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Dr Navyanth Kusampudi (Max-Planck-Institut für Nachhaltige Materialien GmbH)20/11/2024, 10:40
This presentation will cover ongoing work that integrates machine learning (ML) and data science methods with Atom Probe Tomography (APT) data analysis. The primary objective is to develop a tool (APyT) that automates APT data processing and analysis routines. Additionally, the project aims to create an interface between APyT and existing commercial software like AP Suite to streamline...
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Xinren Chen (MPI-SM)20/11/2024, 11:00
Detecting and quantifying excess vacancies in materials remains a significant challenge in materials science, as these vacancies are critical in accelerating phase transitions but have been difficult to measure accurately. Traditional methods, such as Positron Annihilation Spectroscopy (PAS), are limited by detection thresholds around 10^-7. To overcome these limitations, we have developed a...
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Yue Li (Max-Planck-Institut für Nachhaltige Materialien GmbH)20/11/2024, 11:20
In solids, chemical short-range order (CSRO) refers to the self-organisation of atoms of certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a lever to tailor the mechanical and functional properties of materials. CSRO is typically characterized indirectly, using volume-averaged (e.g. X-ray/neutron scattering) or through projection microscopy techniques...
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Yuan Yu (RWTH Aachen University)20/11/2024, 11:40
Atom probe tomography is frequently employed to characterize the elemental distributionin solids with atomic resolution. Here we review and discuss the potential of this techniqueto locally probe chemical bonds. Two processes characterize the bond rupture in laser-assisted field emission, the probability of molecular ions, i.e. the probability that molecularions (PMI) are evaporated instead of...
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