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Guided learning journeys that build knowledge step by step.
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This advanced learning path covers the physical chemistry of polymers, progressing from fundamental thermodynamics and statistical mechanics to polymer solutions, phase behavior, thermal transitions, and mechanical properties. It emphasizes the Flory-Huggins theory, glass transition, crystallinity, and viscoelasticity, providing a systematic understanding of structure-property relationships.
This advanced learning path guides university students through the physical chemistry underlying light-matter interactions, from quantum mechanical foundations to photochemical applications. It covers essential spectroscopy, the Jablonski diagram, radiative and non-radiative processes, energy transfer, and photosensitization, culminating in practical photochemical reactions.
This advanced learning path guides university students through the theoretical foundations and practical applications of molecular dynamics (MD) simulations. Starting with statistical thermodynamics and programming basics, the path covers force fields, integration algorithms, periodic boundary conditions, thermostats/barostats, and trajectory analysis, culminating in the design and execution of MD simulations.
This learning path equips university students with the skills to perform molecular modeling using computational chemistry software such as Gaussian, Q-Chem, ORCA, and VASP. Starting from fundamental quantum chemistry, it progresses through hands-on software usage, job management, and analysis of results, culminating in practical applications for research or industry.
This advanced learning path systematically explores the physical chemistry of surfaces and heterogeneous catalysis. It covers surface structure, adsorption phenomena, surface reactions, catalyst characterization, and the kinetics of catalytic processes, building from foundational thermodynamics and kinetics to advanced topics.
This learning path guides graduate students in physical chemistry from foundational quantum mechanics and light-matter interactions through nonlinear optical processes to advanced techniques like pump-probe and 2D IR spectroscopy. It emphasizes the conceptual and methodological connections between ultrafast and multidimensional spectroscopies, including 2D NMR, and their applications to structural dynamics.
This advanced learning path guides students specializing in reaction dynamics through the fundamental concepts required to understand molecular collisions and reactions. It covers potential energy surfaces, classical and quantum dynamics, statistical theories, and experimental techniques, culminating in a comprehensive understanding of how microscopic interactions determine macroscopic reaction rates.
This path guides learners from foundational quantum mechanics and many-electron systems through the Hartree-Fock method, basis sets, electron correlation, post-HF methods, and density functional theory. It emphasizes the conceptual prerequisites and the connections between wavefunction-based and density-based approaches in computational chemistry.
This path guides learners from fundamental quantum concepts through the hydrogen atom solution, spin, many-electron atoms, and the Born-Oppenheimer approximation, culminating in molecular orbital theory for H₂⁺ and H₂. It emphasizes the mathematical and conceptual dependencies essential for advanced quantum chemistry.
This path guides learners from foundational concepts of statistical mechanics to the application of partition functions for calculating thermodynamic properties. It covers translational, rotational, vibrational, and electronic contributions, and culminates in the computation of heat capacities, entropies, and equilibrium constants.