SOURCE-LINKED INTELLIGENCE

Meta-stable Smart Metamaterials for Actively-controlled and Reversible Transition waves

CORDIS · observation · Publication date unknown

ike traditional methods, Meta-SMART offers dynamic and reversible control, allowing the metamaterials to adapt autonomously and universally. To optimize these smart metamaterials, we will implement a machine learning-based inverse design strategy to determine their geometrical parameters. Fabrication will involve 3D printing, followed by experimental testing of transition wave control and guidance. This innovation promises to advance the industrial applications of mechanical metamaterials, offering adaptability to external forces and desired outcomes. Potential uses include controlled energy absorption and dissipation for airflow control in aircraft, selective energy absorption in protective surfaces, and even treatment of Parkinson’s disease. The Meta-SMART project represents a valuable opportunity to expand my expertise in smart materials and structures, enhancing my research profile through hands-on experience in testing and fabrication. Training activities such as TU Delft's teachers' training program, workshops on supervising research projects, and advanced courses in machine le

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recordType

award

status

SIGNED

region

EU

value

187624.32

unit

EUR