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Restriction of Intramolecular Motion(RIM):Investigating AIE Mechanism from Experimental and Theoretical Studies

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Chemical Research in Chinese Universities 2021年第1期37卷 1-15页

作者： ZHANG Jianyu ZHANG Haoke lam jacky w.y. TANG Ben Zhong Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration and ReconstructionInstitute for Advanced Studyand Department of Chemical and Biological EngineeringThe Hong Kong University of Science&TechnologyClear Water BayKowloonHong KongP.R.China MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringZhejiang UniversityHangzhou310027P.R.China Center for Aggregation-Induced Emission SCUT-HKUST Joint Research InstituteState Key Laboratory of Luminescent Materials and DevicesSouth China University of TechnologyGuangzhou510640P.R.China Guangzhou Development District AIE InstituteGuangzhou510530P.R.China

Mechanistic studies promote scientific development from phenomena to ***-induced emission(AIE),as an unusual photophysical phenomenon,builds the bridge between molecular science and aggregate *** the twenty-year development of AIE,restriction of intramolecular motion(RIM)has been verified as the working mechanism of AIE *** this review,these mechanistic works about RIM are summarized from experimental and theoretical ***,the experimental studies are introduced from three parts:external rigidification,structural modification and structural *** the theoretical part,calculations on the low-frequency motion of AIEgens have been performed to prove the RIM *** virtue of the theoretical calculations,some new mechanisms are proposed to supplement the RIM,such as restriction of access to conical intersection,suppression of Kasha transition,restriction of access to dark state,*** is foreseeable that the RIM mechanism will unify the photophysical theories for both molecules and aggregates,and inspire more progress in aggregate science.

关键词： Aggregation-induced emission(AIE) Restriction of intramolecular motion Photophysical mechanism Aggregate science

具有不同长度间隔基的含联苯基团的侧链液晶聚炔的荧光行为(英文)

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物理化学学报 2010年第8期26卷 2281-2285页

作者：余振强张昕李子臣陈尔强 lam jacky w. y. 唐本忠北京大学化学与分子工程学院高分子科学与工程系高分子化学与物理教育部重点实验室北京分子科学国家实验室北京100871 深圳大学化学与化工学院深圳市功能高分子重点实验室广东深圳518060 香港科技大学化学系香港九龙

对一系列具有不同长度间隔基的含联苯基团的侧链液晶聚炔的稳态荧光和荧光衰减行为进行了研究.为便于比较,选取其中一个单体作为模型化合物.稳态荧光光谱结果表明,聚合物和单体均显示一个荧光发射,该荧光发射来源于聚合物侧链的联苯基团... 详细信息

对一系列具有不同长度间隔基的含联苯基团的侧链液晶聚炔的稳态荧光和荧光衰减行为进行了研究.为便于比较,选取其中一个单体作为模型化合物.稳态荧光光谱结果表明,聚合物和单体均显示一个荧光发射,该荧光发射来源于聚合物侧链的联苯基团.随着间隔基长度的减小,聚合物的荧光强度降低.荧光衰减结果表明单体的荧光衰减可以拟合为一个单指数衰减,而聚合物的荧光衰减拟合为三指数衰减.这种三指数衰减可能由溶液局部高浓度引起的猝灭和侧链联苯基团的旋转受阻所引起.溶剂效应表明,溶剂与联苯基团之间的相互作用随溶剂极性增加而增大.

关键词：稳态荧光单取代聚炔联苯荧光寿命溶剂效应

含二苯炔基元的侧链液晶聚炔的合成、性能及结构

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含二苯炔基元的侧链液晶聚炔的合成、性能及结构

2015年全国高分子学术论文报告会

作者：余振强李婷婷李少军 lam jacky w.y. 唐本忠深圳大学化学与化工学院深圳市功能高分子重点实验室香港科技大学深圳研究院香港科技大学化学系

单取代侧链液晶聚炔的本体相结构研究表明,当主链为顺式构型时,分子形成刚性柱状结构,进而堆砌形成柱状液晶相;当主链为反式构型时,较短的间隔基使刚性主链和侧链液晶基元之间耦合形成片状结构,可以堆砌形成分子间排列受挫的高级有序近... 详细信息

