Microscopy Conference 2023

Secondary electron imaging in scanning transmission electron microscopy for material science

IM 1: Progress in instrumentation and ultrafast EM

Poster session IM 1: Progress in instrumentation and ultrafast EM

Poster

IM 7: In situ/operando electron microscopy

Advanced characterization of NP@MOF core-shell complexes using real-time electron tomography

MS 5: Functional organic materials

The revival of polymers, organic molecular/carbon-rich materials and composites thereof is not only due to the development of high-efficiency (semi)conductors and their enhanced environmental stability. Basic reactants appear unlimited prospectively yielding sustainable products at globally needed amounts. Those materials already contribute to the global energy revolution and facilitate a vast variety of applications such as energy conversion/storage, (flexible) printed electronics, catalysis, rapid prototyping, lightweight construction as well as drug delivery. The serious issue of microplastics in the environment needs to be addressed, e.g., by means of biodegradable material design.
This session will cover novel micro- and nanocharacterization techniques (like 4D-STEM, UHR-EELS, cryo-EM, X-ray micro-spectroscopy, fluorescence OM) and modern sample preparation (like plasma-FIB cross-sectioning, (cryo-)ultramicrotomy, plunge freezing) to investigate individual materials (molecules, thin films, particles, fibers), composites and complex devices for understanding structure formation, function, and degradation. It includes modern in situ methodology stressing strategies to minimize electron-beam induced alterations.


Functional organic materials

Abstract talk

Combining HAADF STEM and EDX for element specific atom-counting

IM 2: Spectroscopy

Poster session IM 2: Spectroscopy

IM 5: Quantitative image and diffraction data analysis

Optimized segmentation for quantitative 3D analysis of electron tomography reconstructions

Modern (direct electron) detectors and advanced data recording schemes have pushed the level to which images and diffraction patterns can be quantified, thus bringing experimental data closer to the realm of simulations and theory. At the same time, simulation methods are capable of handling larger atomic structures and include more experimental parameters; and also data reconstruction algorithms have advanced in speed, accuracy and flexibility, thus bringing theory closer to experimental reality. This session welcomes contributions that present the state-of-the-art in extracting quantitative insight/knowledge from image and diffraction data, but also advances in simulation tools.

Quantitative image and diffraction data analysis

MS 1: Energy-related materials and catalysts

Heat-induced alloying in individual Au@Ag core-shell nanoparticles as a function of size, shape, and presence of defects

MS 2: Metals and alloys

This symposium will present recent progress in the field of metals, alloys, and intermetallic compounds. The material portfolio includes high entropy alloys, chemically complex alloys and metallic glasses and aims at bringing together specialists from materials design, microstructure evolution and material properties. 
Contributed papers are very much welcome.


Metals and alloys

Atomic-resolution 3D imaging of metallic nanoparticles under realistic conditions

Poster session IM 7: In situ/operando electron microscopy

Low dose STEM imaging and <em>in situ</em> TEM of metal halide perovskites

The session is focused on generating insights into the function of materials for energy storage, energy conversion and catalysis. Topics can be – but are not restricted to - charge transport, dynamics at interfaces (electrolyte/electrode or gas-phase/catalyst surface), cycling behavior and aging/deactivation. We are very interested in contributions that attempt to capture the relevant functional state of energy materials and catalysts, i.e., studies that reach beyond imaging of isolated systems in vacuum or investigations that employ an embedded multi-scale (in space and time) approach that allows to link between atomistic and collective dynamics. We also call for contributions regarding efficient detection of various generated signals, correlative application of analytical methods, as well as utilizing and developing quantitative data-analysis and machine learning. Studies on the impact of the electron beam for (in-situ) investigation of materials for energy-related or catalysis applications are also highly welcome.

Energy-related materials and catalysts I

Nanoparticle transformations retrieved by a combination of electron tomography and atomistic simulations

Sara Bals

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