# Ferroelectric Memristors and Exotic Materials to Drive AI

- Show: [EE Times Current](https://hardwarepodcasts.com/podcast/ee-times-current)
- Published: 2024-01-12
- Length: 42m
- Page: https://hardwarepodcasts.com/podcast/ee-times-current/2024-01-12-ferroelectric-memristors-and-exotic-materials-to-drive-ai
- Listen: https://podcast.show/aspencore/episode/128305970/

## Summary

Professor Beatriz Noheda, director of the Groningen Cognitive Systems and Materials Center (CogniGron), explains how nanoscale ferroelectric materials like hafnium oxide can drive brain-inspired computing. She details the use of strain engineering to stabilize ferroelectric phases at the nanoscale and the potential for self-assembled memristive networks to emulate synaptic connections. The discussion also covers the challenges of characterizing evolving materials and the timeline for deploying these devices in neuromorphic chips.

## Chapters

- [0:02](https://hardwarepodcasts.com/podcast/ee-times-current/2024-01-12-ferroelectric-memristors-and-exotic-materials-to-drive-ai#t=2) Introduction and CogniGron Overview
- [5:17](https://hardwarepodcasts.com/podcast/ee-times-current/2024-01-12-ferroelectric-memristors-and-exotic-materials-to-drive-ai#t=317) Ferroelectric Materials and Hafnia
- [10:06](https://hardwarepodcasts.com/podcast/ee-times-current/2024-01-12-ferroelectric-memristors-and-exotic-materials-to-drive-ai#t=606) Strain Engineering and Phase Transitions
- [12:29](https://hardwarepodcasts.com/podcast/ee-times-current/2024-01-12-ferroelectric-memristors-and-exotic-materials-to-drive-ai#t=749) Self-Assembled Memristive Networks
- [14:33](https://hardwarepodcasts.com/podcast/ee-times-current/2024-01-12-ferroelectric-memristors-and-exotic-materials-to-drive-ai#t=873) Characterization Challenges and Timeline
- [18:37](https://hardwarepodcasts.com/podcast/ee-times-current/2024-01-12-ferroelectric-memristors-and-exotic-materials-to-drive-ai#t=1117) Commentary on Hardware Evolution and Interconnects

## Topics

- [Materials & manufacturing processes](https://hardwarepodcasts.com/topic/materials-and-processes)
- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [PCB design & layout](https://hardwarepodcasts.com/topic/pcb-design)
- [Debugging & failure analysis](https://hardwarepodcasts.com/topic/debugging-and-failure-analysis)

## Most relevant to

early-stage companies

## Mentioned

- CogniGron (other)
- Hafnium oxide (material)
- FRAM (product)
- Ramtron (company)
- Fujitsu (company)
- Phineon (company)
- Elizabeth Akika (other)
- Harvey Jager (other)
- Matthew Cook (other)
- Adrian Thompson (other)
- Hugo DeGaris (other)
- Sataru Nakasuji (other)

## Related episodes from other shows

- [72. Spiderweb Inspired & Graphene Enhanced Microchips](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2022-05-31-72-spiderweb-inspired-graphene-enhanced-microchips) (The Next Byte Podcast)

## Citing this page

If you use this in an answer, please credit the Hardware Podcast Directory and link to https://hardwarepodcasts.com/podcast/ee-times-current/2024-01-12-ferroelectric-memristors-and-exotic-materials-to-drive-ai. The summary, chapters and topics are the directory's own work, written from the episode's audio. The episode itself, its title and its audio belong to EE Times Current.