Fall Term Schedule
Fall 2023
Number  Title  Instructor  Time 

CHE 4001
Hussein Aluie
MWF 11:50AM  12:40PM


Physical phenomena in a wide range of areas such as fluid and solid mechanics, electromagnetism, quantum mechanics, chemical diffusion, and acoustics are governed by Partial Differential Equations (PDEs). In this course, you will learn how to solve a variety of BVPs, each of which is defined by a PDE, boundary conditions, and possibly initial conditions. We will cover the classical PDEs of mathematical physics: 1) diffusion equation, 2) Laplace equations, 3) wave equation. You will learn different techniques to solve these equations. Topics include separation of variables, Fourier analysis, SturmLiouville theory, spherical coordinates and Legendre’s equation, cylindrical coordinates and Bessel’s equation, method of characteristics, and Green's functions. You will also learn the basics of how to discretize linear and nonlinear PDEs and solve them numerically. Emphasis will be on physical understanding of the governing equations and the resulting solutions. You will learn to use software and write code (Python, Matlab, Mathematica) to solve PDEs and visualize the solutions. Prior knowledge of any of these languages/software, although helpful, is not required.


CHE 4002
–
F 3:25PM  4:40PM


Required recitation for CHE 4001


CHE 4141
William Renninger
TR 11:05AM  12:20PM


Advanced techniques utilizing vector calculus, series expansions, contour integration, integral transforms (Fourier, Laplace and Hilbert) asymptotic estimates, and second order differential equations.


CHE 4142
William Renninger
F 11:05AM  12:20PM


Advanced techniques utilizing vector calculus, series expansions, contour integration, integral transforms (Fourier, Laplace and Hilbert) asymptotic estimates, and second order differential equations.


CHE 4335
Andrea Pickel
TR 11:05AM  12:20PM


Understanding energy transport and conversion at the nanoscale requires a detailed picture of interactions among molecules, electrons, phonons, and photons. This course draws on relevant concepts of statistical thermodynamics and solidstate physics to describe the physical mechanisms of energy transport and conversion in nanoscale systems. Topics covered include kinetic theory of gases, thermodynamic distribution functions, energy carrier dispersion relations, Boltzmann transport equation modeling of thermal and electrical properties, size effects (classical and quantum) on material properties, and thermoelectric and photovoltaic energy conversion.


CHE 4411
David Foster
MW 4:50PM  6:05PM


This course will acquaint the student with important topics in advanced transport phenomena (momentum, heat and mass transport). Topics include laminar and turbulent flow, thermal conductivity and the energy equation, molecular mass transport and diffusion with heterogeneous and homogeneous chemical reactions. Focus will be to develop physical understanding of principles discussed and with emphasis on chemical engineering applications. In addition to the text, the student will be exposed to classic and current literature in the field.


CHE 4441
Mitchell Anthamatten
TR 2:00PM  3:15PM


Blank Description


CHE 4442
Mitchell Anthamatten
M 3:25PM  4:40PM


Blank Description


CHE 4541
Matthew Yates
MW 9:00AM  10:15AM


Lectures on the fundamentals of colloids and interfaces, systems with high interfacial area, and their role in modern processes and products. Topics include interfacial tension, contact angle, adsorption, surfactants, miscelles, microemulsions, and colloidal dispersions. Techniques for formation and characterization of interfaces and colloids will be reviewed.


CHE 4581
Mark Mathias
TR 6:15PM  7:30PM


This course will present principles of electrochemistry and electrochemical engineering, leading into design considerations for the development of battery and fuel cell systems. The course will prepare you to understand the role of energy conversion and storage to address environmental challenges, with specific focus on electric vehicles and loadleveling of the electric grid.


