in an hour.
...
William Blake, Auguries of Innocence
Physicists are always looking for the Big Ideas—ideas that are fundamentally simple in concept but can be applied to understand many phenomena throughout nature. In my field of statistical mechanics and phase transitions, the Big Idea is the balance between order and disorder, a balance that is controlled by temperature. In this chapter, I would like to introduce you to this Big Idea through a toy model, i.e., a model which is not a serious theory but is just meant as a simple way to illustrate a basic point. I want to see the world not in a grain of sand, but in a speck of dust.
Let us begin with the situation shown in Fig. 1.1. Here, a speck of dust can have two states: it can be either on the floor or on the table. Each of these states has some energy Efloor or Etable. Based on the Boltzmann distribution,2 these two states have the probabilities pfloor = (e−Efloor/kB T )/Z and ptable = (e−Etable/kB T )/Z, where kB is Boltzmann’s constant,3 T is the temperature, and Z = e−Efloor/kB T + e−Etable/kB T is the partition function that makes the probabilities add up to 1.
Which state is more likely? Let us compare the two probabilities: The speck of dust is more likely to be on the floor if
Hence, the speck is more likely to be on the floor than the table if the floor energy is lower than the table energy. That is not a big surprise!
Now let us consider a slightly more interesting problem. Suppose there are N tables, where N is some large number, as shown in Fig. 1.2. The probability of being on the floor is (e−Efloor/kB T )/Z. The probability of being on a particular table is (e−Etable/kB T )/Z. The probability of being on any of the N tables is N(e−Etable/kB T )/Z. Here, the partition function that normalizes the probabilities must be Z = e−Efloor/kB T + Ne−Etable/kB T .
In this new problem, let us compare the probabilities again. The speck is more likely to be on the floor than on any of the tables if
This little calculation shows that we should not just compare the energy Efloor and Etable. Instead, we should compare some adjusted energy that takes into account the multiplicity of the states. The adjustment (without the factor of T ) is called the entropy, and the adjusted energy is called the free energy. For the group of all table states, the entropy is
Stable = kB log N, (1.3)
and the free energy is
Ftable = Etable − T Stable = Etable − kB T log N. (1.4)
Likewise, because there is only one floor state, the entropy of the floor is
Sfloor = kB log(1) = 0, (1.5)
and the free energy of the floor
Ffloor = Efloor − T Sfloor = Efloor − kB T log(1) = Efloor. (1.6)
Hence, the speck is more likely to be on the floor than on any of the tables if
Ffloor < Ftable. (1.7)
From this toy model, I think we learn three general lessons. First, we see the importance of grouping states together. If we care about whether the speck is on any table, and we do not care which table, then it is appropriate to group all of the table states together. In this grouping, we are treating a collection of microstates as a single macrostate. This macrostate has an energy E and a multiplicity N (and hence an entropy S = kB log N). This grouping is our first example of the concept of coarse-graining, which will be fundamental throughout statistical mechanics.
Second, we see the concept of free energy, which combines the energy and entropy of a macrostate into the quantity F = E − T S. This quantity is essential for understanding what macrostate is most likely to occur at a nonzero temperature T .
Third, we see that the relative importance of energy and entropy depends on temperature. At low temperature, energy is the dominant part of the free energy, and the system is most likely to go into whatever macrostate has the lowest energy. That is usually a single, special state, which might be called an ordered state. By contrast, at high temperature, entropy is the dominant part of the free energy, and the system is most likely to go into whatever macrostate has the highest entropy. That is usually a big collection of many microstates. They each have a high energy, so they are individually unlikely, but there are a lot of them! That collection might be called a disordered state.
Now, dear students, I imagine that some of you might have an objection. You might say “What do you mean by defining the free energy of a state? I have already learned the definition of free energy in a class on thermal physics or statistical thermodynamics, and it was different! In that class, we did not talk about the free energy of a state; we just talked about THE free energy. It was defined in terms of the partition function Z as”
F = −kB T log Z. (1.8)
“So what’s going on here?!?”
