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2 article(s) from Fantner, Georg

The role of convolutional neural networks in scanning probe microscopy: a review

Ido Azuri,
Irit Rosenhek-Goldian,
Neta Regev-Rudzki,
Georg Fantner and
Sidney R. Cohen

Beilstein J. Nanotechnol. 2021, 12, 878–901, doi:10.3762/bjnano.12.66

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Figure 1: Linear decision boundary (green straight line) that separates between samples belonging to two diff...

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Figure 2: Performance as function of sample data set size for traditional machine learning algorithms and dee...

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Figure 3: Upper left: example of a deep neural network (DNN). Upper right: example of a shallow neural networ...

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Figure 4: (a) Description of the convolutional layer of a CNN and (b) the convolution operation. In (b) the o...

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Figure 5: Loss function as a function of the number of epochs for the training set (blue line) and the testin...

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Figure 6: Predictions of the probability for a healthy cytoskeleton made by the model on testing set and trea...

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Figure 7: Example of images of healthy (top) and diseased (bottom) Pf-EV exposed cells from the test set and ...

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Figure 8: Average intensity for all images in the testing set and the images of treated cytoskeleton for (a) ...

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Figure 9: Class activation maps shown below the AFM images for selected images of healthy and Pf-EV-exposed c...

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Figure 10: Class activation maps shown below the AFM images for selected images of healthy and Pf-EV-exposed c...

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Album

Review

Published 13 Aug 2021

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Focused electron beam induced deposition: A perspective

Michael Huth,
Fabrizio Porrati,
Christian Schwalb,
Marcel Winhold,
Roland Sachser,
Maja Dukic,
Jonathan Adams and
Georg Fantner

Beilstein J. Nanotechnol. 2012, 3, 597–619, doi:10.3762/bjnano.3.70

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Figure 1: Illustration of FEBID. Precursor molecules (here: organometallic complex; blue: metal, green: organ...

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Figure 2: Single-species growth rate calculated for the precursor Me₃Pt(IV)CpMe assuming three different elec...

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Figure 3: Molecular models of octanol (left) and Co₂(CO)₈ (right). Rendered using Jmol.

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Figure 4: Simulation of concentration of different elements in FEBID structure under parallel use of Co₂(CO)₈...

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Figure 5: Molecular models of Si₅H₁₂ (left) and Me₃Pt(IV)CpMe (right). Rendered using Jmol.

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Figure 6: Elemental composition of various Pt–Si deposits as determined by EDX according to [28]. The data were t...

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Figure 7: Dependence of the room temperature resistivity on the Si/Pt ratio in the FEBID samples according to ...

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Figure 8: Temperature-dependent conductivity of the Pt–Si FEBID samples represented as ln σ vs T⁻^a to facilit...

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Figure 9: TEM electron diffraction pattern of samples on carbon membrane before (left) and after (right) post...

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Figure 10: Temperature-dependent conductivity and Hall effect as a function of the applied magnetic field for ...

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Figure 11: Dependence of the yield ratio for the precursors Co₂(CO)₈ and Me₃Pt(IV)CpMe on the dwell time withi...

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Figure 12: Phase diagram of the transport regimes of granular metals. In the insulating regime for g < g_c ther...

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Figure 13: Temperature-dependent conductivity of Pt–C FEBID structures that have been exposed to different pos...

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Figure 14: Temperature-dependent conductivity of Pt–C FEBID structures that have been exposed to different pos...

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Figure 15: Calculated gauge factor κ as a function of intergrain coupling strength (bottom axis) and metal vol...

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Figure 16: Left: Strain-resistance effect of a Pt–C nanogranular sensor element measured on a test cantilever ...

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Album

Video

Review

Published 29 Aug 2012

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