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Bulk metallic glasses (BMGs) have been extremely popular in recent decades, owing to their superior properties. However, how to improve the surface functions and durability of BMGs has always been a key engineering issue. In this work, a facile laser-based surface structuring technique was developed for modulation and control of the surface functionalities of Zr-based BMG. For this technique, a laser beam was first irradiated on the surface to create periodic surface structure, followed by heat treatment to control surface chemistry. Through experimental analyses, it was clearly shown that laser surface structuring turned the BMG surface superhydrophilic, and subsequent heat treatment turned the surface superhydrophobic. We confirmed that the combination of laser-induced periodic surface structure and modified surface chemistry contributed to the wettability transition. The laser-heat-treated surface also exhibited improved antifriction performance with the help of lubrication medium. This work provides a feasible method for surface modification of BMG, suggesting applications in the areas of medicine, biology and microelectronics.

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Super-resolution (SR) has been attracting research attention in recent decades because of the growing demand for higher resolution. A large variety of algorithms in the computer vision field was applied to improve this issue. In this paper, we provide a problem-based analysis for the SR problem by dissembling the original issue into several subproblems. We broadly bring these problems under three main levels, information augmentation, mapping, and orientation and control. Furthermore, we elaborate on various research perspectives under each level, summarizing typical and advanced algorithms improved on related processes. Besides, we discuss the similar ideas and evolutionary relationships revealed in different methods. We also arrange some popular datasets and competitions in the SR field. By doing this, we aim to inspire deeper investigation and enlighten possible research sites of SR problems in the future.