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您的检索式：作者名="Shuning Pan"
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| 1 | MAGUS:machine learning and graph theory assisted universal structure searcher显示文摘Crystal structure predictions based on first-principles calculations have gained great success in materials science and solid state physics.However,the remaining challenges still limit their applications in systems with a large number of atoms,especially the complexity of conformational space and the cost of local optimizations for big systems.Here,we introduce a crystal structure prediction method,MAGUS,based on the evolutionary algorithm,which addresses the above challenges with machine learning and graph theory.Techniques used in the program are summarized in detail and benchmark tests are provided.With intensive tests,we demonstrate that on-the-fly machine-learning potentials can be used to significantly reduce the number of expensive first-principles calculations,and the crystal decomposition based on graph theory can efficiently decrease the required configurations in order to find the target structures.We also summarized the representative applications of this method on several research topics,including unexpected compounds in the interior of planets and their exotic states at high pressure and high temperature(superionic,plastic,partially diffusive state,etc.);new functional materials(superhard,high-energy-density,superconducting,photoelectric materials),etc.These successful applications demonstrated that MAGUS code can help to accelerate the discovery of interesting materials and phenomena,as well as the significant value of crystal structure predictions in general. | Junjie Wang Hao Gao Yu Han Chi Ding Shuning Pan Yong Wang Qiuhan Jia Hui-Tian Wang Dingyu Xing Jian Sun | 2023 | National Science Review2023，10，7： | 1 |
| 2 | Metallic Aluminum Suboxides with Ultrahigh Electrical Conductivity at High Pressure显示文摘Aluminum,as the most abundant metallic elemental content in the Earth's crust,usually exists in the form of alumina(Al_(2)O_(3)).However,the oxidation state of aluminum and the crystal structures of aluminum oxides in the pressure range of planetary interiors are not well established. | Tianheng Huang Cong Liu Junjie Wang Shuning Pan Yu Han Chris J.Pickard Ravit Helled Hui-Tian Wang Dingyu Xing Jian Sun | 2023 | Research2023，，2： | 0 |
| 3 | Learning Single-Shot Detector with Mask Prediction and Gate Mechanism显示文摘Detection efficiency plays an increasingly important role in object detection tasks.One-stage methods are widely adopted in real life because of their high efficiency especially in some real-time detection tasks such as face recognition and self-driving cars.RetinaMask achieves significant progress in the field of one-stage detectors by adding a semantic segmentation branch,but it has limitation in detecting multi-scale objects.To solve this problem,this paper proposes RetinaMask with Gate(RMG)model,consisting of four main modules.It develops RetinaMask with a gate mechanism,which extracts and combines features at different levels more effectively according to the size of objects.It firstly extracted multi-level features from input image by ResNet.Secondly,it constructed a fused feature pyramid through feature pyramid network,then gate mechanism was employed to adaptively enhance and integrate features at various scales with the respect to the size of object.Finally,three prediction heads were added for classification,localization and mask prediction,driving the model to learn with mask prediction.The predictions of all levels were integrated during the post-processing.The augment network shows better performance in object detection without the increase of computation cost and inference time,especially for small objects. | Jingyi Chen Haiwei Pan Qianna Cui Yang Dong Shuning He | 2020 | 国际计算机前沿大会会议论文集2020，，1： | 0 |
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