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Interfacially stable MOF nanosheet membrane with tailored nanochannels for ultrafast and thermo-responsive nanofiltration 被引量:5
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作者 Wei Jia Baohu Wu +1 位作者 Shengtong Sun Peiyi Wu 《Nano Research》 SCIE EI CAS CSCD 2020年第11期2973-2978,共6页
Two-dimensional nanosheet membranes with responsive nanochannels are appealing for controlled mass transfer/separation,but limited by everchanging thicknesses arising from unstable interfaces.Herein,an interfacially s... Two-dimensional nanosheet membranes with responsive nanochannels are appealing for controlled mass transfer/separation,but limited by everchanging thicknesses arising from unstable interfaces.Herein,an interfacially stable,thermo-responsive nanosheet membrane is assembled from twin-chain stabilized metal-organic framework(MOF)nanosheets,which function via two cyclic amide-bearing polymers,thermo-responsive poly(N-vinyl caprolactam)(PVCL)for adjusting channel size,and non-responsive polyvinylpyrrolidone for supporting constant interlayer distance.Owing to the microporosity of MOF nanosheets and controllable interface wettability,the hybrid membrane demonstrates both superior separation performance and stable thermo-responsiveness.Scattering and correlation spectroscopic analyses further corroborate the respective roles of the two polymers and reveal the microenvironment changes of nanochannels are motivated by the dehydration of PVCL chains. 展开更多
关键词 metal-organic framework(MOF)nanosheet membrane thermo-responsiveness molecular separation infrared(IR)spectroscopy
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Designs to Improve Capability of Neural Networks to Make Structural Predictions 被引量:1
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作者 Tian-Yao Wang Jian-Feng Li +1 位作者 Hong-Dong Zhang Jeff Z.Y.Chen 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2023年第9期1477-1485,I0009,共10页
A deep neural network model generally consists of different modules that play essential roles in performing a task.The optimal design of a module for use in modeling a physical problem is directly related to the succe... A deep neural network model generally consists of different modules that play essential roles in performing a task.The optimal design of a module for use in modeling a physical problem is directly related to the success of the model.In this work,the effectiveness of a number of special modules,the self-attention mechanism for recognizing the importance of molecular sequence information in a polymer,as well as the big-stride representation and conditional random field for enhancing the network ability to produce desired local configurations,is numerically studied.Network models containing these modules are trained by using the well documented data of the native structures of the HP model and assessed according to their capability in making structural predictions of unseen data.The specific network design of self-attention mechanism adopted here is modified from a similar idea in natural language recognition.The big-stride representation module introduced in this work is shown to drastically improve network's capability to model polymer segments of strong lattice position correlations. 展开更多
关键词 Deep neural network Self-attention mechanism Big-stride representation Conditional random methods
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Kinetic Pattern Formation with Intermolecular Interactions:A Modified Brusselator Model 被引量:1
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作者 Rui-Qi Sun Jian-Feng Li +1 位作者 Hong-Dong Zhang Yu-Liang Yang 《Chinese Journal of Polymer Science》 SCIE CAS CSCD 2021年第12期1673-1679,共7页
In this work,we modify the traditi onal Brusselator model to in corporate the intermolecular interactions,based on which a systematic study is performed on the pattern formation mediated by chemical reaction and phase... In this work,we modify the traditi onal Brusselator model to in corporate the intermolecular interactions,based on which a systematic study is performed on the pattern formation mediated by chemical reaction and phase separation.It is found that if the chemical reaction dominates,the pattern formation will be inhibited by the phase separation while if the phase separation dominates,the chemical reaction will preve nt,un der certain conditi ons,the domain size from growing which results in dissipative patter ns other tha n macroscopic phase separations. 展开更多
关键词 Brusselator model Regular solution Phase separation
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