I am glad you asked that question. Let us look at Eq. (1.8) for THE free energy, and rewrite it as
e−F/kB T = Z = e−Efloor/kB T + e−Etable 1/kB T +···+ e−Etable N /kB T . (1.9)
Now we group the N table microstates together into a single macrostate, and rewrite the equation as
e−F/kB T = Z = e−Efloor/kB T + Ne−Etable/kB T (1.10)
= e−Ffloor/kB T + e−Ftable/kB T . (1.11)
Look at this: When we combine many microstates together in the partition function, we get the free energy of the combined macrostate. We can keep combining macrostates together to make super-macrostates, and combining super-macrostates to make super-duper-macrostates, and each of them has a free energy. When we eventually finish combining all possible states together, we reach THE free energy of the system. That is coarse-graining!
At this point, I think we have learned everything we can from this toy model, and we need to move on to something more physical. Onward!
Reference: https://b-ok.cc/book/2617724/522dcf
This chapter presents a simple “toy model” to illustrate the concepts of energy, entropy, and free energy. In this model, multiple microstates are grouped together into a single macrostate through a process of coarse-graining. The system tends to go into the macrostate that minimizes the free energy. At low temperature, this is the ordered state with the lowest energy. At high temperature, it is the disordered state with the highest entropy or multiplicity.
To see a world in a grain of sand,
And a heaven in a wild flower,
Hold infinity in the palm of your hand,
And eternity in an hour.
...
William Blake, Auguries of Innocence
Physicists are always looking for the Big Ideas—ideas that are fundamentally simple in concept but can be applied to understand many phenomena throughout nature. In my field of statistical mechanics and phase transitions, the Big Idea is the balance between order and disorder, a balance that is controlled by temperature. In this chapter, I would like to introduce you to this Big Idea through a toy model, i.e., a model which is not a serious theory but is just meant as a simple way to illustrate a basic point. I want to see the world not in a grain of sand, but in a speck of dust.
Let us begin with the situation shown in Fig. 1.1. Here, a speck of dust can have two states: it can be either on the floor or on the table. Each of these states has some energy Efloor or Etable. Based on the Boltzmann distribution,2 these two states have the probabilities pfloor = (e−Efloor/kB T )/Z and ptable = (e−Etable/kB T )/Z, where kB is Boltzmann’s constant,3 T is the temperature, and Z = e−Efloor/kB T + e−Etable/kB T is the partition function that makes the probabilities add up to 1.
Which state is more likely? Let us compare the two probabilities: The speck of dust is more likely to be on the floor if
Hence, the speck is more likely to be on the floor than the table if the floor energy is lower than the table energy. That is not a big surprise!
Now let us consider a slightly more interesting problem. Suppose there are N tables, where N is some large number, as shown in Fig. 1.2. The probability of being on the floor is (e−Efloor/kB T )/Z. The probability of being on a particular table is (e−Etable/kB T )/Z. The probability of being on any of the N tables is N(e−Etable/kB T )/Z. Here, the partition function that normalizes the probabilities must be Z = e−Efloor/kB T + Ne−Etable/kB T .
In this new problem, let us compare the probabilities again. The speck is more likely to be on the floor than on any of the tables if
This little calculation shows that we should not just compare the energy Efloor and Etable. Instead, we should compare some adjusted energy that takes into account the multiplicity of the states. The adjustment (without the factor of T ) is called the entropy, and the adjusted energy is called the free energy. For the group of all table states, the entropy is
Stable = kB log N, (1.3)
and the free energy is
Ftable = Etable − T Stable = Etable − kB T log N. (1.4)
Likewise, because there is only one floor state, the entropy of the floor is
Sfloor = kB log(1) = 0, (1.5)
and the free energy of the floor
Ffloor = Efloor − T Sfloor = Efloor − kB T log(1) = Efloor. (1.6)
Hence, the speck is more likely to be on the floor than on any of the tables if
Ffloor < Ftable. (1.7)
From this toy model, I think we learn three general lessons. First, we see the importance of grouping states together. If we care about whether the speck is on any table, and we do not care which table, then it is appropriate to group all of the table states together. In this grouping, we are treating a collection of microstates as a single macrostate. This macrostate has an energy E and a multiplicity N (and hence an entropy S = kB log N). This grouping is our first example of the concept of coarse-graining, which will be fundamental throughout statistical mechanics.
