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Computational Chemistry

Computational chemistry is a branch of chemistry that uses computer simulations and mathematical models to solve chemical problems, such as predicting molecular structures, properties, and reaction mechanisms. It combines principles from chemistry, physics, and computer science to perform calculations that are often impractical or impossible in a laboratory setting. Key techniques include quantum chemistry, molecular dynamics, and molecular modeling.

Also known as: Comp Chem, Molecular Modeling, Theoretical Chemistry, Chemoinformatics, Quantum Chemistry
🧊Why learn Computational Chemistry?

Developers should learn computational chemistry when working in fields like drug discovery, materials science, or environmental modeling, where it enables the prediction of molecular behavior without costly experiments. It is essential for roles in scientific software development, bioinformatics, or computational research, as it provides tools to simulate chemical systems, optimize molecular designs, and analyze large datasets from experiments or simulations.

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