AI model improves 4D STEM imaging for delicate materials

AI model improves 4D STEM imaging for delicate materials - Phys.org

Researchers at Monash University have developed an artificial intelligence (AI) model that significantly improves the accuracy of ...

AI model improves 4D STEM imaging for delicate materials - News ...

Researchers at Monash University have developed an AI model that significantly improves the quality of four-dimensional scanning transmission electron ...

AI model improves 4D STEM imaging for delicate materials

Researchers at Monash University have developed an artificial intelligence (AI) model that significantly improves the accuracy of ...

AI model improves 4D STEM imaging for delicate materials | AllSides

AI model improves 4D STEM imaging for delicate materials ... This article has been reviewed according to Science X's editorial process and ...

AI model improves 4D STEM imaging for... - S P Santhosh Kumar

AI model improves 4D STEM imaging for delicate materials. Advanced AI technology enhances material imaging for scientific breakthroughs. Researchers at...

AI-enhanced technique illuminates materials reactions at nanoscale

Metals differ in their defects · AI model improves 4D STEM imaging for delicate materials · AI model improves 4D STEM imaging for delicate ...

Exploring deep learning models for 4D-STEM-DPC data processing

Convolutional neural network (CNN) models presented for automated STEM-DPC processing. · CNNs trained on experimentally acquired 4D-STEM datasets ...

4D STEM Technology and Applications in Materials Science - AZoM

Regardless of naming protocols or its diffraction mapping origin, 4D STEM is now the leading method for improving (virtual) STEM imaging, ...

Improved ACOM pattern matching in 4D-STEM through adaptive sub ...

Our approach uses sub-pixel adaptive image processing to register and reconstruct electron diffraction signals in large 4D-STEM datasets. By ...

AI-enabled Lorentz microscopy for quantitative imaging of ... - Nature

Here, we present an AI-enabled phase-retrieval method based on integrating a generative deep image prior with an image formation forward model ...

AI model improves 4D STEM imaging for delicate materials

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Four-Dimensional Scanning Transmission Electron Microscopy (4D ...

4D-STEM strain measurements have an inherent trade-off between resolution in real space and reciprocal space. A larger convergence angle will generate a smaller ...

4D-STEM Ptychography for Electron-Beam-Sensitive Materials

Significantly, ptychography provides much better results compared with the other imaging modes. The ptychographic phase images resolve all ...

4D-STEM Ptychography for Electron-Beam-Sensitive Materials - PMC

The reconstructed iCOM image has a higher resolution than ADF and ABF images due to the improved SNR, which is consistent with observations from ...

AI model improves 4D STEM imaging for delicate materials

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Framework of compressive sensing and data compression for 4D ...

Four-dimensional Scanning Transmission Electron Microscopy (4D-STEM) is a powerful technique for high-resolution and high-precision materials ...

Data-efficient 4D-STEM in SEM: Beyond 2D Materials to Metallic ...

Specifically, operating the MiniPIX Timepix3 detector in the event-driven mode significantly improves the acquisition rate by a factor of a few ...

AI model improves 4D STEM imaging for delicate materials

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Using Hybrid-Pixel Detectors for 4D-STEM Experiments - Dectris

Discover how DECTRIS ARINA hybrid-pixel detectors enable 4D-STEM by providing for dose-efficient, detailed characterization of beam-sensitive materials.

Theoretical introduction to 4D STEM with Professor Roberto dos Reis

Prof. Roberto dos Reis introduces 4D STEM principles, data collection techniques, and applications.