Second, we see the concept of free energy, which combines the energy and entropy of a macrostate into the quantity F = E − T S. This quantity is essential for understanding what macrostate is most likely to occur at a nonzero temperature T .
Third, we see that the relative importance of energy and entropy depends on temperature. At low temperature, energy is the dominant part of the free energy, and the system is most likely to go into whatever macrostate has the lowest energy. That is usually a single, special state, which might be called an ordered state. By contrast, at high temperature, entropy is the dominant part of the free energy, and the system is most likely to go into whatever macrostate has the highest entropy. That is usually a big collection of many microstates. They each have a high energy, so they are individually unlikely, but there are a lot of them! That collection might be called a disordered state.
Now, dear students, I imagine that some of you might have an objection. You might say “What do you mean by defining the free energy of a state? I have already learned the definition of free energy in a class on thermal physics or statistical thermodynamics, and it was different! In that class, we did not talk about the free energy of a state; we just talked about THE free energy. It was defined in terms of the partition function Z as”
F = −kB T log Z. (1.8)
“So what’s going on here?!?”
I am glad you asked that question. Let us look at Eq. (1.8) for THE free energy, and rewrite it as
e−F/kB T = Z = e−Efloor/kB T + e−Etable 1/kB T +···+ e−Etable N /kB T . (1.9)
Now we group the N table microstates together into a single macrostate, and rewrite the equation as
e−F/kB T = Z = e−Efloor/kB T + Ne−Etable/kB T (1.10)
= e−Ffloor/kB T + e−Ftable/kB T . (1.11)
Look at this: When we combine many microstates together in the partition function, we get the free energy of the combined macrostate. We can keep combining macrostates together to make super-macrostates, and combining super-macrostates to make super-duper-macrostates, and each of them has a free energy. When we eventually finish combining all possible states together, we reach THE free energy of the system. That is coarse-graining!
At this point, I think we have learned everything we can from this toy model, and we need to move on to something more physical. Onward!
Reference: https://b-ok.cc/book/2617724/522dcf
Introduction to the Theory of Soft Matter: From Ideal Gases to Liquid Crystals
Jonathan V. Selinger (auth.)vendredi 3 avril 2020
SOLID STATE PHYSICS
Fall 2001
Lectures: MWF 9-10 ; Room 13-4101
Recitation: F 11-12 ; Room 38-136
Texts | Assignments | Examinations | Syllabus [HTML] [PDF] | HandoutsINSTRUCTOR: M. S. Dresselhaus
STAFF:
- Oded Rabin -- Head TA; Room 13-3025 oded@mgm.mit.edu
- Marcie Black -- TA assistant; Room 13-3041 mrb@mgm.mit.edu
- Yu-Ming Lin -- TA assistant; Room 13-3037 yming@mgm.mit.edu
- Laura Doughty -- Support; Room 13-3005 laura@mgm.mit.edu
COURSE OUTLINE
Part I: Transport Properties
- Review of Energy Dispersion Relations in Solids
- Examples of Energy Bands in Solids
- Time--Independent Perturbation Theory
- Effective Mass Theory
- Transport Phenomena
- Thermal Transport
- Electron and Phonon Scattering
- Harmonic Oscillators, Phonons, and Electron-Phonon Interaction
- Two Dimensional Electron Gas, Quantum Wells \& Semiconductor Superlattices
- Transport in Low Dimensional Systems
- Ion Implantation and RBS
