Ferroelectricity and Computing
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.
- Update frequency
- every day
- Average duration
- 22 minutes
- Episodes
- 16
- Years Active
- 2024 - 2025
Superconductivity in Pr doped Nickelates
La₂PrNi₂O₇ compound, highlighting the importance of achieving a single-phase material with minimal oxygen vacancies for optimal superconductivity
Thin Film Nickelates and Cuprates
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
Long-term data retention is achieved through composition phase separation within the tantalum oxide
Origin of Nonvolatility in Resistive Memory
Composition phase separation, rather than solely slow diffusion, governs information storage
High-Pressure Superconductivity in Nickelates
Experimental and theoretical work on nickelate superconductors.
Ambient-Pressure Superconductivity in Lanthanum Nickel Oxide Thin Films
Ambient-pressure superconductivity in thin films of the bilayer nickelate La₃Ni₂O₇
Computational Design of Amorphous Materials
The amorphous state as a frontier in computational materials design
Low-thermal-hysteresis Shape-memory Ceramics
The thermal hysteresis of the tetragonal-monoclinic martensitic phase transformation in zirconia-based shape-memory ceramics.
Fundamentals and Applications of Ferroelectric Hafnia
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
Nature of metal-oxide interaction for metal catalysts
Machine Learning Guided Dopant Selection for Photocatalysis
Machine learning integrated photocatalysis
Machine Learning of Energy Materials
A Critical Review of Machine Learning of Energy Materials
Zeolite Phase Transformation and Intergrowth
Graph similarity, high-throughput simulations, and literature mining on zeolite synthesis and transformation.
