[HTML][HTML] A perspective on conventional high-temperature superconductors at high pressure: Methods and materials
Two hydrogen-rich materials, H 3 S and LaH 10, synthesized at megabar pressures, have
revolutionized the field of condensed matter physics providing the first glimpse to the …
revolutionized the field of condensed matter physics providing the first glimpse to the …
Data‐Driven Materials Innovation and Applications
Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …
experimental and computational investigative methodologies, the massive amounts of data …
A map of the inorganic ternary metal nitrides
Exploratory synthesis in new chemical spaces is the essence of solid-state chemistry.
However, uncharted chemical spaces can be difficult to navigate, especially when materials …
However, uncharted chemical spaces can be difficult to navigate, especially when materials …
Review of computational approaches to predict the thermodynamic stability of inorganic solids
CJ Bartel - Journal of Materials Science, 2022 - Springer
Improvements in the efficiency and availability of quantum chemistry codes, supercomputing
centers, and open materials databases have transformed the accessibility of computational …
centers, and open materials databases have transformed the accessibility of computational …
Accelerating the prediction of stable materials with machine learning
Despite the rise in computing power, the large space of possible combinations of elements
and crystal structure types makes large-scale high-throughput surveys of stable materials …
and crystal structure types makes large-scale high-throughput surveys of stable materials …
The XtalOpt evolutionary algorithm for crystal structure prediction
Significant progress has been made in the field of a priori crystal structure prediction, with a
number of recent remarkable success stories. Herein, we briefly outline the methods that …
number of recent remarkable success stories. Herein, we briefly outline the methods that …
Evolving the materials genome: How machine learning is fueling the next generation of materials discovery
Machine learning, applied to chemical and materials data, is transforming the field of
materials discovery and design, yet significant work is still required to fully take advantage of …
materials discovery and design, yet significant work is still required to fully take advantage of …
Plasma-enhanced atomic layer deposition assisted low-temperature synthetic routes to rationally designed metastable C-axis aligned hexagonal In-Zn-O
Efforts to design and realize exotic metastable phases with advanced characteristics have
been ongoing. However, the challenge lies in identifying their atomic structures and …
been ongoing. However, the challenge lies in identifying their atomic structures and …
[HTML][HTML] 3D printing of customized key biomaterials genomics for bone regeneration
B Zhang, W Wang, X Gui, P Song, H Lei, Z Li… - Applied Materials …, 2022 - Elsevier
The rapid development of regenerative medicine has brought new opportunities for disease
treatment. However, the clinically adopted approaches are full of technical and translational …
treatment. However, the clinically adopted approaches are full of technical and translational …
Materials under high pressure: a chemical perspective
At high pressure, the typical behavior of elements dictated by the periodic table—including
oxidation numbers, stoichiometries in compounds, and reactivity, to name but a few—is …
oxidation numbers, stoichiometries in compounds, and reactivity, to name but a few—is …