Shirts are full of curves—collars, cuffs, sleeves—but sewing machines operate in straight lines. Engineers opted to replace ...
Abstract: Optical nonlinear media are the building blocks of nonlinear optics, which are commonly characterized by nonlinear polarizability. The inversion of polarizability for nonlinear media is an ...
Morning Overview on MSN
Sound waves may let researchers remotely tune material stiffness on demand
A team co-led by UC San Diego and the University of Michigan reports that short pulses of sound could remotely drag a structural defect through a metamaterial lattice, potentially letting researchers ...
Abstract: Diffusion models have emerged as powerful tools for solving inverse problems due to their exceptional ability to model complex prior distributions. However, existing methods predominantly ...
Physics-based analytical solvers (Helmholtz equation, TM polarization) Neural surrogate models for fast forward simulations Deep learning pipelines for classification and localization of internal ...
Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
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