CHE 4682
David Foster
TR 4:50PM  6:05PM


This course will provide an introduction to computational fluid dynamics (CFD) with emphasis on both the theory and the practical application to simple and complex problems. The course begins with a study of finite difference and finite volume models of onedimensional partial differential equations. These equations are central to the understanding of more complex CFD models. The course will use ANSYS Fluent, a commercial CFD code, to solve both simple and complex simulations including both laminar and turbulent flow as well as heat transfer. The course will be a combination of traditional lectures, inclass projects and independent project work.


CHE 4761
Wyatt Tenhaeff
TR 9:40AM  10:55AM


An introduction to polymerization reaction mechanisms. The kinetics of commercially relevant polymerizations are emphasized along with a discussion of important, contemporary polymerization schemes. Approaches to functionalize polymers and surfaceinitiated polymerizations will also be covered. An overview of polymer characterization techniques, emphasizing compositional analysis. Prerequisite CHE 226 or permission of instructor.


CHE 47801
Andrew White
MW 10:25AM  11:40AM


This is an advanced elective where students will learn and implement recent advances of machine learning in materials and chemistry. Students will learn to apply machine learning to a variety of problems in chemistry and materials science, especially deep learning with graphs and point clouds. This course assumes Python programming experience, probability theory, and basic chemistry knowledge. Topics covered are regression, classification, unsupervised learning, kernel methods, deep learning, graph convolutional neural networks, statistical learning theory, quantum machine learning, generative models, autoregressive models, active learning, Bayesian optimization, equivariance, and deep learning with point clouds. Potential special topics include natural language processing, Monte Carlo tree search for retrosynthesis, reinforcement learning, and metalearning. Each of these topics are individually complex so only their application in chemistry and materials will emphasized.


CHE 4871
Alexander Shestopalov
TR 11:05AM  12:20PM


Graduate and advanced undergraduate course on surfacespecific analytical techniques. The first few lectures of the course will cover basic thermodynamics and kinetics of solidliquid and solidgas interfaces, including surface energy and tension, surface forces, adsorption and chemisorption, and selfassembly. The rest of the class will focus on surface spectroscopy and microscopy, including Xray and UV photoelectron spectroscopy, Auger spectroscopy, secondary ion mass spectrometry, IR and Raman spectroscopy/microscopy and scanning probe microscopy.

Fall 2023
Number  Title  Instructor  Time 

Monday  
CHE 4442
Mitchell Anthamatten


Blank Description 

Monday and Wednesday  
CHE 4541
Matthew Yates


Lectures on the fundamentals of colloids and interfaces, systems with high interfacial area, and their role in modern processes and products. Topics include interfacial tension, contact angle, adsorption, surfactants, miscelles, microemulsions, and colloidal dispersions. Techniques for formation and characterization of interfaces and colloids will be reviewed. 

CHE 47801
Andrew White


This is an advanced elective where students will learn and implement recent advances of machine learning in materials and chemistry. Students will learn to apply machine learning to a variety of problems in chemistry and materials science, especially deep learning with graphs and point clouds. This course assumes Python programming experience, probability theory, and basic chemistry knowledge. Topics covered are regression, classification, unsupervised learning, kernel methods, deep learning, graph convolutional neural networks, statistical learning theory, quantum machine learning, generative models, autoregressive models, active learning, Bayesian optimization, equivariance, and deep learning with point clouds. Potential special topics include natural language processing, Monte Carlo tree search for retrosynthesis, reinforcement learning, and metalearning. Each of these topics are individually complex so only their application in chemistry and materials will emphasized. 

CHE 4411
David Foster


This course will acquaint the student with important topics in advanced transport phenomena (momentum, heat and mass transport). Topics include laminar and turbulent flow, thermal conductivity and the energy equation, molecular mass transport and diffusion with heterogeneous and homogeneous chemical reactions. Focus will be to develop physical understanding of principles discussed and with emphasis on chemical engineering applications. In addition to the text, the student will be exposed to classic and current literature in the field. 

