Predicting underwater landslides before they strike
Peer-Reviewed Publication
Updates every hour. Last Updated: 6-Nov-2025 16:11 ET (6-Nov-2025 21:11 GMT/UTC)
A new method for predicting underwater landslides may improve the resilience of offshore facilities.
Crucial guidance to empower countries to develop or review their position on international law and cyber activities has been unveiled.
Phase reconstruction, as a key technology in the field of optics, aims to recover phase information from the intensity information of light waves. The phase of light waves contains crucial information such as the shape, thickness, and refractive index distribution of transparent objects, which is indispensable for many fields, including holographic imaging, optical microscopy, laser interferometry measurement, and even adaptive optical systems. However, since most detectors can only capture light intensity data, directly measuring the phase of light waves has always been technically challenging and remains unachievable. There are various traditional phase reconstruction methods, including interference-based measurement techniques, Fourier transform-based phase recovery techniques, and iterative phase recovery techniques. Although phase reconstruction technology has shown great application potential in many fields, it still faces a series of technical difficulties. In complex light field environments, the accuracy and stability of phase reconstruction may be affected by noise interference and algorithm convergence issues.
Understanding the fundamental energy configuration of thermally activated delayed fluorescence (TADF) materials, the key material that make OLEDs, is critical in developing new more advanced OLEDs. However, current analytical methods have been occasionally unreliable due to its inherent subjectivity and conditional assumptions. Now, researchers have developed a new analytical model that details the kinetics and state dynamics of excitons in TADF materials.
Ten proposals were selected for the 2025 round of funding from the LAUNCH: Center for New Ventures' program that supports faculty in advancing the life-changing potential of technology emerging from their research.