Absorption Coefficient

Absorption coefficients quantify the extent to which a material absorbs energy from a wave, such as light or sound, and are crucial for diverse applications from gas sensing to medical imaging. Current research focuses on improving the accuracy and efficiency of absorption coefficient estimation, employing techniques like machine learning (including neural networks and transformers), physics-driven corrections, and novel signal processing methods to overcome challenges posed by noise, scattering, and complex environments. These advancements are driving progress in fields ranging from environmental monitoring (e.g., methane detection) to material characterization and medical diagnostics, enabling more precise measurements and improved data interpretation.