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Rational Design of Soft Hierarchical Materials with Responsive Functionalities: Machine learning Soft Matter to create Soft Machines

Project description

In silico engineering of intelligent soft materials

The ability to rationally design soft and responsive materials and control their self-assembly on the nanoscale would open the door to a wealth of applications ranging from sensors and drug delivery to smart coatings and nanoreactors. Microgels have been the subject of intensive research and development for applications of this kind because they respond to changes in their local environmental parameters such as temperature, pH or strong fields with a change in their swelling. The EU-funded SoftML project is applying computational models and machine learning to the study of nanoparticles coupled to microgels, adding one more level of complexity to already complex materials. Better understanding of multiscale dynamics will support the rational design of soft responsive materials for many important applications.

Host institution

UNIVERSITEIT UTRECHT
Net EU contribution
€ 2 499 918,75
Address
Heidelberglaan 8
3584 CS Utrecht
Netherlands

See on map

Region
West-Nederland Utrecht Utrecht
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Beneficiaries (1)

UNIVERSITEIT UTRECHT
Netherlands
Net EU contribution
€ 2 499 918,75
Address
Heidelberglaan 8
3584 CS Utrecht

See on map

Region
West-Nederland Utrecht Utrecht
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00