Part II: Optical Properties
- Review of Fundamental Relations
- Drude Theory--Free Carrier Contribution to the Optical Properties
- Interband Transitions
- Time Dependent Perturbation Theory
- The Joint Density of States and Critical Points
- Absorption of Light in Solids
- Optical Properties of Solids Over a Wide Frequency Range
- Impurities and Excitons
- Luminescence and Photoconductivity
- Harmonic Oscillators, Phonons, and the Electron-Phonon Interaction
- Optical Study of Lattice Vibrations
- Non-Linear Optics
- Electron Spectroscopy and Surface Science
- Amorphous Semiconductors
Part III: Magnetic Properties
- Review of Topics in Angular Momentum
- Magnetic Effects in Free Atoms
- Diamagnetism and Paramagnetism of Bound Electrons
- Magnetism in Solids
- Paramagnetism of Nearly Free Electrons
- Landau Diamagnetism
- The Quantum Hall Effect
- Magnetic Ordering
- Magnetic Devices
Part IV: Superconducting Properties of Solids
- Review of Superconducting Properties of Solids
- Macroscopic Quantum Description of the Supercurrent
- Microscopic Quantum Description of the Supercurrent
- Superconductivity in High Transition Temperature Cuprate Materials
http://web.mit.edu/course/6/6.732/www/syllabus.html
vendredi 20 mars 2020
Structure and Properties I (Ram Seshadri )
The course provides and introduction to materials in modern technology. The internal structure of
materials meaning the spatial organization of atoms and the nature of bonding, are discussed and
related to their electrical, magnetic and optical properties.
Introduction to Materials in Modern Technology
The structure of Materials
atomic stucture, periodic table, bonding
Crystal structures I
Crystal structures II
Crystal structures III
Miller Planes etc
Imperfections in solids
Electrical properties of materials I
Electrical properties of materials II
Electrical Propertiesof materials III
Magnetic Properties
Optical properties
Introduction to Materials in Modern Technology
The structure of Materials
atomic stucture, periodic table, bonding
Crystal structures I
Crystal structures II
Crystal structures III
Miller Planes etc
Imperfections in solids
Electrical properties of materials I
Electrical properties of materials II
Electrical Propertiesof materials III
Magnetic Properties
Optical properties
Atomic Structure and Interatomic Bonding ( Lecture )
• Atomic Structure
• Atomic Bonding
https://uh.edu/~hfang2/MECE3345/Lectures/Chapter2.pdf
Structure of Crystalline Solids
https://uh.edu/~hfang2/MECE3345/Lectures/Chapter3.pdf
• Atomic Bonding
https://uh.edu/~hfang2/MECE3345/Lectures/Chapter2.pdf
Structure of Crystalline Solids
https://uh.edu/~hfang2/MECE3345/Lectures/Chapter3.pdf
Mr. Kevin A. Boudreaux
Instructor, Department of Chemistry
Angelo State University
San Angelo, Texas
e-mail: Kevin.Boudreaux@angelo.edu
Phone: Chemistry Department Phone Number 942-2181, extension 6623; or 486-6623
Office: Cavness Science Building, 207B
This page contains my class schedules, lecture notes, syllabi, and other information pertaining to the classes I'm teaching this semester. For other chemistry resources, browse through the links in the navigation bar at the top of the screen.
Douglas Adams, The Hitchhiker's
Guide to the Galaxy (1979)
CHEM 1311/1312 CHEM 2353/3331
Spring, 2020
CHEM 1311 General Chemistry
Section 020: CAV 200, TR 8:00 am - 9:15 am
Office Hours (CAV 207B): M-F 9:30-11, and by appointment
Review Sessions: Mondays at 5 pm (CAV 211)
Last updated: January 9, 2020
What's New?
