Spring 2025

Chemical bonding and structure in crystalline, amorphous and molecular solids; tendency and mechanisms for chemical change; homogeneous and heterogeneous equilibria.

Mechanical behavior of metals, polymers, ceramics, and composites. Structure-process-property relationships. Mechanical testing, stress-strain relationships, microstructural characteristics and analysis. Material failure (fracture, fatigue, creep) and degradation.

Introduction to machine learning (ML) for materials applications; basic concepts of machine learning, statistics and probability.

Individual research and readings. Not available for graduate credit.

Atomic electronic states, molecular bonding, crystal structures, diffraction, reciprocal lattice, Brillouin zones, crystal binding, lattice vibrations, specific heat, anharmonic effects, energy bands, metals, conductivity.

Phase equilibria, phase diagrams, diffusion, planar defects, nucleation and growth, spinodal decomposition, phase transformation.

Introduction to machine learning, basics of python programming and data science tools; hands-on projects of materials and process modeling based on machine learning methods.

Survey of materials science issues relevant to a zero-carbon energy future; material properties; the influence of extreme environments; manufacturing considerations; and sourcing of materials.

Understanding deep learning: for students in engineering, physical and life sciences and computer science with mathematical background.

Behavior of materials under cyclic and static fatigue; plastic instability; life-time predictions; brittle and ductile fracture; crack propagation and plastic blunting.

Modeling of materials and processes such as mechanical, thermodynamical, and transport properties using Molecular Dynamics simulation, interatomic potentials including long-range coulomb interactions and quantum corrections.

Materials selection in relationship to design and fabrication, economic considerations, methodology of selection, performance parameters; case studies.

Research leading to the Master's Degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of Thesis.

Credit on acceptance of Thesis.

Credit on acceptance of Thesis.

Seminar in Materials Science research.

Selected topics in Materials Science.

Research leading to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of Dissertation.

Credit on acceptance of Dissertation.

Credit on acceptance of Dissertation.

Credit on acceptance of Dissertation.

Credit on acceptance of Dissertation.