The Role of Scanning Probe Microscopy in Drug Delivery Research

Progress in computing capabilities has enhanced science in many ways. In recent years, various branches of machine learning have been the key facilitators in forging new paths, ranging from categorizing big data to instrumental control, from materials design through image analysis. Deep learning has the ability to identify abstract characteristics embedded within a data set, subsequently using that association to categorize, identify, and isolate subsets of the data. Scanning probe microscopy measures multimodal surface properties, combining morphology with electronic, mechanical, and other characteristics. In this review, we focus on a subset of deep learning algorithms, that is, convolutional neural networks, and how it is transforming the acquisition and analysis of scanning probe data.

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In-Situ Scanning Probe Microscopy of Solid-Liquid Interfaces: Role of Epitaxial Oxide Adlayers on Cu Electrodeposition

MRS Proceedings ◽

10.1557/proc-355-247 ◽

1994 ◽

Vol 355 ◽

Author(s):

John R. LaGraff ◽

Andrew A. Gewirth

Keyword(s):

Scanning Probe Microscopy ◽

Scanning Probe ◽

Liquid Interfaces ◽

Probe Microscopy ◽

Solid Liquid ◽

Epitaxial Oxide

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The role of scanning probe microscopy in bacteria investigations and bioremediation

Abatement of Environmental Pollutants ◽

10.1016/b978-0-12-818095-2.00014-x ◽

2020 ◽

pp. 287-312

Author(s):

Igor V. Yaminsky ◽

Assel I. Akhmetova

Keyword(s):

Scanning Probe Microscopy ◽

Scanning Probe ◽

Probe Microscopy

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Investigation of Local Conduction Mechanisms in Ca and Ti-Doped BiFeO3 Using Scanning Probe Microscopy Approach

Nanomaterials ◽

10.3390/nano10050940 ◽

2020 ◽

Vol 10 (5) ◽

pp. 940

Author(s):

Maxim S. Ivanov ◽

Vladimir A. Khomchenko ◽

Maxim V. Silibin ◽

Dmitry V. Karpinsky ◽

Carsten Blawert ◽

...

Keyword(s):

Transport Properties ◽

Scanning Probe Microscopy ◽

Domain Walls ◽

Scanning Probe ◽

Ferroelectric Ceramics ◽

Probe Microscopy ◽

Charge Imbalance ◽

Order Of Magnitude ◽

Charged Defects

In this work we demonstrate the role of grain boundaries and domain walls in the local transport properties of n- and p-doped bismuth ferrites, including the influence of these singularities on the space charge imbalance of the energy band structure. This is mainly due to the charge accumulation at domain walls, which is recognized as the main mechanism responsible for the electrical conductivity in polar thin films and single crystals, while there is an obvious gap in the understanding of the precise mechanism of conductivity in ferroelectric ceramics. The conductivity of the Bi0.95Ca0.05Fe1−xTixO3−δ (x = 0, 0.05, 0.1; δ = (0.05 − x)/2) samples was studied using a scanning probe microscopy approach at the nanoscale level as a function of bias voltage and chemical composition. The obtained results reveal a distinct correlation between electrical properties and the type of charged defects when the anion-deficient (x = 0) compound exhibits a three order of magnitude increase in conductivity as compared with the charge-balanced (x = 0.05) and cation-deficient (x = 0.1) samples, which is well described within the band diagram representation. The data provide an approach to control the transport properties of multiferroic bismuth ferrites through aliovalent chemical substitution.

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