NestedAE: interpretable nested autoencoders for multi-scale materials characterization
The multi-scale features and latent space are connected by a nested autoencoder.
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The multi-scale features and latent space are connected by a nested autoencoder.
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Amphiphilic homopolymer synthesis and formation of micelles and vesicles in selective solvents.
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A battery electrode composition is provided that comprises composite particles. Each of the composite particles in the composition (which may represent all or a portion of a larger composition) may comprise a porous electrode particle and a filler material. The porous electrode particle may comprise active material provided to store and release ions during battery operation. The filler material may occupy at least a portion of the pores of the electrode particle. The filler material may be liquid and not substantially conductive with respect to electron transport.
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This study examines the intricate area of refractory-based high entropy alloys (RHEAs), focusing on a series of complex compositions involving nine diverse refractory elements: Ti, V, Cr, Zr, Nb, Mo, Hf, Ta, and W.
Description of impacts to Sandia NCS benchmark suite following implementation of ENDF/B-VIII.0 nuclear data library.
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