Our brain is capable of retaining a trove of information and operate on it at a fraction of the cost of our current computing devices. This is partly due to the fact that, unlike traditional computers, the computing and memory units are not distinct in our brains. Ferroic materials often possess a large array of atomic structures which are very close in energy but have significantly different electrical or magnetic properties. They are thus ideal candidates to develop resistors and capacitors with memory effects, which are the building blocks of neuromorphic computing hardware, i.e. brain-like computing!
At the Smart Ferroic Materials Center, we design novel and better materials to develop the next generation of neuromorphic hardware computing, capable of operating on big datasets at a fraction of the energy budget of traditional computing methods. Check out our recent works, our open positions and, if you want to work with us, don’t hesitate to contact one of our faculty member!