FERROELECTRIC 

    MATERIALS & DEVICES 

     GROUP 


      Manipulating Ferroelectric Materials &

      Integrating Ferroelectric Devices 

      for Microelectronics



GOAL

Addressing Challenges in Energy Consumption-Storage-Generation for Sustainable Microelectronics

As the global demand for computational power continues to rise, its exponentially growing energy implications can no longer be ignored; the solution lies with new materials & device physics.

Our group aims to address modern energy grand challenges -- namely the unsustainable exponential rise in global energy consumption from computing, artificial intelligence (AI) and Internet-of-Things (IoT) devices -- 

from a microelectronics perspective, harnessing collective electronic phenomena in ferroelectric materials, engineered at the unit cell level.

Energy-Efficient Electronics

Energy demand from computing has been increasing much faster than the world's energy production; at this rate, in 20 years, computing will require more electricity than the world can generate; novel energy-efficient computing paradigms are required 

Energy-Autonomous Electronics

The exponential rise of IoT smart devices (approaching 1 trillion) and heat dissipation challenges in modern microchips demand innovations in self-powered nanotechnologies - spanning energy storage, energy harvesting, power delivery - integrated on-chip

3D Microelectronics

3D ICs with computing (energy-efficient logic + high-bandwidth memory), energy tech (energy storage, nanogenerators, power delivery) & sensing (in-sensor processing) integrated on-chip for intelligent autonomous data processing at the edge, all leveraging ferroelectric building blocks 

Next-Gen Today's Microelectronics

Accelerating the translation of electronic devices with unprecedented performance to government & commercial semiconductor foundries by engineering ferroelectric order and breakthrough electronic responses in simple materials used in modern microelectronics

energy-efficient electronics

exploiting collective electronic phenomena

energy-autonomous electronics

from low-power to self-powered electronics

edge electronics

3D-integrated micro AI engines

lab-to-fab translation

university research to wafer-scale manufacturing

APPROACH

Designing Emergent Electronic Phenomena in Atomically-Engineered Ferroelectric Materials & Integration into CMOS Technology

We are an interdisciplinary group at the intersection of materials science, condensed matter physics, and electrical engineering to realize the applied impact of ferroelectric materials.

Rather than exploring the entire periodic table, we focus on manipulating simple dielectrics in today's mass production microelectronics and their integration with current (& next-generation) semiconductors.

Materials Science

atomic-scale engineering

Inversion symmetry breaking & phase transitions

Atomic-layer thin films, superlattices, metastable polymorphs 

Condensed Matter 

emergent (negative) electronic phenomena

Building blocks: collective electronic order, phase transitions

Negative responses: capacitance, piezoelectricity, compressibility

Nanoelectronics

on-chip computing & energy technologies

Computing: logic transistors, nonvolatile memory, AI hardware

Energy: energy storage & harvesting & power delivery capacitors

RESEARCH HIGHLIGHTS

Harnessing ferroelectronics to discover new paradigms for integrated circuit building blocks 

 In order to accelerate the technological adoption of new electronic devices (Lab-to-Fab translation), we focus on manipulating simple materials in today's mass production microelectronics. 

In particular, we engineer ferroelectric order in HfO2-ZrO2 -- the dielectric used in today's state-of-the-art logic transistors and memory capacitors -- to redesign integrated circuit building blocks.

Re-imagining the memristor
from defective (ionic) to collective (ferroelectric) order for atomic-scale resistive switching

Nature 2020 | Science 2022 


Lab-to-Fab | Academia

Samsung Advanced Institute of Technology (SAIT) confirmation of ultrathin ferroelectricity in HfO2-ZrO2 on Si ACS AMI 2021 | Nature Electronics 2023

Academia: Spurred theoretical focus on unconventional origins of ferroelectricity in ultrathin HfO2-ZrO2

Science 2020 | Nature 2024


Re-imagining the transistor
from high-k dielectric to negative-k ferroelectrics

for ultralow power transistor operation

Nature 2022


Lab-to-Fab

U.S. DoD Foundry integration of NC gate stack into Defense Foundry transistor tech: IEDM 2022

Samsung Electronics integration of same NC stack into their FinFET tech: Nature Electronics 2023

Intel highlighted NC technology as a future for energy-efficient computing: Science 2022
GlobalFoundries collaborative NC integration into next-gen GF FDX & FinFET platforms

Re-imagining the capacitor
from electrochemical to electrostatic storage

for ultra-dense ultra-fast capacitors

Nature 2024


Lab-to-Fab

U.S. DoD Foundry integration of same NC energy storage stack into 3D cap process: Nature 2024

The Pentagon energy storage technology presented to US military decision-makers at the Pentagon DARPA Demo Day 2023
Samsung Electromechanics collaborative research for next-gen MLCCs, solid-state batteries, and Si microcapacitors

Re-imagining the diode
from p-n junctions to ferroelectric diodes

for ultrahigh scalability compute-in-mem arrays

in prep











RESEARCH AREAS

New Paradigms for Electronic Materials & Devices

Materials Design

Ferroelectric Materials for Microelectronics

(i) Unprecedented electronic properties via  electronic phenomena (e.g. negative capacitance, phase transitions) stabilized in composite systems with collective electronic order (e.g. ferroelectricity) 

(ii) Accelerated Lab-to-Fab translation by stabilizing such novel phenomena in CMOS-compatible materials

Computing & Memory

More Moore: Energy-Efficient Electronics

(i) From high-k dielectrics to negative-k ferroelectrics for advanced logic transistors with ultralow power operation

(ii) From defective (ionic) to collective (ferroic) phenomena for energy-efficient and area-efficient nonvolatile high-bandwidth memory and analog artificial intelligence (AI) hardware accelerators

Energy & Power

More than Moore: Energy-Autonomous Electronics

(i) From electrochemical to electrostatic energy storage for on-chip ultracapacitors and power delivery

(ii) From thermoelectric to pyroelectric thermal-energy conversion for on-chip energy harvesting and thermal management

TOOLBOX

Atoms to Devices

Materials-by-Design Synthesis

To stabilize emergent phenomena beyond the standard unit cell, we utilize Atomic Layer Deposition (ALD) to manufacture hierarchical “super-cells”. ALD, used in today's microelectronics, deposits atomically-precise films across large-area substrates to enable large-scale integration and facilitate Lab-to-Fab translation.

Thin Film Characterization

To understand the microscopic origins underlying electronic metamaterials, we employ (i) synchrotron x-rays (diffraction, spectroscopy, microscopy), (ii) microscopy (electron, scanning probe), and (iii) transport (ultrafast, cryogenic, etc) at National Laboratories, MIT facilities, and in-house setups.

Electronic Devices

To realize enhanced performance derived from emergent symmetry-broken phenomena, we integrate electronic metamaterials into relevant device structures (e.g. capacitors, transistors)  fabricated (i) in-house at MIT.nano (ii) next-door at MIT Lincoln Laboratory and (iii) in collaboration with semiconductor industries.