Researchers have developed a deep-learning-based surrogate model that dramatically speeds up simulations of nonlinear optical ...

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According to social science research conducted by Brian Uzzi, professor of leadership and organizational change at the Kellogg School of Management, most people choose friends and colleagues based on ...

Chromatic dispersion is a common problem to degrade the system resolution in optical coherence tomography (OCT). This study is to develop a deep learning network for automated dispersion compensation ...

There is significant interest and importance to develop robust machine learning models to assist organic chemistry synthesis. Typically, task-specific machine learning models for distinct reaction ...