Emerging chalcohalide materials for energy applications
Semiconductors with multiple anions currently provide a new materials platform from which
improved functionality emerges, posing new challenges and opportunities in material …
improved functionality emerges, posing new challenges and opportunities in material …
Machine learning in scanning transmission electron microscopy
Scanning transmission electron microscopy (STEM) has emerged as a uniquely powerful
tool for structural and functional imaging of materials on the atomic level. Driven by …
tool for structural and functional imaging of materials on the atomic level. Driven by …
Electronic-structure methods for materials design
The accuracy and efficiency of electronic-structure methods to understand, predict and
design the properties of materials has driven a new paradigm in research. Simulations can …
design the properties of materials has driven a new paradigm in research. Simulations can …
Structure prediction drives materials discovery
Progress in the discovery of new materials has been accelerated by the development of
reliable quantum-mechanical approaches to crystal structure prediction. The properties of a …
reliable quantum-mechanical approaches to crystal structure prediction. The properties of a …
Expanding frontiers in materials chemistry and physics with multiple anions
During the last century, inorganic oxide compounds laid foundations for materials synthesis,
characterization, and technology translation by adding new functions into devices previously …
characterization, and technology translation by adding new functions into devices previously …
Machine-learning phase prediction of high-entropy alloys
High-entropy alloys (HEAs) have been receiving intensive attention due to their unusual
properties that largely depend on the selection among three phases: solid solution (SS) …
properties that largely depend on the selection among three phases: solid solution (SS) …
New frontiers for the materials genome initiative
Abstract The Materials Genome Initiative (MGI) advanced a new paradigm for materials
discovery and design, namely that the pace of new materials deployment could be …
discovery and design, namely that the pace of new materials deployment could be …
SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates
The lack of reliable methods for identifying descriptors—the sets of parameters capturing the
underlying mechanisms of a material's property—is one of the key factors hindering efficient …
underlying mechanisms of a material's property—is one of the key factors hindering efficient …
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
Abstract The Open Quantum Materials Database (OQMD) is a high-throughput database
currently consisting of nearly 300,000 density functional theory (DFT) total energy …
currently consisting of nearly 300,000 density functional theory (DFT) total energy …
Computational predictions of energy materials using density functional theory
In the search for new functional materials, quantum mechanics is an exciting starting point.
The fundamental laws that govern the behaviour of electrons have the possibility, at the …
The fundamental laws that govern the behaviour of electrons have the possibility, at the …