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Explore advanced thermodynamic modeling techniques for predicting solubility behavior of pharmaceutical crystal forms including co-crystals, polymorphs, and hydrates.
Explore molecular simulation techniques and equations of state to compute properties of confined fluids in this specialized seminar presentation.
Explore molecular design of metal-organic frameworks and mixed matrix membranes for sustainable technologies through computational approaches and materials science.
Explore athermal excess entropy calculations for molecular mixtures of varying sizes and shapes in this advanced thermodynamics seminar by Prof. J. Richard Elliot.
Discover how stochastic machine learning transforms noisy data into actionable knowledge for advanced materials design and engineering applications.
Discover porous ionic liquids fundamentals, mechanisms, and applications through expert insights from ENS Lyon's Prof. Margarida Costa Gomes in this specialized chemistry seminar.
Explore thermodynamic models and molecular simulations to predict how nanoporous materials deform during adsorption processes with Prof. Nicholas Corrente from Rutgers University.
Discover how thermodynamic principles explain unexpected drug release patterns in pharmaceutical tablets through advanced modeling and analysis techniques.
Discover how classical and quantum modeling reveal the molecular mechanisms behind MRI contrast agents and NMR relaxivity for enhanced medical imaging applications.
Discover how thermodynamics drives innovation in process and product development through expert insights from University of Tulsa's Prof. Nagu Daraboina in this 49-minute seminar.
Explore advanced concepts in gas and liquid properties with Prof. Richard Elliott's seminar, delving into ongoing research and discoveries in this field.
Explore thermochemical energy storage of refrigerants in porous materials, focusing on traditional and blended types, with insights from Prof. Azahara Luna-Triguero's research.
Explore data analysis and equation of state modeling for thermodynamic properties of aqueous and mixed-solvent electrolyte solutions with Ph.D. Fufang Yang.
Explore molecular simulations of ionic liquid systems, examining structural and optoelectronic properties for advanced applications.
Explore machine learning techniques to enhance molecular dynamics simulations, focusing on acceleration and analysis methods for improved efficiency and insights.
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