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of Applied Sciences

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Deep Dive ML on Simulated Enzyme-Electrolysis Performance

Description

The goal of this pilot study is to research requirements needed to develop a computational model that simulates the fluidic and electro-biochemical dynamics in the power-to-liquid process in order to optimise the performance, efficiency and longevity of enzymes.

Key data

Deputy Projectlead

Olaf Stetzer

Project status

completed, 11/2023 - 03/2024

Institute/Centre

Centre for Artificial Intelligence (CAI); Institute of Computational Physics (ICP)

Funding partner

NTN Innovation Booster / Databooster

Project budget

10'000 CHF

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