36 citations · 74 across the 9 of their papers we have counts for
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cs.LG2024★ 7 cited
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
Yuandi Wu, Brett Sicard, Stephen Andrew Gadsden
This study presents a comprehensive overview of PIML techniques in the context of condition monitoring. The central concept driving PIML is the incorporation of known physical laws…
cs.LG2023
De-novo Chemical Reaction Generation by Means of Temporal Convolutional Neural Networks
Andrei Buin, Hung Yi Chiang, S. Andrew Gadsden +1
We present here a combination of two networks, Recurrent Neural Networks (RNN) and Temporarily Convolutional Neural Networks (TCN) in de novo reaction generation using the novel Re…