A neural network trained on synthetic delta-T noise data estimates the temperature bias across atomic-scale junctions with mean error below 1 K when averaged over many junctions.
Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2,
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Machine learning delta-T noise for temperature bias estimation
A neural network trained on synthetic delta-T noise data estimates the temperature bias across atomic-scale junctions with mean error below 1 K when averaged over many junctions.