Explore cutting-edge advancements in ferroelectric hafnia, a revolutionary material driving the future of memory and data processing technologies. Dive into the intersections of materials science, machine learning, and quantum computing, where groundbreaking discoveries are shaping the next generation of electronics.
Physicist Dr. Maria K. Y. Lee and materials scientist Dr. J. Paul Attfield discuss how achieving a single-phase La₂PrNi₂O₇ material with minimal oxygen vacancies is crucial for optimal superconductivity.
13 Jan 2025
Thin Film Nickelates and Cuprates
Materials scientist Dr. Martin Greenblatt explores the frontiers of ferroelectricity and computing with experts in thin film nickelates and cuprates, unlocking new avenues for superconductivity breakthroughs.
Materials scientist Dr. Kenji Ueno explores the cutting-edge technology of high-temperature nonvolatile electrochemical memory, unlocking long-term data retention through tantalum oxide composition phase separation.
12 Jan 2025
Origin of Nonvolatility in Resistive Memory
Ferroelectricity expert Dr. Venkatesh Amrita reveals how composition phase separation in resistive memory revolutionizes computing by enabling ultra-efficient information storage.
12 Jan 2025
High-Pressure Superconductivity in Nickelates
Materials scientists Dr. Chris Leighton and Dr. Ivan Božović delve into the latest experimental and theoretical breakthroughs on high-pressure superconductivity in nickelates, unlocking new possibilities for energy-efficient computing.
10 Jan 2025
Ambient-Pressure Superconductivity in Lanthanum Nickel Oxide Thin Films
Ambient-pressure superconductivity in thin films of the bilayer nickelate La₃Ni₂O₇
10 Jan 2025
Compositional Phase Separation in Resistive Memories
Mechanisms behind nonvolatility in resistive memories
21 Dec 2024
Computational Design of Amorphous Materials
Dr. Neil Alford and Dr. Maria-Cristina Rosticher explore how computational design of amorphous materials is unlocking new frontiers in materials science, transforming the way we engineer innovative materials with unprecedented properties.
21 Dec 2024
Low-thermal-hysteresis Shape-memory Ceramics
Materials scientist Dr. Pint Dr. Maria Pint explains the low-thermal-hysteresis properties of shape-memory ceramics, unlocking new possibilities for high-performance computing and energy storage applications.
21 Dec 2024
Fundamentals and Applications of Ferroelectric Hafnia
Materials scientist Dr. Maria G. Blamire and Dr. Ramamoorthy Ramesh delve into the fundamentals and applications of ferroelectric Hafnia, unlocking its potential to revolutionize computing with faster, more energy-efficient devices.
19 Dec 2024
Metal-Oxide Interactions in Catalysis
Dr. David Vanderbilt & Dr. Ramamoorthy Ramesh discuss the transformative power of metal-oxide interactions in catalysis, unlocking new avenues for sustainable and efficient chemical reactions.
15 Dec 2024
Machine Learning Guided Dopant Selection for Photocatalysis
Machine learning integrated photocatalysis
15 Dec 2024
Machine Learning of Energy Materials
A Critical Review of Machine Learning of Energy Materials
15 Dec 2024
Willow Chip
Willow chip and quantum error correction by Google Quantum
15 Dec 2024
Pulsed Laser Deposition
A practical guide to pulsed laser deposition
14 Dec 2024
Zeolite Phase Transformation and Intergrowth
Graph similarity, high-throughput simulations, and literature mining on zeolite synthesis and transformation.
13 Dec 2024
Epitaxial La-doped Hafnium Zirconium Oxide
Ferroelectrical La:HZO film
Podcast Authority Score: 11 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
22
Social presence
0
YouTube
0
Engagement
0
Contact Ferroelectricity and Computing
Guest appearances
Does not typically book guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of Ferroelectricity and Computing?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine