When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically ...

Penn Engineers have developed a mathematical "Rosetta Stone" that translates atomic and molecular movements into predictions ...

Penn Engineers have developed a mathematical "Rosetta Stone" that translates atomic and molecular movements into predictions of larger-scale effects ...

Have you ever wondered about the groundbreaking moments and discoveries that shaped our modern lives? From how we communicate ...

Matrix-matched standards are crucial for XRF accuracy. Dr. Shiv Verma outlines their impact on elemental analysis and the prevention of calibration errors.