Team > Berntgen, Henri

S01: Ecotox Informatics: Predict Microplastics Toxicity, Degradation and Biological Impact with Machine Learning

PhD Candidate Computational Materials Science, Supervisor Prof. Dr. Christopher Künneth

Master in Molecular Ecology

S01: Ecotox Informatics: Predict Microplastics Toxicity, Degradation and Biological Impact with Machine Learning

Using machine learning to study the toxicity of plastics, additives, and degradation pathways, helping to understand how chemical structure influences their impact on health and the environment.

Keywords: Machine Learning, Chemoinformatics, Polymer Science, Toxicity

S01: Ecotox Informatics: Predict Microplastics Toxicity, Degradation and Biological Impact with Machine Learning

Berntgen, Henri
PhD Candidate Computational Materials Science, Supervisor Prof. Dr. Christopher Künneth

FAN D, D.0.32

Universitätstraße 30
95440 Bayreuth

Telefon: +49-921-55-7334
E-Mail: henri.berntgen@uni-bayreuth.de
Homepage:

https://kuenneth.uni-bayreuth.de/en/index.html