Exploring Chinese culture through Black Myth:Wukong.China is becoming the world’s largest video game market,with sales expected to exceed 300 billion yuan($42.3 billion)by 2023.Long dominated by mobile games,the market is undergoing a significant shift,with more and more Chinese gamers expressing a desire for more sophisticated video game experiences,epitomised by the so-called“AAA”games.
Since its release on video game distribution services inAugust,Black Myth:Wukong,an action roleplaying game developed and published by Chinese video game developer and publishing company Game Science,has garnered a lot of attention and excitement globally,becoming one of the most talked-about games to have come out in recent years.
The high pixel resolution is emerging as one of the key parameters for the next-generation displays.Despite the development of various quantum dot(QD)patterning techniques,achieving ultrahigh-resolution(>10,000 pixels per inch(PPI))and high-fidelity QD patterns is still a tough challenge that needs to be addressed urgently.Here,we propose a novel and effective approach of orthogonal electric field-induced template-assisted dielectric electrophoretic deposition to successfully achieve one of the highest pixel resolutions of 23090(PPI)with a high fidelity of up to 99%.Meanwhile,the proposed strategy is compatible with the preparation of QD pixels based on perovskite CsPbBr3 and conventional CdSe QDs,exhibiting a wide applicability for QD pixel fabrication.Notably,we further demonstrate the great value of our approach to achieve efficiently electroluminescent QD pixels with a peak external quantum efficiency of 16.5%.Consequently,this work provides a general approach for realizing ultrahighresolution and high-fidelity patterns based on various QDs and a novel method for fabricating QD-patterned devices with high performance.
The bidirectional reflectance distribution function(BRDF)of the land surface contains information relating to its physical structure and composition.Accurate BRDF modeling for heterogeneous pixels is important for global ecosystem monitoring and radiation balance studies.However,the original kerneldriven models,which many operational BRDF/Albedo algorithms have adopted,do not explicitly consider the heterogeneity within heterogeneous pixels,which may result in large fitting residuals.In this paper,we attempted to improve the fitting ability of the kernel-driven models over heterogeneous pixels by changing the inversion approach and proposed a dynamic weighted least squares(DWLS)inversion approach.The performance of DWLS and the traditional ordinary least squares(OLS)inversion approach were compared using simulated data.We also evaluated its ability to reconstruct multiangle satellite observations and provide accurate BRDF using unmanned aerial vehicle observations.The results show that the developed DWLS approach improves the accuracy of modeled BRDF of heterogeneous pixels.The DWLS approach applied to satellite observations shows better performance than the OLS method in study regions and exhibits smaller mean fitting residuals both in the red and near-infrared bands.The DWLS approach also shows higher BRDF modeling accuracy than the OLS approach with unmanned aerial vehicle observations.These results indicate that the DWLS inversion approach can be a better choice when kernel-driven models are used for heterogeneous pixels.