Quanxi Jia

Quanxi Jia is a SUNY Distinguished Professor, Empire Innovation Professor, and National Grid Professor of Materials Research at the University at Buffalo. He holds appointments in the Department of Materials Design and Innovation within the School of Engineering and Applied Sciences and serves as Scientific Director of the New York State Center of Excellence in Materials Informatics (CMI).

Education:

• PhD in Electrical and Computer Engineering, University at Buffalo, 1991
• MS in Electronic Engineering, Jiaotong University, Xian, China, 1985
• BS in Electronic Engineering, Jiaotong University, Xian, China, 1982

Research Focus: Jia's work centers on advanced electronic and energy materials, particularly epitaxial thin films and heterostructures. His research investigates processing-structure-property relationships, monolithic integration of functional materials, and superconductors for quantum/energy applications. Key methodologies include pulsed laser deposition and polymer-assisted techniques, with emphasis on oxide heterostructures, memristive devices, and multiferroic systems for next-generation electronics.

Publication Trends: Recent publications (2023-2025) reveal dominant focus on neuromorphic computing via resistive switching devices (58% of sampled works), superconducting thin films for quantum applications (20%), and strain-engineered oxide heterostructures (22%). His group pioneers HfO₂-based artificial neurons, NbN superconducting films on CMOS platforms, and multiferroic membranes, demonstrating strong industry-academia translation potential.

Scientific Recognition:

• Fellow of Los Alamos National Laboratory
• Fellow of Materials Research Society (MRS)
• Fellow of American Physical Society (APS)
• Fellow of American Ceramic Society (ACerS)
• Fellow of AAAS
• Fellow of IEEE
• Fellow of National Academy of Inventors (NAI)

Leadership & Infrastructure: As CMI Scientific Director, Jia oversees New York's flagship materials informatics initiative integrating AI with experimental materials science. His prior directorship of DOE's Center for Integrated Nanotechnologies (Los Alamos/Sandia) established expertise in national lab collaboration. The group maintains 50+ U.S. patents and 500+ publications, with current work targeting quantum device integration and sustainable neuromorphic hardware.

Research Ecosystem: The CMI hub connects Jia's team with industry partners (including National Grid) and national labs, facilitating rapid prototyping of energy materials. Current thrusts include machine learning-guided ferroelectric design, CMOS-compatible superconductors, and recyclable perovskite sensors, positioning the group at the semiconductor-energy nexus.