Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
Beyond electrostatic modification: design and discovery of functional oxide phases via ionic-electronic doping
ABSTRACT A new research field of functional materials and device physics is rising that
combines ionic transport with charge carrier modulation to realize emergent physical …
combines ionic transport with charge carrier modulation to realize emergent physical …
Real-time coherent diffraction inversion using deep generative networks
Phase retrieval, or the process of recovering phase information in reciprocal space to
reconstruct images from measured intensity alone, is the underlying basis to a variety of …
reconstruct images from measured intensity alone, is the underlying basis to a variety of …
Three-dimensional domain identification in a single hexagonal manganite nanocrystal
AH Mokhtar, D Serban, DG Porter… - Nature …, 2024 - nature.com
The three-dimensional domain structure of ferroelectric materials significantly influences
their properties. The ferroelectric domain structure of improper multiferroics, such as YMnO3 …
their properties. The ferroelectric domain structure of improper multiferroics, such as YMnO3 …
Rapid 3D nanoscale coherent imaging via physics-aware deep learning
Phase retrieval, the problem of recovering lost phase information from measured intensity
alone, is an inverse problem that is widely faced in various imaging modalities ranging from …
alone, is an inverse problem that is widely faced in various imaging modalities ranging from …
Strain Heterogeneity and Extended Defects in Halide Perovskite Devices
Strain is an important property in halide perovskite semiconductors used for optoelectronic
applications because of its ability to influence device efficiency and stability. However …
applications because of its ability to influence device efficiency and stability. However …
Resolving intragranular stress fields in plastically deformed titanium using point-focused high-energy diffraction microscopy
The response of a polycrystalline material to a mechanical load depends not only on the
response of each individual grain, but also on the interaction with its neighbors. These …
response of each individual grain, but also on the interaction with its neighbors. These …
Nanoscale imaging of the full strain tensor of specific dislocations extracted from a bulk sample
Lattice defects play a key role in determining the properties of crystalline materials. Probing
the three-dimensional (3D) lattice strains that govern their interactions remains a challenge …
the three-dimensional (3D) lattice strains that govern their interactions remains a challenge …
Towards a framework for evaluating and reporting Hansen solubility parameters: applications to particle dispersions
A thorough understanding of complex interactions within particulate systems is a key for
knowledge-based formulations. Hansen solubility parameters (HSP) are widely used to …
knowledge-based formulations. Hansen solubility parameters (HSP) are widely used to …
Three-dimensional in situ imaging of single-grain growth in polycrystalline In2O3:Zr films
D Dzhigaev, Y Smirnov, PA Repecaud… - Communications …, 2022 - nature.com
Strain and interactions at grain boundaries during solid-phase crystallization are known to
play a significant role in the functional properties of polycrystalline materials. However …
play a significant role in the functional properties of polycrystalline materials. However …