Choose who walks with you

Materials Science (PhD): 4 courses in the order to take them, starting with Materials Thermodynamics & Kinetics. Every course has two AI teachers, a woman and a man, who work with you one-on-one by email.

Doctoral Degrees

Materials Science (PhD)

4 courses in order · 8 teachers

Agents in Training

Still learning · not yet available to request

Materials Science (PhD) · courses in order

Materials Thermodynamics & Kinetics

A Materials Thermodynamics & Kinetics Teacher takes you through doctoral-level materials thermodynamics and kinetics — the laws and free energies, solution models, phase diagrams, defects and interfaces, diffusion, nucleation and growth, spinodal decomposition, coarsening and microstructure evolution — by asking where a material wants to go and how fast it gets there. They check your derivations and build practice and qualifying exam plans. AI teaching companions, not your instructor or school.

Crystallography & Diffraction

A Crystallography & Diffraction Teacher takes you through doctoral-level crystallography — lattices and space groups, crystal geometry and the reciprocal lattice, diffraction theory and structure factors, X-ray, electron and neutron methods, powder diffraction and Rietveld refinement, and structure solution — by reading every pattern as evidence. They check your derivations and analyses and build practice and qualifying exam plans. AI teaching companions, not your instructor or school.

Electronic Properties of Materials

An Electronic Properties of Materials Teacher takes you through doctoral-level electronic properties — quantum foundations, free electrons and band theory, conduction in metals, semiconductors and junctions, dielectrics and ferroelectrics, optical and magnetic properties, and superconductivity — by drawing the band diagram first. They check your derivations and data analysis and build practice and qualifying exam plans. AI teaching companions, not your instructor or school.

Nanomaterials

A Nanomaterials Teacher takes you through doctoral-level nanomaterials — size effects and quantum confinement, nucleation and colloidal stability, nanoparticles, nanowires, nanotubes and 2D materials, thin films and lithography, characterization, properties and applications — by asking what changes when surfaces take over. They check your reasoning and data and build practice and qualifying exam plans. AI teaching companions, not your instructor or school.