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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Explore cutting-edge features in Q-Chem 6, including spectroscopy modeling, energy decomposition analysis, DFT improvements, quantum mechanochemistry, and nuclear-electronic orbital methods.
Learn how to configure and deploy Q-Cloud for quantum chemistry calculations on AWS, covering installation, architecture overview, and cluster setup procedures.
Explore EA-TDDFT for accurate X-ray absorption spectra calculations. Learn its applications in liquid-phase systems, glycerol aerosols, and Fe(CO)5 photodissociation, revealing insights into electronic and nuclear structure interplay.
Master Q-Chem software through hands-on sessions covering DFT, geometry optimization, spectroscopy, solvent models, and coupled cluster methods for computational chemistry applications.
Explore constrained CASSCF methods for studying electron transfer in open quantum systems and learn tight-binding approximations for large-scale quantum chemistry calculations.
Explore nonadiabatic transitions in renewable energy catalysis using ab initio electronic structure theory and symmetric quasi-classical Meyer-Miller models.
Explore advanced NEO methods in Q-Chem for incorporating nuclear quantum effects like zero-point energy and hydrogen tunneling into electronic structure calculations.
Explore recent coupled cluster developments in Q-Chem, including EOM-CCSDT variants and CCSDt method for accurate electron correlation in challenging molecular systems.
Explore XCIS-CVS implementation in Q-Chem for modeling core-to-valence transitions and X-ray absorption spectroscopy in open-shell systems and transition-metal complexes.
Explore advancements in Q-Chem's PBC package for periodic systems, including hybrid DFT speedup and MPI parallelization. Learn about current functionality and future development directions.
Explore QMHub for efficient QM/MM simulations in biochemical reactions, combining enhanced sampling and machine learning for accurate modeling of biomolecular systems.
Crash course on IQmol: build molecules, submit calculations, analyze results. Includes overview and hands-on lab exercise for Q-Chem's graphical interface.
Explore energy decomposition analysis techniques in Q-Chem, including the new force decomposition analysis method, with Yuezhi Mao from UC San Diego.
Explore recent developments and new features in Q-Chem code with Martin Head-Gordon from UC Berkeley, highlighting advancements in computational chemistry software.
Explore computational spectroscopy techniques in Q-Chem, covering vibrational, vibronic, and electronic spectroscopies for UV/Vis and X-ray domains. Includes lab exercise for hands-on learning.
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