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Kai Ni
Rochester Institute Of Tech
$2,823,218
Attributed
$2,823,218
Total exposure
8
Grants
8
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $2.4M · FY2022–23$2.5M$1.9M$1.3M$625K$0
'22
'23
Funding mix
By agency
NSF$2,823,218 · 8
By mechanism
—$2,823,218 · 8
Top collaborators
No co-investigators on record.
Grant awards (8)
CAREER: High-Performance Ferroelectric Memory for In-Memory Computing$549,434
· FY2023 · ENG · contact PI
CAREER: High-Performance Ferroelectric Memory for In-Memory Computing$436,730
· FY2023 · ENG · contact PI
Collaborative Research: SHF: Medium: A Comprehensive Modeling Framework for Cross-Layer Benchmarking of In-Memory Computing Fabrics: From Devices to Applications$392,870
· FY2023 · CSE · contact PI
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory$268,000
· FY2023 · CSE · contact PI
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory$268,000
· FY2023 · CSE · contact PI
Collaborative Research: CMOS+X: A Device-to-Architecture Co-development and Demonstration of Large-scale Integration of FeFET on CMOS for Emerging Computing Applications$239,999
· FY2023 · ENG · contact PI
Collaborative Research: CMOS+X: A Device-to-Architecture Co-development and Demonstration of Large-scale Integration of FeFET on CMOS for Emerging Computing Applications$239,999
· FY2023 · ENG · contact PI
Collaborative Research: SHF: Medium: A Comprehensive Modeling Framework for Cross-Layer Benchmarking of In-Memory Computing Fabrics: From Devices to Applications$428,186
· FY2022 · CSE · contact PI