In this article Florian Puchtler at affiliation‘University of Bayreuth’,Josef Breu at affiliation‘University of Bayreuth’,and Ziliang Wu at affiliation‘Zhejiang University’was missing from the author Min Cao,Sen...In this article Florian Puchtler at affiliation‘University of Bayreuth’,Josef Breu at affiliation‘University of Bayreuth’,and Ziliang Wu at affiliation‘Zhejiang University’was missing from the author Min Cao,Senping Liu,Qingli Zhu,Ya Wang,Jingyu Ma,Zeshen Li,Dan Chang,Enhui Zhu,Xin Ming,Florian Puchtler,Josef Breu,Ziliang Wu,Yingjun Liu,Yanqiu Jiang,Zhen Xu,Chao Gao list.展开更多
In 2022,The MOE Key Laboratory of Macromolecular Synthesis and Functionalization in Zhejiang University had achieved several important results.First,a series of well-defined dinuclear organoboron catalysts were develo...In 2022,The MOE Key Laboratory of Macromolecular Synthesis and Functionalization in Zhejiang University had achieved several important results.First,a series of well-defined dinuclear organoboron catalysts were developed to precisely control the enchainment of ether and carbonate segments during the copolymerization of CO_(2)and epoxides.Second,polyester had been synthesized through cationic copolymerization of cyclic anhydride.Third,ring-opening polymerization of carbon dioxide based valerolactone had been achieved,revealing the prospect of 3-ethylidene-6-vinyltetrahydro-2H-pyran-2-one(EVL)in utilizing CO_(2)and synthesizing functional polymers.Fourth,machine learning methods have been applied to biomaterial research,enabling high-throughput screening of functional biomaterial surfaces for implantable devices,and searching for potent antimicrobial peptides in whole combinatorial peptide libraries.Fifth,methods of characterization of biomacromolecule RNA transcription and manipulation of nucleoside modification were developed.Sixth,artificial enzymes-armed Bifidobacterium Longum probiotics were established to tune down gut inflammation.Seventh,three-dimensional(3D)printing technologies were used to engineer tough supramolecular hydrogels.Eighth,hydroplastic foaming graphene frameworks for acoustic and conductive polymer composites were provided for application.Ninth,aggregate photophysics about the nature of through-space interactions(TSIs)and manipulating their strength in small molecules with non-conjugated structure had been elucidated.Tenth,the forming mechanism of a newfound nested texture in poly(L-lactic acid)(PLLA)spherulitic films had been revealed.Finally,the isotropically dyeing mechanism of KDP single crystals grown from hydrogels have been explored.The related works are reviewed in this paper.展开更多
Visualization and artificial intelligence(AI)are well-applied approaches to data analysis.On one hand,visualization can facilitate humans in data understanding through intuitive visual representation and interactive e...Visualization and artificial intelligence(AI)are well-applied approaches to data analysis.On one hand,visualization can facilitate humans in data understanding through intuitive visual representation and interactive exploration.On the other hand,AI is able to learn from data and implement bulky tasks for humans.In complex data analysis scenarios,like epidemic traceability and city planning,humans need to understand large-scale data and make decisions,which requires complementing the strengths of both visualization and AI.Existing studies have introduced AI-assisted visualization as AI4VIS and visualization-assisted AI as VIS4AI.However,how can AI and visualization complement each other and be integrated into data analysis processes are still missing.In this paper,we define three integration levels of visualization and AI.The highest integration level is described as the framework of VIS+AI,which allows AI to learn human intelligence from interactions and communicate with humans through visual interfaces.We also summarize future directions of VIS+AI to inspire related studies.展开更多
Automatic visualization generates meaningful visualizations to support data analysis and pattern finding for novice or casual users who are not familiar with visualization design.Current automatic visualization approa...Automatic visualization generates meaningful visualizations to support data analysis and pattern finding for novice or casual users who are not familiar with visualization design.Current automatic visualization approaches adopt mainly aggregation and filtering to extract patterns from the original data.However,these limited data transformations fail to capture complex patterns such as clusters and correlations.Although recent advances in feature engineering provide the potential for more kinds of automatic data transformations,the auto-generated transformations lack explainability concerning how patterns are connected with the original features.To tackle these challenges,we propose a novel explainable recommendation approach for extended kinds of data transformations in automatic visualization.We summarize the space of feasible data transformations and measures on explainability of transformation operations with a literature review and a pilot study,respectively.A recommendation algorithm is designed to compute optimal transformations,which can reveal specified types of patterns and maintain explainability.We demonstrate the effectiveness of our approach through two cases and a user study.展开更多