Class Syllabus - Short Version
Class Syllabus - Full Version
Previous Updates
Class Schedule
| |
| SmartWork Assignments | SmartWork assignments are due on Tuesday and Friday at 11:59 pm. See the assignment list on the SmartWork page for a list of which problems are due. |
| Exam 1 | Wednesday, February 12 at 5:30 pm (MCS 100) — Chapters 1-3 |
| Exam 2 |
Wednesday, March 18 at 5:30 pm (MCS 100) — Chapters 3-5
|
| Last Day to Drop | Thursday, March 26, 2020 |
| Exam 3 | Wednesday, April 15 at 5:30 pm (MCS 100) — Chapters 6-8 |
| Final Exam |
Tuesday, May 5 from 8:00 am to 10:00 am
The Final Exam will be a comprehensive multiple-choice standardized exam published by the American Chemical Society (ACS).Students who must miss the scheduled exam time must notify the instructor by noon of the day of the exam, otherwise no make-up provisions will be made. |
Important Links
| |
| SmartWork | Computer Homework for my lecture sections https://digital.wwnorton.com/chem5 www.wwnorton.com/smartwork This will also allow access to the online textbook, which provides supplemental videos, animations, and other helpful content |
Most of the documents below are *.PDF files, which require the Adobe Acrobat Reader, except where noted. Download the free Adobe Acrobat Reader from http://www.adobe.com/
Lecture Slides
| |||
Handouts
| |||
| Nomenclature | Polyatomic Ions To Memorize | download 1 page | |
| Nomenclature | Elements To Memorize | download 1 page | |
| Lewis Dot Summary | Using VSEPR to Predict the Shapes of Molecules Handout | download (31 KB) 2 pages | |
CHEM 1411 Notes
| |||
| 2 slides per page | 6 slides per page | ||
| Chapter 1 | Matter and Energy | download (2.88 MB) 38 pages | download (1.62 MB) 13 pages |
| Chapter 2 | Atoms, Ions, and Molecules | download (3.89 MB) 41 pages | download (2.32 MB) 14 pages |
| Chapter 3 | Stoichiometry | download (2.11 MB) 34 pages | download (1.30 MB) 12 pages |
| Chapter 4 | Solution Chemistry | download (3.93 MB) 55 pages | download (2.08 MB) 19 pages |
| Chapter 5 | Thermochemistry | download (2.55 MB) 39 pages | download (1.51 MB) 13 pages |
| Chapter 6 | Properties of Gases | download (4.31 MB) 49 pages | download (2.35 MB) 17 pages |
| Chapter 7 | A Quantum Model of Atoms | download (6.98 MB) 70 pages | download (3.76 MB) 24 pages |
| Chapter 8 | Chemical Bonds (+ VSEPR from Chapter 9) | download (5.39 MB) 52 pages | download (3.09 MB) 18 pages |
| Chapter 9 | Molecular Geometry | download (2.45 MB) 22 pages | download (1.53 MB) 8 pages |
| Chapter 10 | Intermolecular Forces | download (3.57 MB) 41 pages | download (1.95 MB) 14 pages |
CHEM 1412 Notes
| |||
| Chapter 11 | |||
Practice Problems
| ||
| Chapter 1 | Chapter 4 | Chapter 7 |
| Chapter 2 | Chapter 5 | Chapter 8&9 |
| Chapter 3 | Chapter 6 | Chapter 10 |
Old Quizzes
| ||
Miscellaneous Documents
|
CHEM 1311 Class Syllabus - Short Version
CHEM 1311 Class Syllabus - Full Version
|
Periodic Table of the Elements
|
Spring, 2020
CHEM 2353 Fundamentals of Organic Chemistry
Section 010: CAV200, MWF 11:00 am - 11:50 am
Office Hours (CAV 207B): M-F 9:30-11, and by appointment
Last updated: January 9, 2020
What's New?
