Machine learning methods for accelerated generative equipment design for new medicines

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Ralph, Thomas (2022) Machine learning methods for accelerated generative equipment design for new medicines. In: CMAC Annual Open Day 2022, 2022-05-16 - 2022-05-18.

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Abstract

Simulation of the virus inactivation process within coiled reactors can be solved using multi -physics software such as COMSOL, Ansys Fluent, etc. These simulations can take up to weeks to finish processing, creating a bottleneck when trying to discover new medicines. The goal of this project is to design a variety of neural networks using machine learning which will aim to decrease virus inactivation simulation time.

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https://doi.org/10.17868/strath.00081761
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