Detail

PACBED-CNN: Infer thickness and mistilt from position-averaged convergent beam electron diffraction patterns

jwei74_wisc/PACBEDCNN_thickness_mistilt
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Michael Oberaigner; Alexander Clausen; Dieter Weber; Gerald Kothleitner; Rafal E Dunin-Borkowski; Daniel Knez
Python static method
general materials science microscopy

Input

PACBED data array at key "pacbed", and parameters including "acceleration_voltage_kV", "zone_u","zone_v","zone_w", "crystal_structure", "convergence_angle_mrad". See example notebook for avalible combinations.
Type: dict

Output

Predicted thickness in angstrom, thickness CNN output, mistilt angle in mrad, mistilt CNN output, and scaling factor used for preprocessing the PACBED
Type: dict

Run with DLHub SDK

from dlhub_sdk.client import DLHubClient
X = get_my_data() #replace this
dl = DLHubClient()
dl.run('jwei74_wisc/PACBEDCNN_thickness_mistilt', X)

Get More Info with DLHub SDK

from dlhub_sdk.client import DLHubClient
dl = DLHubClient()
dl.describe_servable('jwei74_wisc/PACBEDCNN_thickness_mistilt')

DLHub SDK Installation

pip install dlhub_sdk

DLHub SDK documentation