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Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space
In this work, we train a Variational Autoencoders (VAE) to produce reconstructions of textures that preserve the spatial statistics of the original texture, while not necessarily reconstructing the same image in data space.
Prognosis of Multivariate Battery State of Performance and Health via Transformers
Understanding battery performance and "useful life" as a function of design and use is of paramount importance to accelerating adoption.
Flame Stability Analysis of Flame Spray Pyrolysis by Artificial Intelligence
This research has the potential to autonomously track and manage flame spray pyrolysis as well as other flame technologies by monitoring and classifying the flame stability.
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