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.
Publishes | Daily | Episodes | 16 | Founded | 9 months ago |
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Categories | PhysicsScience |
La₂PrNi₂O₇ compound, highlighting the importance of achieving a single-phase material with minimal oxygen vacancies for optimal superconductivity
The similarities and differences between nickelates and cuprates, the challenges in synthesizing nickelates, and the recent breakthroughs in achieving superconductivity in thin films.
Long-term data retention is achieved through composition phase separation within the tantalum oxide
Composition phase separation, rather than solely slow diffusion, governs information storage
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #124 | |
Apple Podcasts | #24 |
Listeners, social reach, demographics and more for this podcast.
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Focusing on the groundbreaking advancements in materials science, this podcast explores the innovative potential of ferroelectric materials, particularly hafnia. Topics frequently cover the intersections of materials science with machine learning, quantum computing, and the implications these developments have on future electronics and data processing technologies. Listeners can expect in-depth discussions around superconductivity, high-temperature memory technologies, and the use of novel materials to improve computing efficiencies. The insights shared aim to inspire not only scientific curiosity but also practical applications that could transform various industries, including aerospace, renewable energy, and computing.
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Ferroelectricity and Computing launched 9 months ago and published 16 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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