Deep Dive ML on Simulated Enzyme-Electrolysis Performance
Beschreibung
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.
Eckdaten
Projektleitung
Stellv. Projektleitung
Olaf Stetzer
Projektteam
Dr. Philip Marmet, Dr. Manuel Renold, Felix Matthias Saaro, Prof. Dr. Andreas Witzig
Projektstatus
abgeschlossen, 11/2023 - 03/2024
Institut/Zentrum
Centre for Artificial Intelligence (CAI); Institut für Chemie und Biotechnologie (ICBT); Institute of Computational Physics (ICP); Institut für Datenanalyse und Prozessdesign (IDP)
Drittmittelgeber
NTN Innovation Booster / Databooster
Projektvolumen
10'000 CHF
Technikumstrasse 71
8400 Winterthur