MAGUS: machine learning and graph theory assisted universal structure searcher
Crystal structure predictions based on first-principles calculations have gained great
success in materials science and solid state physics. However, the remaining challenges …
success in materials science and solid state physics. However, the remaining challenges …
Computational design of energy‐related materials: From first‐principles calculations to machine learning
Energy‐related materials are crucial for advancing energy technologies, improving
efficiency, reducing environmental impacts, and supporting sustainable development …
efficiency, reducing environmental impacts, and supporting sustainable development …
Pathways towards ferroelectricity in hafnia
The question of whether one can systematically identify (previously unknown) ferroelectric
phases of a given material is addressed, taking hafnia (HfO 2) as an example. Low free …
phases of a given material is addressed, taking hafnia (HfO 2) as an example. Low free …
High temperature superconductivity in sulfur and selenium hydrides at high pressure
Due to its low atomic mass, hydrogen is the most promising element to search for high-
temperature phononic superconductors. However, metallic phases of hydrogen are only …
temperature phononic superconductors. However, metallic phases of hydrogen are only …
Perspective: Crystal structure prediction at high pressures
Y Wang, Y Ma - The Journal of chemical physics, 2014 - pubs.aip.org
Crystal structure prediction at high pressures unbiased by any prior known structure
information has recently become a topic of considerable interest. We here present a short …
information has recently become a topic of considerable interest. We here present a short …
[HTML][HTML] A fingerprint based metric for measuring similarities of crystalline structures
Measuring similarities/dissimilarities between atomic structures is important for the
exploration of potential energy landscapes. However, the cell vectors together with the …
exploration of potential energy landscapes. However, the cell vectors together with the …
Superconductivity in metastable phases of phosphorus-hydride compounds under high pressure
Hydrogen-rich compounds have been extensively studied both theoretically and
experimentally in the quest for novel high-temperature superconductors. Reports on sulfur …
experimentally in the quest for novel high-temperature superconductors. Reports on sulfur …
Ab initio Eliashberg theory: making genuine predictions of superconducting features
We present an application of Eliashberg theory of superconductivity to study a set of novel
superconducting systems with a wide range of structural and chemical properties. The set …
superconducting systems with a wide range of structural and chemical properties. The set …
Two-Dimensional Hexagonal Sheet of TiO2
We report the ab initio discovery of a novel putative ground state for quasi two-dimensional
TiO2 through a structural search using the minima hop** method with an artificial neural …
TiO2 through a structural search using the minima hop** method with an artificial neural …
Global optimization of adsorbate–surface structures while preserving molecular identity
AA Peterson - Topics in Catalysis, 2014 - Springer
As the complexity of atomistic simulations in catalysis and surface science increases, the
challenge of manually finding the lowest-energy adsorbate–surface geometries grows …
challenge of manually finding the lowest-energy adsorbate–surface geometries grows …