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dc.contributor.authorSchmid, Ph. A. E.
dc.date.accessioned2022-11-04T10:39:04Z
dc.date.available2022-11-04T10:39:04Z
dc.date.issued2022-11-03
dc.identifier.citation7th CSEM Business Dayen_US
dc.identifier.urihttps://yoda.csem.ch/handle/20.500.12839/1060
dc.description.abstractSIMPLIFYING THE WORLD OF MATERIALS PROPERTIES EVALUATION USING AI Mettler-Toledo, together with CSEM and ZHAW has developed AIWizard: An artificial intelligence (AI) option for their STARe software that will make it easier to interpret DSC curves for thermal analysis. Currently, manufacturers have high expectations surrounding the performance of their materials. A sealing ring must not become brittle, a PET bottle cannot deform, and medications need to react within the body at exactly the right time. Across the material science domain, Mettler-Toledo’s dynamic Differential Scanning Calorimeter (DSC) has become an indispensable tool for many. Thermal analysis makes a valuable contribution from quality control to research and development of materials and chemical compounds.en_US
dc.language.isoenen_US
dc.subjectDeep Learningen_US
dc.subjectAIen_US
dc.subjectChemistry-informed neural networken_US
dc.titleAIWizard – Simplifying the evaluation and interpretation of Differential Scanning Calorimetry curvesen_US
dc.typeConferenceen_US
dc.type.csemdivisionsDiv-Ren_US
dc.type.csemresearchareasIndustry 4.0en_US


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