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KAUST’s MFDA model chooses from 10,000 solvents and boost organic thermoelectric output by 20×, making waste-heat harvesting practical.
Induction motors are the primary way to convert electrical current into mechanical power. They are a fundamental component of industrial processes and equipment. Early fault detection and preventive ...
We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...
We apply a spectral masking autoencoder in an asymmetric structure to extract superior prior features from training data and regularize the network. Experimental results on remote sensing HSI datasets ...