A multi-branch CNN fed with the trEFM frequency trace and cantilever parameters extracts bi-exponential kinetic parameters (τ1, τ2, A) more accurately and noise-robustly than the prior single-exponential neural network.
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Multi-Output Convolutional Neural Network for Improved Parameter Extraction in Time-Resolved Electrostatic Force Microscopy Data
A multi-branch CNN fed with the trEFM frequency trace and cantilever parameters extracts bi-exponential kinetic parameters (τ1, τ2, A) more accurately and noise-robustly than the prior single-exponential neural network.