单取代侧链液晶聚炔的本体相结构研究表明,当主链为顺式构型时,分子形成刚性柱状结构,进而堆砌形成柱状液晶相;当主链为反式构型时,较短的间隔基使刚性主链和侧链液晶基元之间耦合形成片状结构,可以堆砌形成分子间排列受挫的高级有序近晶相。如果侧链基元为具有发光性能的液晶基元,形成的近晶相结构在取向后将有望发射高偏振度的线偏振光。本文在合成一系列具有不同长度间隔基和不同长度烷基尾链的含二苯炔基元的侧链液晶聚炔的基础上,通过紫外-可见分光光度法、荧光（偏振）光谱、差示扫描量热法（DSC）、变温一维和二维（1D和2D）广角X-射线衍射（wAXD）、偏光显微镜（PLM）等研究手段考察聚合物及其单体的发光行为及相结构,并采用分子动力学方法模拟其液晶相结构。结果表明,二苯炔可以作为液晶基元引入聚炔侧链形成具有发光性能的侧链液晶聚炔,在样品取向后能够产生高偏振度的线偏振光。

关键词：聚炔二苯炔发光偏振

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间隔基长度对侧链液晶聚炔相行为的影响

间隔基长度对侧链液晶聚炔相行为的影响

2013年全国高分子学术论文报告会

作者：余振强张哲林杰生朱才镇陈尔强 lam jacky w.y. 唐本忠深圳大学化学与化工学院深圳市功能高分子重点实验室北京大学化学与分子工程学院香港科技大学化学系

＜正＞聚乙炔等具有刚性主链的侧链液晶高分子的相结构与相转变的研究对理解高分子液晶凝聚态结构具有重要意义。单取代侧链液晶聚炔的本体相结构研究表明,当主链为顺式构型时,分子形成刚性柱状结构,进而堆砌形成柱状液晶相;当主链为反... 详细信息

＜正＞聚乙炔等具有刚性主链的侧链液晶高分子的相结构与相转变的研究对理解高分子液晶凝聚态结构具有重要意义。单取代侧链液晶聚炔的本体相结构研究表明,当主链为顺式构型时,分子形成刚性柱状结构,进而堆砌形成柱状液晶相;当主链为反式构型时,较短的间隔基使刚性主链和侧链液晶基元之间耦合形成片状结构,可以堆砌形成分子间排列受挫的高级有序

关键词：聚炔联苯近晶相 X-射线衍射准长程有序

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含苯并菲盘状液晶聚炔的相结构

含苯并菲盘状液晶聚炔的相结构

2010年两岸三地高分子液晶态与超分子有序结构学术研讨...

作者：余振强朱才镇刘剑洪 lam jacky w.y. 赵可清唐本忠深圳大学化学与化工学院深圳市功能高分子重点实验室香港科技大学化学系四川师范大学化学与材料科学学院

＜正＞盘状液晶材料在光存储、有机半导体、光电导体、光电池电荷传输材料及液晶显示材料等方面显示出巨大的应用前景。聚乙炔等具有刚性主链的侧链液晶高分子的相结构与相转变的研究对理解高分子液晶凝聚态结构具有重要意义。单取代侧... 详细信息

＜正＞盘状液晶材料在光存储、有机半导体、光电导体、光电池电荷传输材料及液晶显示材料等方面显示出巨大的应用前景。聚乙炔等具有刚性主链的侧链液晶高分子的相结构与相转变的研究对理解高分子液晶凝聚态结构具有重要意义。单取代侧链液晶聚炔的本体相行为的研究表明,具有刚性主链的侧链液晶聚炔以整个分子形成

关键词：聚炔盘状液晶相结构 X-射线衍射

侧链含苯并菲盘状液晶基元的侧链液晶聚炔的相行为

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侧链含苯并菲盘状液晶基元的侧链液晶聚炔的相行为

2011年全国高分子学术论文报告会

作者：余振强朱才镇刘剑洪 lam jacky w.y. 赵可清唐本忠深圳大学化学与化工学院香港科技大学化学系四川师范大学化学与材料科学学院

＜正＞单取代侧链液晶聚炔的本体相行为的研究表明,当主链为顺式构型时,分子形状为刚性柱状结构,柱状分子通过堆砌可以形成柱状液晶相;当主链为反式构型时,分子形状为片状结构,片状结构之间堆积形成近晶相。本文以侧链含苯并菲盘状液晶... 详细信息

＜正＞单取代侧链液晶聚炔的本体相行为的研究表明,当主链为顺式构型时,分子形状为刚性柱状结构,柱状分子通过堆砌可以形成柱状液晶相;当主链为反式构型时,分子形状为片状结构,片状结构之间堆积形成近晶相。本文以侧链含苯并菲盘状液晶基元的侧

