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Molecular identification with atomic force microscopy and conditional generative adversarial networks

Chemistry

Molecular identification with atomic force microscopy and conditional generative adversarial networks

J. Carracedo-cosmé and R. Pérez

Discover how Jaime Carracedo-Cosmé and Rubén Pérez push the boundaries of molecular imaging with their innovative Conditional Generative Adversarial Network. This groundbreaking method allows for the extraction of chemical information from high-resolution atomic force microscopy images, leading to precise molecular identification through visually striking ball-and-stick depictions.

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