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Project Overview

Project Code: NAT 02

Project name:

Machine learning in electrochemistry

TUM Department:

NAT - Chemistry

TUM Chair / Institute:

Digital Catalysis

Research area:

Electrochemistry, Batteries, Machine Learning

Student background:

Chemical Engineering

Further disciplines:

Participation also possible online only:

Planned project location:

Offices and labs of the Professorship for Digital Catalysis in Garching - Forschungszentrum Garching Chemistry Department and Catalysis Research Center

Project Supervisor - Contact Details


Title:

Prof. Dr.-Ing.

Given name:

Helge

Family name:

Stein

E-mail:

helge.stein@tum.de

Phone:

015141223478

Additional Project Supervisor - Contact Details


Title:

M.Sc.

Given name:

Leah

Family name:

Nuss

E-mail:

leah.nuss@tum.de

Phone:

Additional Project Supervisor - Contact Details


Title:

Given name:

Family name:

E-mail:

Phone:

Project Description


Project description:

We will explore lab automation and data analysis for electrochemical experiments. The Project will most likely revolve around synthesis and characterization of nanoparticles or microparticles for catalysis and or batteries. We have a series of robotic setups that allow us to generate pertinent data for all kinds of applications. For this project call we will offer a projects related to:
1) Building extensions to existing robotic manufacturing setups for a table top battery factory
2) Data analysis of images from production
3) Automated data interpretation for electrochemistry and catalysis

Working hours per week planned:

40

Prerequisites


Required study level minimum (at time of TUM PREP project start):

2 years of bachelor studies completed

Subject related:

Proficiency in either julia or python
Interest in CAD if needed

Other:

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