通过实验测量，研究了HgCdTe反型层中自旋轨道耦合、塞曼效应及界面粗糙涨落效应。采用理论模型对不同温度及不同平行磁场下的反弱局域效应进行分析，结果表明，在平行磁场中，界面粗糙涨落效应与塞曼效应均会对HgCdTe反型层的反弱局域效应产生抑制作用。其中，界面粗糙涨落效应表现为产生一个二维电子气法向的弱局域效应，对样品施加平行磁场会首先抑制界面粗糙涨落效应导致的法向弱局域效应，然后才以塞曼效应继续抑制反弱局域效应。通过对参数τ/τ?与mr*g3*的分析表明，塞曼效应对反弱局域效应的抑制与温度无关。

The problem of imaging through thick scattering media is encountered in many disciplines of science, ranging from mesoscopic physics to astronomy. Photons become diffusive after propagating through a scattering medium with an optical thickness of over 10 times the scattering mean free path. As a result, no image but only noise-like patterns can be directly formed. We propose a hybrid neural network for computational imaging through such thick scattering media, demonstrating the reconstruction of image information from various targets hidden behind a white polystyrene slab of 3 mm in thickness or 13.4 times the scattering mean free path. We also demonstrate that the target image can be retrieved with acceptable quality from a very small fraction of its scattered pattern, suggesting that the speckle pattern produced in this way is highly redundant. This leads to a profound question of how the information of the target being encoded into the speckle is to be addressed in future studies.