Laser ablation has emerged as a novel method to synthesize various nanomaterials.1-3 Currently, most works merely focus on the material synthesis using laser ablation technique with little attention to the relationship between the ablated substrates and the synthesized materials. This work is aimed at filling this gap and giving new insights based on laser ablation of single crystal diamond-cubic (dc) (400) Si in air. Polycrystallization is a ubiquitous phenomenon occurring during laser ablation of Si. The polycrystallization rate of the ablated areas increases with increasing the laser powers, which well explains the polycrystalline instinct of the synthesized nanomaterials. Faster cooling rates of the laser-generated molten Si layers over their nucleation rates result in the surface amorphoization. The molten layers together with the newly formed polycrystalline Si materials will be pushed upward in air by shockwaves to solidify into the amorphous SiOx encapsulated polycrystalline Si composites.
1. Zhang, D.; Gökce, B.; Barcikowski, S. Laser Synthesis and Processing of Colloids: Fundamentals and Applications. Chem. Rev. 2017, 117, 3990.
2. Zhang, D.; Liu, J.; Li, P.; Tian, z.; Liang, C. Recent Advances in Surfactant-Free, Surface Charged and Defect-Rich Catalysts Developed by Laser Ablation and Processing in Liquids. ChemNanoMat 2017, DOI:10.1002/cnma.201700079.
3. Zhang, D.; Liu, J.; Liang, C. Perspective on how laser-ablated particles grow in liquids. Sci. China Phys. Mech. Astron. 2017, 60, 074201.
A thermal infrared(MWIR or LWIR) integral imaging(II) system is proposed for acquiring and displaying 3D surface
infrared emission radiance information of a real target. To intuitively analyze infrared integral image quality, we perform
the numerical simulation and reconstruction of thermal integral image based on the modeling of sensor physical effects.
Specifically, the 3D object with thermal infrared radiance texture is first focused into infrared elemental images by
combining the virtual model of infrared microlens array and the response characteristics of detector array. Further, the
displayed thermal elemental images are obtained by simulating main degradation factors including the spatial filtering
blur, sampling effects, and spatial-temporal noise involved in practical infrared sensor. Finally, the thermal infrared 3D
integral image is reconstructed by plane-plane reconstruction technique (PPRT) method based on the degraded elemental
images. Their simulation results are demonstrated and analyzed. To the best of our knowledge, this is the first time to
study thermal infrared II system and implement computational II reconstruction by considering thermal sensor physical