Superconductivity in Pr doped Nickelates
21 min
La₂PrNi₂O₇ compound, highlighting the importance of achieving a single-phase material with minimal oxygen vacancies for optimal superconductivity
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.
21 min
La₂PrNi₂O₇ compound, highlighting the importance of achieving a single-phase material with minimal oxygen vacancies for optimal superconductivity
17 min
The similarities and differences between nickelates and cuprates, the challenges in synthesizing nickelates, and the recent breakthroughs in achieving superconductivity in thin films.
17 min
Long-term data retention is achieved through composition phase separation within the tantalum oxide
21 min
La₂PrNi₂O₇ compound, highlighting the importance of achieving a single-phase material with minimal oxygen vacancies for optimal superconductivity
17 min
The similarities and differences between nickelates and cuprates, the challenges in synthesizing nickelates, and the recent breakthroughs in achieving superconductivity in thin films.
17 min
Long-term data retention is achieved through composition phase separation within the tantalum oxide
21 min
Composition phase separation, rather than solely slow diffusion, governs information storage
20 min
Experimental and theoretical work on nickelate superconductors.
15 min
Ambient-pressure superconductivity in thin films of the bilayer nickelate La₃Ni₂O₇
38 min
The amorphous state as a frontier in computational materials design
13 min
The thermal hysteresis of the tetragonal-monoclinic martensitic phase transformation in zirconia-based shape-memory ceramics.
19 min
The origins of ferroelectricity in Hafnium oxide, emphasizing the roles of thermodynamic and kinetic factors, including doping, oxygen concentration, and stress/strain.
38 min
Machine learning integrated photocatalysis
29 min
A Critical Review of Machine Learning of Energy Materials
20 min
Graph similarity, high-throughput simulations, and literature mining on zeolite synthesis and transformation.
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