CORDIS Project
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This project develops advanced machine learning methods to optimize chemical compounds by enhancing their biological activity and reducing toxicity. It aims to improve the applicability of predictive models in environmental chemistry and facilitate technology transfer to industry.
Optimising biological activity and physico-chemical properties, while minimising their toxicity, are objectives when developing new compounds in chemical industries.
Advanced machine learning (AI) methods are indispensable to this process.
They are also increasingly used in environmental chemistry to identify compounds damaging to the environment and humans.
Traditional machine learning (ML) methods provide reliable predictions though only for compounds similar to the training set, thus defini…
HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Sweden, Sodertaelje
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Germany, Leverkusen
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Germany, Berlin
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
France, GENTILLY
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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