A new class of bioinspired mechanical metamaterials


The aim of the EU-funded BOHEME project is the technological development of a new class of mechanical metamaterials, drawing inspiration from Nature for their design.
Exploiting knowledge from various disciplines (from biology to mathematics, from ocean engineering to materials science), we start from the inovative assumption that the working principle behind metamaterials is already exploited in nature and that through evolution this has led to optimised designs for wave and vibration control and impact damping.
BOHEME will take a disruptive approach for applications over various wavelength scales, from non-destructive testing to noise reduction to low-frequency vibration control (including seismic waves), to coastal protection or energy harvesting from ocean waves.

Marco Miniaci winner of MSCA 2020.HR prize

Marco Miniaci winner of MSCA 2020.HR prize

BOHEME participant Marco Miniaci winner of the MSCA2020.HR award (Impact of MSCA on fellows’ career development for experienced researchers)

Webinar on Bio-inspired metamaterials by Marco Miniaci

Webinar on Bio-inspired metamaterials by Marco Miniaci

Project participant Marco Miniaci will be holding a webinar on “Bio-inspired hierarchical metamaterials” on 16th June 2020 (2 pm GMT), part of a series of seminars organized by META-MAT: see meta-mat.org/seminar/

New publication on Nature Communications

New publication on Nature Communications

BOHEME researchers working at Politecnico di Torino, CNRS and EMPA have developed metamaterials that can be tuned by light. The work has been published in Nature Communications

 

FET OPEN on Bio-inspired Metamaterials coordinated by University of Trento

FET OPEN on Bio-inspired Metamaterials coordinated by University of Trento

Prof. Pugno on the regional TV news Buongiorno Regione Trentino Alto Adige (20:50) and TGR Trentino (08:10) talking about BOHEME - Bio-Inspired Hierarchical MetaMaterials, 31 January 2020.
Download video [In Italian] 

Funded by:

EU flag
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 863179.