Phase engineering of nanomaterials
Phase has emerged as an important structural parameter—in addition to composition,
morphology, architecture, facet, size and dimensionality—that determines the properties and …
morphology, architecture, facet, size and dimensionality—that determines the properties and …
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 …
Recent progress on phase engineering of nanomaterials
As a key structural parameter, phase depicts the arrangement of atoms in materials.
Normally, a nanomaterial exists in its thermodynamically stable crystal phase. With the …
Normally, a nanomaterial exists in its thermodynamically stable crystal phase. With the …
Compound copper chalcogenide nanocrystals
This review captures the synthesis, assembly, properties, and applications of copper
chalcogenide NCs, which have achieved significant research interest in the last decade due …
chalcogenide NCs, which have achieved significant research interest in the last decade due …
Reversible disorder-order transitions in atomic crystal nucleation
Nucleation in atomic crystallization remains poorly understood, despite advances in
classical nucleation theory. The nucleation process has been described to involve a …
classical nucleation theory. The nucleation process has been described to involve a …
Prospects of nanoscience with nanocrystals
Colloidal nanocrystals (NCs, ie, crystalline nanoparticles) have become an important class
of materials with great potential for applications ranging from medicine to electronic and …
of materials with great potential for applications ranging from medicine to electronic and …
Plasmonic doped semiconductor nanocrystals: Properties, fabrication, applications and perspectives
Degenerately doped semiconductor nanocrystals (NCs) are of recent interest to the NC
community due to their tunable localized surface plasmon resonances (LSPRs) in the near …
community due to their tunable localized surface plasmon resonances (LSPRs) in the near …
Big–deep–smart data in imaging for guiding materials design
Harnessing big data, deep data, and smart data from state-of-the-art imaging might
accelerate the design and realization of advanced functional materials. Here we discuss …
accelerate the design and realization of advanced functional materials. Here we discuss …
Real-Time Imaging of Pt3Fe Nanorod Growth in Solution
The growth of colloidal nanocrystal architectures by nanoparticle attachment is frequently
reported as an alternative to the conventional growth by monomer attachment. However, the …
reported as an alternative to the conventional growth by monomer attachment. However, the …
Parallel multistream training of high-dimensional neural network potentials
Over the past years high-dimensional neural network potentials (HDNNPs), fitted to
accurately reproduce ab initio potential energy surfaces, have become a powerful tool in …
accurately reproduce ab initio potential energy surfaces, have become a powerful tool in …