Monday, Wednesday, and Friday  
CHE 4001
Hussein Aluie


Physical phenomena in a wide range of areas such as fluid and solid mechanics, electromagnetism, quantum mechanics, chemical diffusion, and acoustics are governed by Partial Differential Equations (PDEs). In this course, you will learn how to solve a variety of BVPs, each of which is defined by a PDE, boundary conditions, and possibly initial conditions. We will cover the classical PDEs of mathematical physics: 1) diffusion equation, 2) Laplace equations, 3) wave equation. You will learn different techniques to solve these equations. Topics include separation of variables, Fourier analysis, SturmLiouville theory, spherical coordinates and Legendre’s equation, cylindrical coordinates and Bessel’s equation, method of characteristics, and Green's functions. You will also learn the basics of how to discretize linear and nonlinear PDEs and solve them numerically. Emphasis will be on physical understanding of the governing equations and the resulting solutions. You will learn to use software and write code (Python, Matlab, Mathematica) to solve PDEs and visualize the solutions. Prior knowledge of any of these languages/software, although helpful, is not required. 

Tuesday  
Tuesday and Thursday  
CHE 4761
Wyatt Tenhaeff


An introduction to polymerization reaction mechanisms. The kinetics of commercially relevant polymerizations are emphasized along with a discussion of important, contemporary polymerization schemes. Approaches to functionalize polymers and surfaceinitiated polymerizations will also be covered. An overview of polymer characterization techniques, emphasizing compositional analysis. Prerequisite CHE 226 or permission of instructor. 

CHE 4141
William Renninger


Advanced techniques utilizing vector calculus, series expansions, contour integration, integral transforms (Fourier, Laplace and Hilbert) asymptotic estimates, and second order differential equations. 

CHE 4335
Andrea Pickel


Understanding energy transport and conversion at the nanoscale requires a detailed picture of interactions among molecules, electrons, phonons, and photons. This course draws on relevant concepts of statistical thermodynamics and solidstate physics to describe the physical mechanisms of energy transport and conversion in nanoscale systems. Topics covered include kinetic theory of gases, thermodynamic distribution functions, energy carrier dispersion relations, Boltzmann transport equation modeling of thermal and electrical properties, size effects (classical and quantum) on material properties, and thermoelectric and photovoltaic energy conversion. 

CHE 4871
Alexander Shestopalov


Graduate and advanced undergraduate course on surfacespecific analytical techniques. The first few lectures of the course will cover basic thermodynamics and kinetics of solidliquid and solidgas interfaces, including surface energy and tension, surface forces, adsorption and chemisorption, and selfassembly. The rest of the class will focus on surface spectroscopy and microscopy, including Xray and UV photoelectron spectroscopy, Auger spectroscopy, secondary ion mass spectrometry, IR and Raman spectroscopy/microscopy and scanning probe microscopy. 

CHE 4441
Mitchell Anthamatten


Blank Description 

CHE 4682
David Foster


This course will provide an introduction to computational fluid dynamics (CFD) with emphasis on both the theory and the practical application to simple and complex problems. The course begins with a study of finite difference and finite volume models of onedimensional partial differential equations. These equations are central to the understanding of more complex CFD models. The course will use ANSYS Fluent, a commercial CFD code, to solve both simple and complex simulations including both laminar and turbulent flow as well as heat transfer. The course will be a combination of traditional lectures, inclass projects and independent project work. 

CHE 4581
Mark Mathias


This course will present principles of electrochemistry and electrochemical engineering, leading into design considerations for the development of battery and fuel cell systems. The course will prepare you to understand the role of energy conversion and storage to address environmental challenges, with specific focus on electric vehicles and loadleveling of the electric grid.


Wednesday  
CHE 4962
Marc Porosoff


Departmental seminar. Graduate students must register, zero credits. Attendance is mandatory and lettergraded. 

Thursday  
Friday  
CHE 4142
William Renninger


Advanced techniques utilizing vector calculus, series expansions, contour integration, integral transforms (Fourier, Laplace and Hilbert) asymptotic estimates, and second order differential equations. 

CHE 4002
–


Required recitation for CHE 4001 