ANNOUNCEMENT

NOBEL PRIZE 2026

This year's laureates, their fields, and the discoveries that earned them the prize.Live nowSee the winners
Moonbase
← Back to Awards
NSFGRADUATE INVOLVEMENT

FuSe-TG: FAB: A Heterogeneous Ferroelectronics Platform for Accelerating Big Data Analytics

Active
Institution
Pennsylvania State Univ University Park, PA
Principal investigator
Vijaykrishnan Narayanan
Funding
$600K
Duration
2023–2027
Open portfolio

Moonbase score

Still being scored

Abstract

Data generated over social media, biomedical monitoring, and the Internet-of-Things are increasing exponentially. The ability to extract useful information from this big data is critical towards advances in varied domains. The enormity of the data is outstripping the ability for electronic systems to process, communicate and store the data that is being generated. While historically transistor scaling helped address the growth in computational needs, with scaling now reaching its limits, new approaches are needed. To this end, this project brings together experts for realizing a new ferroelectric-based platform that can provide unprecedented opportunities to scale chip designs in the third dimension, to blur the gap between memory and logic functionality through seamless integration to accelerate big data analytics. We have gathered together researchers with cross-layer expertise from materials to systems to create a ferroelectronics platform to provide transformative impetus towards accelerating big data analytics. The teaming exercise will help draw in additional expertise and engagement in workshops and pilot projects. Our cross-layer strategies will lead to concurrent advances such as novel multi-gate devices that leverage the polarization for compact implementation of complex functions, new architectures that harness the intrinsic properties of ferroelectrics, such as polarization domains and optical sensitivity, to support novel security and sensor features. and in-storage computing to support in-place analysis of large amounts of data. Novel ferroelectric systems will have transformative impact on energy efficiency of computing infrastructure from large data centers to the Internet-of-Things. A highly capable workforce will be the foundation of global leadership in this emerging area. Consequently, strategies for workforce development in partnership with community colleges, four-year institutions and industry will be a key focus. Our planning effort will also invest in pilot cross-institutional projects to accelerate engagement of individuals from underrepresented communities. Planned workshops will assess the educational structure and training programs along with process integration and technology ramp-up to rapidly establish the United States as the center of ferroelectric innovation. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Research team

  • Vijaykrishnan NarayananPI
  • Santosh K KurinecCo-PI
  • Suman DattaCo-PI
  • Anand RaghunathanCo-PI
  • Jon F IhlefeldCo-PI

LOADING MOONBASE SCORE

GRADUATE INVOLVEMENTDirectorate for Computer and Information Science and EngineeringNSF Research Traineeship (NRT)SCIENCE, MATH, ENG & TECH EDUCATIONIUSEMicroelectronics and SemiconductorsFuSe-Future of SemiconductorsSOFTWARE & HARDWARE FOUNDATIONTRUSTWORTHY COMPUTINGanalyticsdata analyticsbig datainternet-of-thingsplatform providecross-layerferroelectricbig

Questions for Pennsylvania State Univ University Park

Answered by the team behind this research.

Same researchers, same institution, same topic, scored first.