Scientific Paper
Machine learning-enabled correlation and modeling of multimodal response of thin film to environment on macro and nanoscale using “lab-on-a-crystal”
Summary
A “lab-on-a-crystal” platform: a QCM with extra in-plane electrodes and a gas flow cell lets scanning probe microscopy and electrical, optical, gravimetric and viscoelastic measurements run on the same polymer film under controlled atmosphere. Feeding these combined properties to machine learning improved predictions of the film’s response by a factor of 13 with under 5% of the data used for training.
Summary written by the openQCM team. The original abstract is on the publisher’s page.
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