This work presents a deep learning (DL)-assisted inverse-design framework for the automated synthesis of multifunctional pixelated metasurfaces. A deep neural network (DNN) is trained to map ...

Computational science is a discipline concerned with the design, implementation and use of mathematical models to analyse and solve scientific problems. Typically, the term refers to the use of ...

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Many techniques in computational materials science require scientists to identify the right set of parameters that capture the physics of the specific material they are studying. Calculating these ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Traditional computational approaches make the problem manageable by stripping away much of that real-material complexity.

Academics OverviewExplore our degrees, programs, courses, and other enrichment opportunities. All Areas of StudyView a chart of all study areas cross-categorized by degree type. Undergraduate Study ...

Materials science explores the structure and properties of materials — semiconductors, metals, ceramics, polymers, composites and more — to understand and improve their performance. From smartphone ...