Neural network provides accurate simulations without the cost

An efficient new computer brain can provide quick answers to computational chemistry problems

A computer that has been taught about organic chemistry can describe the forces in molecules as accurately as density functional theory (DFT), but hundreds of thousands of times faster. This combination of speed and accuracy could allow researchers to tackle problems that were previously impossible.

Chemists hoping to use computer simulations face a dilemma. Researchers commonly need to know the energy of a molecule, and the forces that control how it twists and bends. Accurate methods like DFT, which use quantum mechanics, take the most computer power and time. Approximations such as semi-empirical methods give faster but less reliable results. Although there is a spectrum of options, most techniques ask researchers to trade off speed and accuracy.

Read the full story by Alexander Whiteside on Chemistry World.



Source: © Royal Society of Chemistry
The neural network can predict molecular energies hundreds of thousands of times faster than DFT

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