Claim OwnershipFerroelectricity and Computing
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Description
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.
16 Episodes
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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
Experimental and theoretical work on nickelate superconductors.
Ambient-pressure superconductivity in thin films of the bilayer nickelate La₃Ni₂O₇
The amorphous state as a frontier in computational materials design
The thermal hysteresis of the tetragonal-monoclinic martensitic phase transformation in zirconia-based shape-memory ceramics.
The origins of ferroelectricity in Hafnium oxide, emphasizing the roles of thermodynamic and kinetic factors, including doping, oxygen concentration, and stress/strain.
Nature of metal-oxide interaction for metal catalysts
Machine learning integrated photocatalysis
A Critical Review of Machine Learning of Energy Materials
Willow chip and quantum error correction by Google Quantum
A practical guide to pulsed laser deposition
Graph similarity, high-throughput simulations, and literature mining on zeolite synthesis and transformation.
Ferroelectrical La:HZO film
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