Professor Bilge Yildiz’s research focuses on laying the scientific groundwork to enable next-generation electrochemical devices for energy conversion and information processing. She and her research-lab colleagues work on a variety of projects, all centered on the movement of charged atoms in materials. The scientific insights derived from her research guide the design of novel materials for brain-inspired energy-efficient computing, efficient and durable fuel cells, electrolytic water splitting, and solid-state batteries. Professor Yildiz’s approach combines computational and experimental analyses of electronic structure, defect mobility, and composition, using an in situ scanning probe and X-ray spectroscopy together with first-principles calculations and novel atomistic simulations.
Professor Yildiz received a BS in nuclear engineering from Hacettepe University in Ankara, Turkey, in 1999 and a PhD in nuclear science and engineering from MIT in 2003. She stayed at MIT to do postdoctoral research in electrochemistry and then moved to Argonne National Laboratory to investigate structure and chemistry of energy conversion materials using X-ray spectroscopy. She returned to MIT to join the faculty of the Department of Nuclear Science and Engineering and DMSE in 2007. Her research has been published in journals such as Nature Materials, Nature Nanotechnology, Nature Communications, Advanced Materials, and Science.
Nanosecond protonic programmable resistors for analog deep learning
Developed programmable resistors, or artificial synapses—devices that can be used to build analog deep learning processors. Compatible with silicon fabrication techniques, these artificial synapses increase the speed and reduce the energy needed to train neural network models.
Voltage control of ferrimagnetic order and voltage-assisted writing of ferrimagnetic spin textures
Used a small, externally applied voltage to manipulate the magnetic properties of ferrimagnetic materials without attendant structural damage.