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Learning to Design Sweet Renewable Hydrogels - Development of Experimental Protocols and Deep Learning Models to Decode Complex Structure-Function Relatioships

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Learning to Design Sweet Renewable Hydrogels - Development of Experimental Protocols and Deep Learning Models to Decode Complex Structure-Function Relatioships Gels are 3D entangled polymer or particle networks that present, simultaneously, solid and liquid-like properties. Gels are widely present in daily life products such as contact lenses, food thickeners, platforms for drug delivery, or wound healing ointments, among others. Carbohydrate-based hydrogels have gathered increasing attention for a wide range of biomedical and industrial applications (e.g. tissue engineering or water decontamination) due to their biocompatible, biodegradable and non-immunogenic features. However, the development of most gel-like materials is currently limited due their high production costs and greatly pollutant manufacturing techniques. In addition, the great structural complexity of gels, where different lengths scales and isotropic and anisotropic phases coexist, limit their characterisat

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recordType

award

status

CLOSED

region

EU

value

181152.96

unit

EUR