Fast Scanning Probe Microscopy via Machine Learning: Non‐Rectangular Scans with Compressed Sensing and Gaussian Process Optimization
نویسندگان
چکیده
منابع مشابه
Scanning probe microscopy based on magnetoresistive sensing.
Integrated sensors are essential for scanning probe microscopy (SPM) based systems that employ arrays of microcantilevers for high throughput. Common integrated sensors, such as piezoresistive, piezoelectric, capacitive and thermoelectric sensors, suffer from low bandwidth and/or low resolution. In this paper, a novel magnetoresistive-sensor-based scanning probe microscopy (MR-SPM) technique is...
متن کاملScanning hall probe microscopy technique for investigation of magnetic properties
Scanning Hall Probe Microscopy (SHPM) is a scanning probe microscopy technique developed to observe and image magnetic fields locally. This method is based on application of the Hall Effect, supplied by a micro hall probe attached to the end of cantilever as a sensor. SHPM provides direct quantitative information on the magnetic state of a material and can also image magnetic induction under a...
متن کاملScanning hall probe microscopy technique for investigation of magnetic properties
Scanning Hall Probe Microscopy (SHPM) is a scanning probe microscopy technique developed to observe and image magnetic fields locally. This method is based on application of the Hall Effect, supplied by a micro hall probe attached to the end of cantilever as a sensor. SHPM provides direct quantitative information on the magnetic state of a material and can also image magnetic induction under a...
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Scanning probe microscopy (SPM) has become an indispensable tool for characterizing the nanoscale. The core of its working principle involves raster-scanning a sharp tip in contact with a sample of interest, while maintaining a constant tip-sample interaction. This is achieved via standard proportional-integral (PI) feedback in virtually all industrial implementations. Here we explore 1) the po...
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ژورنال
عنوان ژورنال: Small
سال: 2020
ISSN: 1613-6810,1613-6829
DOI: 10.1002/smll.202002878