Recently, a research team led by Prof. ZHU Kunpeng from the Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, developed a physics-guided deep learning framework for milling dynamics prediction. The framework enables simultaneous prediction of instantaneous milling forces and spindle vibrations under varying cutting conditions.
Recently, a research team from the Hefei Institute of Physical Science of the Chinese Academy of Sciences, developed a compact spectroradiometer based on a virtually imaged phased array (VIPA) and demonstrated its first application in retrieving vertical profiles of atmospheric water vapor.
Recently, a research team from Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with Hefei Cancer Hospital, developed an interpretable stacked ensemble learning framework for detecting serum tumor biomarkers. By combining the framework with surface-enhanced Raman spectroscopy (SERS), the team achieved high-precision quantitative analysis of up to 12 biomarkers in serum.
Researchers from the Hefei Institutes of Physical Science analyzed 32 years of global ground-based observations from the Aerosol Robotic Network (AERONET) and studied how aerosol optical depth (AOD) changes throughout the day.
Recently, a research team led by Professor Chen Gen at the Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, carried out a systematic study on plasma-induced mutagenesis for microalgae breeding and carbon dioxide fixation.