Class Schedule
| |
| Exam 1 | Friday, February 7 |
| Exam 2 | Friday, February 28 |
| Exam 3 | Friday, March 27 |
| Last Day to Drop | Thursday, March 26, 2020 |
| Exam 4 | Friday, April 24 |
| Final Exam | Wednesday, May 6 from 10:30 am to 12:30 pm |
Most of the documents below are *.PDF files, which require the Adobe Acrobat Reader, except where noted. Download the free Adobe Acrobat Reader from http://www.adobe.com/
Lecture Slides
| |||
| CHEM 2353 Notes | |||
| 2 slides per page | 6 slides per page | ||
Chapter 1
|
Organic Compounds: Alkanes
| download (614 KB) 46 pages | download (425 KB) 16 pages |
Chapter 2
|
Unsaturated Hydrocarbons
| download (802 KB) 53 pages | download (555 KB) 18 pages |
| Chapter 3 | Alcohols, Phenols, and Ethers | download (387 KB) 37 pages | download (236 KB) 13 pages |
| Chapter 4 | Aldehydes and Ketones | download (350 KB) 25 pages | download (211 KB) 9 pages |
| Chapter 5 | Carboxylic Acids and Esters | download (406 KB) 42 pages | download (286 KB) 14 pages |
| Chapter 6 | Amines and Amides | download (514 KB) 50 pages | download (342 KB) 17 pages |
| CHEM 3331 Notes | |||
| 2 slides per page | 6 slides per page | ||
| Chapter 7 | Carbohydrates | download (2.53 MB) 37 pages | download (1.41 MB) 13 pages |
| Chapter 8 | Lipids | download (2.34 MB) 29 pages | download (1.22 MB) 10 pages |
| Chapter 9 | Proteins | download (2.15 MB) 30 pages | download (1.25 MB) 10 pages |
| Chapter 10 | Enzymes | download (2.22 MB) 29 pages | download (1.37 MB) 10 pages |
| Chapter 11 | Nucleic Acids and Protein Synthesis | download (4.11 MB) 38 pages | download (2.15 MB) 13 pages |
| Chapter 12 | Nutrition and Energy for Life | download (3.02 MB) 32 pages | download (1.67 MB) 11 pages |
| Chapter 13 | Nutrition and Energy for Life | download (3.33 MB) 36 pages | download (1.66 MB) 12 pages |
| Chapter 14 | Lipid and Amino Acid Metabolism | download (3.27 MB) 33 pages | download (1.77 MB) 11 pages |
| Chapter 15 | Body Fluids | download (2.97 MB) 29 pages | download (1.54 MB) 10 pages |
Suggested Problems
|
These problems will not be picked up or graded, but they will be similar to the problems on the quizzes and exams, and I would recommend working some of them.
|
| Chapter 1 Exercises (p. 31-37) 4-10, 12-49, 50-55, 56-58, 60-61, 69-70 |
| Chapter 2 Exercises (p. 65-69):1-12, 13-21, 22, 25-31, 32-33, 38-44, 45-50, 51-61, 62-64 |
| Chapter 3 Exercises (p. 95-100):1-12, 13-16, 17-21, 22-32, 36, 39-45, 46-50, 55-56 |
| Chapter 4 Exercises (p. 123-128):1-12, 13-20, 21-34, 42-50 |
| Chapter 5 Exercises (p. 151-156):1-8, 9-17, 18-26, 27-32, 33-42, 43-50, 51-54 |
| Chapter 6 Exercises (p. 180-184):1-6, 7-15, 16-22, 23-32, 45-48, 49-51, 52-55 |
| Chapter 7 Exercises (p. 213-217)1-5, 6-9, 10-18, 21, 22, 2527, 28, 31, 32, 35, 36, 37, 44, 45, 48, 53-55 |
| Chapter 8 Exercises p. 242-2441-4, 5, 6, 9-11, 12, 15, 16, 18-22, 24, 26, 27, 28, 30, 32, 33, 34, 35, 37, 39-42, 44, 45, 49 |
Miscellaneous Documents
|
| CHEM 2353 Lecture Syllabus |
CHEM 2153 Lab Syllabus
|
Periodic Table of the Elements
|
Disclaimer: This document and its contents reflect the views and opinions of the author(s)
and not necessarily those of ASU or the Texas Tech University System
and not necessarily those of ASU or the Texas Tech University System
For questions, comments, or suggestions about this page, contact me at:
e-mail: Kevin.Boudreaux@angelo.edu
e-mail: Kevin.Boudreaux@angelo.edu
vendredi 13 mars 2020
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In classical mechanics , a harmonic oscillator is a system that, when displaced from its equilibrium position, experiences a restori...
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Complete Introduction to Quantum Mechanics-Zagoskin.pdf Alexandre Zagoskin Pages: 418 ISBN 10: 1473602416 File Type: pdf ...
