Energy-Efficient Electronics

Energy-Efficient Electronics

Challenge: Exponentially rising fraction of global energy consumption derived from computing: progress in computational energy cost not keeping up with total computing demand

Solution: Harnessing collective electronic phenomena (ferroelectronics) towards energy-efficient and area-efficient computing and memory hardware (More Moore)

Logic Transistors for Advanced Computing

from high-k dielectric to negative-k ferroelectric gate stacks

(i) EOT scaling: pushing the physical and electrical limits of negative capacitance towards ultra-low power (attojoule) transistor operation

(ii) Next-generation materials: dielectric integration with new channel materials (e.g. oxides, 2D) for BEOL transistors

Ferroelectric Logic Transistors: Nature 2022 | EDL 2019 | EDL 2020 | IEDM 2022b | IEDM 2022c | VLSI 2022 | VLSI 2023

Analog AI Hardware for Edge Computing

from defective (ionic) to collective (ferroic) switching phenomena

Ultralow-power, ultrafast-switching, ultrahigh-density ferroelectric (i) nonvolatile memory arrays for in-memory computing

(ii) synapses & neurons for neuromorphic computing

(iii) stochastic hardware for probabilistic computing

Ferroelectric FET AI Hardware: NatComm 2024 | Small 2024

Ferroelectric Memristors: Nature 2020 | Science 2022 | AdvElectMater 2022

Ferroelectronics for Next-Generation Memory

from charge-based to polarization-switching operation

Tailoring ferroelectrics to span the memory hierarchy:

(i) next-generation nonvolatile DRAM via 3D FeRAM & FeFETs

(ii) next-generation Flash via 3D FeNAND

(iii) next-generation hard drives via Fe recording

Overcoming the Leakage-EOT trade-off: Nature 2022

3D trench capacitors: Nature 2024

Cryo-CMOS for High-Performance Computing

from normal to enhanced charge transport

(i) Ferroelectric NC-FETs for high-performance cryo-computing

(ii) Ferroelectric superconducting junctions for cryo-memory

Ferroelectric Cryo Computing: IEDM 2022c

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