1 citations · 1 across the 5 of their papers we have counts for
5 papers
Synthesis of mass-spring networks from high-level code descriptions
Parisa Omidvar, Marc Serra-Garcia
Structural nonlinearity can be harnessed to program complex functionalities in robotic devices. However, it remains a challenge to design nonlinear systems that will accomplish a s…
Racetrack computing with a topological boundary ratchet
Parisa Omidvar, Markus Bestler, Sima Zahedi Fard +2
Multistable order parameters provide a natural means of encoding non-volatile information in spatial domains, a concept that forms the foundation of magnetic memory devices. Howeve…
Embodying computation in nonlinear perturbative metamaterials
Sima Zahedi Fard, Paolo Tiso, Parisa Omidvar +1
Designing metamaterials that carry out advanced computations poses a significant challenge. A powerful design strategy splits the problem into two steps: First, encoding the desire…
Reprogrammable, in-materia matrix-vector multiplication with floppy modes
Theophile Louvet, Parisa Omidvar, Marc Serra-Garcia
Matrix-vector multiplications are a fundamental building block of artificial intelligence; this essential role has motivated their implementation in a variety of physical substrate…
Binary classification of spoken words with passive phononic metamaterials
Tena Dubček, Daniel Moreno-Garcia, Thomas Haag +11
Mitigating the energy requirements of artificial intelligence requires novel physical substrates for computation. Phononic metamaterials have a vanishingly low power dissipation an…