关键词：聚炔盘状液晶相结构 X-射线衍射

具有不同液晶基元的双取代聚炔的相转变与相结构

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具有不同液晶基元的双取代聚炔的相转变与相结构

2009年全国高分子学术论文报告会

作者：余振强朱才镇刘剑洪陈尔强 lam jacky w.y. 唐本忠深圳大学化学与化工学院北京大学化学与分子工程香港科技大学化学系

＜正＞单取代侧链液晶聚炔的本体相行为的研究表明,当主链为螺旋的顺式-顺式、顺式-反式构象时将形成刚性棒状结构,进而形成柱状液晶相;当主链为反式-顺式、反式-反式构象时形成片状结构,片状结构之间堆积形成近晶相。即单取代侧链液晶... 详细信息

＜正＞单取代侧链液晶聚炔的本体相行为的研究表明,当主链为螺旋的顺式-顺式、顺式-反式构象时将形成刚性棒状结构,进而形成柱状液晶相;当主链为反式-顺式、反式-反式构象时形成片状结构,片状结构之间堆积形成近晶相。即单取代侧链液晶聚炔是以整个分子形成的棒状

关键词：聚炔液晶高分子相转变相结构

Physics-informed deep learning for fringe pattern analysis

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Opto-Electronic Advances 2024年第1期7卷 4-15页

作者： wei yin yuxuan Che Xinsheng Li Mingyu Li yan Hu Shijie Feng Edmund y.lam Qian Chen Chao Zuo Smart Computational Imaging Laboratory(SCILab) School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjing 210094China Smart Computational Imaging Research Institute(SCIRI)of Nanjing University of Science and Technology Nanjing 210019China Jiangsu Key Laboratory of Spectral Imaging&Intelligent Sense Nanjing 210094China Department of Electrical and Electronic Engineering The University of Hong KongPokfulamHong Kong SAR 999077China

Recently,deep learning has yielded transformative success across optics and photonics,especially in optical *** neural networks (DNNs) with a fully convolutional architecture (e.g.,U-Net and its derivatives) have been widely implemented in an end-to-end manner to accomplish various optical metrology tasks,such as fringe denoising,phase unwrapping,and fringe ***,the task of training a DNN to accurately identify an image-to-image transform from massive input and output data pairs seems at best naive,as the physical laws governing the image formation or other domain expertise pertaining to the measurement have not yet been fully exploited in current deep learning *** this end,we introduce a physics-informed deep learning method for fringe pattern analysis (PI-FPA) to overcome this limit by integrating a lightweight DNN with a learning-enhanced Fourier transform profilometry (Le FTP) *** parameterizing conventional phase retrieval methods,the Le FTP module embeds the prior knowledge in the network structure and the loss function to directly provide reliable phase results for new types of samples,while circumventing the requirement of collecting a large amount of high-quality data in supervised learning *** by the initial phase from Le FTP,the phase recovery ability of the lightweight DNN is enhanced to further improve the phase accuracy at a low computational cost compared with existing end-to-end *** results demonstrate that PI-FPA enables more accurate and computationally efficient single-shot phase retrieval,exhibiting its excellent generalization to various unseen objects during *** proposed PI-FPA presents that challenging issues in optical metrology can be potentially overcome through the synergy of physics-priors-based traditional tools and data-driven learning approaches,opening new avenues to achieve fast and accurate single-shot 3D imaging.

关键词： optical metrology deep learning physics-informed neural networks fringe analysis phase retrieval

On the use of deep learning for phase recovery

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Light(Science & Applications) 2024年第2期13卷 190-235页

作者： Kaiqiang wang Li Song Chutian wang Zhenbo Ren Guangyuan Zhao Jiazhen Dou Jianglei Di George Barbastathis Renjie Zhou Jianlin Zhao Edmund y.lam Department of Electrical and Electronic Engineering The University of Hong KongHong Kong SARChina School of Physical Science and Technology Northwestern Polytechnical UniversityXi’anChina Department of Biomedical Engineering The Chinese University of Hong KongHong Kong SARChina School of Information Engineering Guangdong University of TechnologyGuangzhouChina Department of Mechanical Engineering Massachusetts Institute of TechnologyCambridgeMAUSA

Phase recovery(PR)refers to calculating the phase of the light field from its intensity *** exemplified from quantitative phase imaging and coherent diffraction imaging to adaptive optics,PR is essential for reconstructing the refractive index distribution or topography of an object and correcting the aberration of an imaging *** recent years,deep learning(DL),often implemented through deep neural networks,has provided unprecedented support for computational imaging,leading to more efficient solutions for various PR *** this review,we first briefly introduce conventional methods for ***,we review how DL provides support for PR from the following three stages,namely,pre-processing,in-processing,and *** also review how DL is used in phase image ***,we summarize the work in DL for PR and provide an outlook on how to better use DL to improve the reliability and efficiency of ***,we present a live-updating resource(https://***/kqwang/phase-recovery)for readers to learn more about PR.

关键词： networks phase optics