Photonic design involves developing optical components and systems that use light for computing, communications, and sensing. With the growing complexity of these systems, the adoption of machine learning has proven effective in modeling intricate structures and extracting valuable insights from extensive datasets.
X-ray fluorescence (XRF) has become an invaluable analytical technique for non-destructively authenticating precious metal artifacts and artworks through elemental analysis, empowering art historians and archaeologists to accurately date items, determine origins, reveal hidden drafts, and distinguish forgeries from antiquities.
In the modern digital age, where data flows freely and sensitive information is constantly in transit, secure communication has become essential. Traditional encryption methods, while effective, are not immune to the evolving threat landscape.
The fusion of mass spectrometry and photonics, once seemingly unrelated, has yielded a powerful toolkit that transcends previous limits on analytical science.