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Found 4 papers, 1 papers with code
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
Predicting physical properties of materials from their crystal structures is a fundamental problem in materials science.
Neural Structure Fields with Application to Crystal Structure Autoencoders
We propose neural structure fields (NeSF) as an accurate and practical approach for representing crystal structures using neural networks.
Heart Rate Variability as a Predictive Biomarker of Thermal Comfort
We observed that HRV is distinctively different depending on the thermal environment and that it is possible to reliably predict each subject's thermal state (cold, neutral, and hot) with up to 93. 7% accuracy.
Heart Rate Variability as an Indicator of Thermal Comfort State
We observed that HRV is distinctively altered depending on the thermal environment and that it is possible to steadfastly predict each subject's thermal environment (cold, neutral, and hot) with up to a 93. 7% prediction accuracy.
