Graduate Program

Fall Term Schedule

Fall 2023

Number	Title	Instructor	Time
CHE 400-1 Applied Boundary Value Prob 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, Sturm-Liouville 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. Location Dewey Room 2162 (MWF 11:50AM - 12:40PM)
CHE 400-2 App Boundary Value Prob-Rec – F 3:25PM - 4:40PM
Required recitation for CHE 400-1 Location Computer Studies Room 209 (F 3:25PM - 4:40PM)
CHE 414-1 Math Meth of Optics & Phy 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. Location Goergen Hall Room 108 (TR 11:05AM - 12:20PM)
CHE 414-2 Math Methods for Optics-Rec 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. Location Goergen Hall Room 108 (F 11:05AM - 12:20PM)
CHE 433-5 Nano Energy Transport & Con 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 solid-state 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. Location Meliora Room 224 (TR 11:05AM - 12:20PM)
CHE 441-1 Adv Transport Phenomena 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. Location Hylan Building Room 102 (MW 4:50PM - 6:05PM)
CHE 444-1 Heat & Mass Transfer Mitchell Anthamatten TR 2:00PM - 3:15PM
Blank Description Location Gavett Hall Room 202 (TR 2:00PM - 3:15PM)
CHE 444-2 Heat & Mass Transfer Rec Mitchell Anthamatten M 3:25PM - 4:40PM
Blank Description Location Goergen Hall Room 109 (M 3:25PM - 4:40PM)
CHE 454-1 Interfacial Engineering 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. Location Bausch & Lomb Room 269 (MW 9:00AM - 10:15AM)
CHE 458-1 Electrochem Batt & Fuel Cell 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 load-leveling of the electric grid. Location Goergen Hall Room 108 (TR 6:15PM - 7:30PM)
CHE 468-2 Fundamentals of Computational Fluid Dynamics 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 one-dimensional 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, in-class projects and independent project work. Location Hylan Building Room 307 (TR 4:50PM - 6:05PM)
CHE 476-1 Polymer Chemistry 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 surface-initiated polymerizations will also be covered. An overview of polymer characterization techniques, emphasizing compositional analysis. Prerequisite CHE 226 or permission of instructor. Location Hylan Building Room 203 (TR 9:40AM - 10:55AM)
CHE 478-01 Machine Learning of Molecules and Materials 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 meta-learning. Each of these topics are individually complex so only their application in chemistry and materials will emphasized. Location Hylan Building Room 305 (MW 10:25AM - 11:40AM)
CHE 487-1 Surface Analysis Alexander Shestopalov TR 11:05AM - 12:20PM
Graduate and advanced undergraduate course on surface-specific analytical techniques. The first few lectures of the course will cover basic thermodynamics and kinetics of solid-liquid and solid-gas interfaces, including surface energy and tension, surface forces, adsorption and chemisorption, and self-assembly. The rest of the class will focus on surface spectroscopy and microscopy, including X-ray and UV photoelectron spectroscopy, Auger spectroscopy, secondary ion mass spectrometry, IR and Raman spectroscopy/microscopy and scanning probe microscopy. Location Bausch & Lomb Room 269 (TR 11:05AM - 12:20PM)

Number	Title	Instructor	Time
Monday
CHE 444-2 Heat & Mass Transfer Rec Mitchell Anthamatten
Blank Description
Monday and Wednesday
CHE 454-1 Interfacial Engineering 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 478-01 Machine Learning of Molecules and Materials 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 meta-learning. Each of these topics are individually complex so only their application in chemistry and materials will emphasized.
CHE 441-1 Adv Transport Phenomena 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 400-1 Applied Boundary Value Prob 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, Sturm-Liouville 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 476-1 Polymer Chemistry 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 surface-initiated polymerizations will also be covered. An overview of polymer characterization techniques, emphasizing compositional analysis. Prerequisite CHE 226 or permission of instructor.
CHE 414-1 Math Meth of Optics & Phy 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 433-5 Nano Energy Transport & Con 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 solid-state 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 487-1 Surface Analysis Alexander Shestopalov
Graduate and advanced undergraduate course on surface-specific analytical techniques. The first few lectures of the course will cover basic thermodynamics and kinetics of solid-liquid and solid-gas interfaces, including surface energy and tension, surface forces, adsorption and chemisorption, and self-assembly. The rest of the class will focus on surface spectroscopy and microscopy, including X-ray and UV photoelectron spectroscopy, Auger spectroscopy, secondary ion mass spectrometry, IR and Raman spectroscopy/microscopy and scanning probe microscopy.
CHE 444-1 Heat & Mass Transfer Mitchell Anthamatten
Blank Description
CHE 468-2 Fundamentals of Computational Fluid Dynamics 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 one-dimensional 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, in-class projects and independent project work.
CHE 458-1 Electrochem Batt & Fuel Cell 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 load-leveling of the electric grid.
Wednesday
CHE 496-2 Research Seminar Marc Porosoff
Departmental seminar. Graduate students must register, zero credits. Attendance is mandatory and letter-graded.
Thursday
Friday
CHE 414-2 Math Methods for Optics-Rec 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 400-2 App Boundary Value Prob-Rec –
Required recitation for CHE 400-1