JJJason

Ferroelectricity and Computing

Science EN ↓ 16 epizód

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.

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JJJason

Kategória

Science

A podcast weboldala

podcasters.spotify.com

Legutóbbi epizód

2025. jan. 14.

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Epizódok

Superconductivity in Pr doped Nickelates 14.01.2025 21:06

La₂PrNi₂O₇ compound, highlighting the importance of achieving a single-phase material with minimal oxygen vacancies for optimal superconductivity

Thin Film Nickelates and Cuprates 13.01.2025 17:28

The similarities and differences between nickelates and cuprates, the challenges in synthesizing nickelates, and the recent breakthroughs in achieving superconductivity in thin films.

High-Temperature Nonvolatile Electrochemical Memory 12.01.2025 17:31

Long-term data retention is achieved through composition phase separation within the tantalum oxide

Origin of Nonvolatility in Resistive Memory 12.01.2025 21:28

Composition phase separation, rather than solely slow diffusion, governs information storage

High-Pressure Superconductivity in Nickelates 12.01.2025 20:49

Experimental and theoretical work on nickelate superconductors.

Ambient-Pressure Superconductivity in Lanthanum Nickel Oxide Thin Films 10.01.2025 15:14

Ambient-pressure superconductivity in thin films of the bilayer nickelate La₃Ni₂O₇

Computational Design of Amorphous Materials 21.12.2024 38:37

The amorphous state as a frontier in computational materials design

Low-thermal-hysteresis Shape-memory Ceramics 21.12.2024 13:26

The thermal hysteresis of the tetragonal-monoclinic martensitic phase transformation in zirconia-based shape-memory ceramics.

Fundamentals and Applications of Ferroelectric Hafnia 21.12.2024 19:08

The origins of ferroelectricity in Hafnium oxide, emphasizing the roles of thermodynamic and kinetic factors, including doping, oxygen concentration, and stress/strain.

Metal-Oxide Interactions in Catalysis 19.12.2024 16:40

Nature of metal-oxide interaction for metal catalysts

Machine Learning Guided Dopant Selection for Photocatalysis 15.12.2024 38:29

Machine learning integrated photocatalysis

Machine Learning of Energy Materials 15.12.2024 29:39

A Critical Review of Machine Learning of Energy Materials

Willow Chip 15.12.2024 12:10

Willow chip and quantum error correction by Google Quantum

Pulsed Laser Deposition 15.12.2024 37:43

A practical guide to pulsed laser deposition

Zeolite Phase Transformation and Intergrowth 14.12.2024 20:10

Graph similarity, high-throughput simulations, and literature mining on zeolite synthesis and transformation.