ALBANY, N.Y. (Information10) — Professor of Nanoscale Engineering Dr. Ji Ung Lee of the Condition University of New York Polytechnic Institute (SUNY Poly) has been awarded $150,000 in funding, to develop new stacking processes for rising transistor density in computer system chips by the SUNY Applied Supplies Investigate Institute (SAMRI). By utilizing novel interconnect know-how among various transistor layers, this stacked arrangement can serve as a additional cost-effective alternative to shrinking transistors and potentially direct to faster, more ability-effective laptop or computer chips.
“I am grateful to obtain this funding from SAMRI. It will assist SUNY Poly keep its vital exploration-focused position supporting the continuation of Moore’s Legislation devoid of possessing to shrink transistors, which can lead to laptop chips turning into faster and additional inexpensive, though we also look for to permit extra effective AI-particular components,” mentioned Dr. Lee. “I also glimpse ahead to performing closely with Daniel Steinke of NY Makes to build these impressive procedures utilizing the 300mm wafer line that is obtainable at the Albany Nanotech Complicated.”
SAMRI is a partnership involving SUNY and Utilized Supplies, Inc., that serves as an epicenter for study and development activities on state-of-the-art products, units, production, and emerging spots of science and engineering. As component of this SAMRI award, a PhD researcher is expected to be part of and support this operate.
“On behalf of SUNY Poly, I congratulate Dr. Lee for staying picked to obtain this award which could lead to future-technology personal computer chips that are equally speedier and considerably less expensive to generate, and could help contribute to addressing the chip scarcity in the long run,” mentioned SUNY Poly Acting President Dr. Tod Laursen. “Dr. Lee’s investigation is a testomony to the caliber of this institute’s college, and it showcases how New York Point out and SUNY Poly’s collaborative significant-tech initiatives can assist fulfill the nation’s superior computing requirements.”
