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您的检索式：作者名="Yurui Ming"
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| 1 | Quantum topology identification with deep neural networks and quantum walks显示文摘Topologically ordered materials may serve as a platform for new quantum technologies,such as fault-tolerant quantum computers.To fulfil this promise,efficient and general methods are needed to discover and classify new topological phases of matter.We demonstrate that deep neural networks augmented with external memory can use the density profiles formed in quantum walks to efficiently identify properties of a topological phase as well as phase transitions.On a trial topological ordered model,our method’s accuracy of topological phase identification reaches 97.4%,and is shown to be robust to noise on the data.Furthermore,we demonstrate that our trained DNN is able to identify topological phases of a perturbed model,and predict the corresponding shift of topological phase transitions without learning any information about the perturbations in advance.These results demonstrate that our approach is generally applicable and may be used to identify a variety of quantum topological materials. | Yurui Ming Chin-Teng Lin Stephen D.Bartlett Wei-Wei Zhang | 2019 | npj Computational Materials2019，，1： | 1 |
| 2 | Synthesis and optimization of high-performance amine-based polymer for CO_(2) separation显示文摘Membrane technology features inspiring excellence from numerous separation technologies for CO_(2) capture from post-combustion gas.Polyvinylamine(PVAm)-based facilitated transport membranes show significantly high separation performance,which has been proven promising for industrial scale-up.However,commercialized PVAm with low molecular weight and excessive crystallinity is not available to prepare high-performance membranes.Herein,the synthesis process of PVAm was optimized by regulating polymerization and acidic hydrolytic conditions.The membranes based on PVAm with a molecular weight of 154 kDa and crystallinity of 11.37%display high CO_(2) permeance of 726 GPU and CO_(2)/N_(2) selectivity of 55 at a feed gas pressure of 0.50 MPa.Furthermore,we established a PVAm synthesis reactor with an annual PVAm solution(1%(mass))capacity of over 7000 kg and realized the scaled-up manufacture of both PVAm and composite membranes. | Ye Yuan Yurui Pan Menglong Sheng Guangyu Xing Ming Wang Jixiao Wang Zhi Wang | 2022 | Chinese Journal of Chemical Engineering2022，，10： | 0 |
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