Assembling two-dimensional(2D)sheets into macroscopic three-dimensional(3D)forms has created a promising material family with rich functionalities.Multiscale wrinkles are intrinsic features of 2D sheets in their 3D as...Assembling two-dimensional(2D)sheets into macroscopic three-dimensional(3D)forms has created a promising material family with rich functionalities.Multiscale wrinkles are intrinsic features of 2D sheets in their 3D assembles.Therefore,the precise wrinkling modulation optimizes the transition of outstanding properties of 2D sheets to expected performances of assembled materials and dominates their fabrication process.The wrinkling evolution of 2D sheets assembling onto flat surfaces has been extensively understood,however,the wrinkling behaviors on the more generally curved surface still remain unclear.Here,we investigate the wrinkling behaviors of graphene oxide sheets assembled onto curved surfaces and reveal the selection rule of wrinkling modes that determined by the curvature mismatch between 2D sheets and target surfaces.We uncover that three wrinkling modes including isotropic cracked land,labyrinth,and anisotropic curtain phases,respectively emerge on flat,spherical,and cylindrical surfaces.A favorable description paradigm is offered to quantitatively measure the complex wrinkling patterns and assess the curvature mismatch constraint underlying the wrinkling mode selection.This research provides a general and quantitative description framework of wrinkling modulation of 2D materials such as high performance graphene fibers,and guides the precise fabrication of particles and functional coatings.展开更多
In 2020, the MOE Key Laboratory of Macromolecular Synthesis and Functionalization in Zhejiang University had made progresses in several aspects. First, a series of metal-free organoboron catalysts had been designed an...In 2020, the MOE Key Laboratory of Macromolecular Synthesis and Functionalization in Zhejiang University had made progresses in several aspects. First, a series of metal-free organoboron catalysts had been designed and synthesized facilely, exhibiting outstanding reactivity, thermalstability and productivity in different kinds of polymerization and cycloaddition reactions. Second, a variety of chalcogen(O, S, Se)-rich polymers had been synthesized via organocatalysis and fabricated to be the ionic conductive and photoluminescent materials. Third, diverse microenvironment-sensitive nanoparticles had been designed,and novel strategies had been realized, to enhance the therapeutic efficacy in cancer as well as biofilmassociated infections. Fourth, m6 A modification on cellular transcriptome-wide messenger RNA had been successfully mapped at single base resolution using a metabolic labeling method. Fifth, a hydrogel-based robot had been developed, showing swift locomotion as a response to dynamic light stimulations. Sixth,the conformation-size scaling law and the conformation evolution map of 2 D macromolecules in solution had been elucidated experimentally, in the single-layer graphene oxide model. Seventh, semitransparent polymer solar cells, promising as building-integrated photovoltaics, have been developed with the fine balance among power conversion efficiency, visible light transparency and infrared photon radiation rejection. Finally, long-range ordered bulk-heterojunctions of organic semiconductors had been achieved,and their superior optoelectronic properties and potential application in photoelectric conversion had been revealed. The related work progresses are reviewed in this paper.展开更多
Liquid metal is an ideal conductive material for soft electronics because of its high conductivity and fluidity at room temperature.However,the large surface tension and high mass density of liquid metal make forming ...Liquid metal is an ideal conductive material for soft electronics because of its high conductivity and fluidity at room temperature.However,the large surface tension and high mass density of liquid metal make forming three-dimensional(3D)dangling structures a challenging task.Reported here is a suspension printing strategy for direct deposition of galinstan-based liquid metal into 3D dangling structures with high shape fidelity and spatial resolution(~150μm).Acrylamide/nanoclay suspension served as a yieldstress fluid support bath,with selected hydrogen peroxide to immediately oxidize the gallium skin and strengthen the extruded liquid metal,thus continuous liquid metal filaments were deposited successfully.The subsequent photo-curing of acrylamide/nanoclay works as a resilient outer packaging,giving rise to a~500%tensile deformation for liquid metal-hydrogel composite.This suspension printing strategy should broaden the opportunity of using 3D and functional liquid metal constructs for soft yet resilient electromagnetic devices.展开更多
文摘In this article Florian Puchtler at affiliation‘University of Bayreuth’,Josef Breu at affiliation‘University of Bayreuth’,and Ziliang Wu at affiliation‘Zhejiang University’was missing from the author Min Cao,Senping Liu,Qingli Zhu,Ya Wang,Jingyu Ma,Zeshen Li,Dan Chang,Enhui Zhu,Xin Ming,Florian Puchtler,Josef Breu,Ziliang Wu,Yingjun Liu,Yanqiu Jiang,Zhen Xu,Chao Gao list.
基金the support from the SCI-TECH Academy of Zhejiang University。
文摘In 2022,The MOE Key Laboratory of Macromolecular Synthesis and Functionalization in Zhejiang University had achieved several important results.First,a series of well-defined dinuclear organoboron catalysts were developed to precisely control the enchainment of ether and carbonate segments during the copolymerization of CO_(2)and epoxides.Second,polyester had been synthesized through cationic copolymerization of cyclic anhydride.Third,ring-opening polymerization of carbon dioxide based valerolactone had been achieved,revealing the prospect of 3-ethylidene-6-vinyltetrahydro-2H-pyran-2-one(EVL)in utilizing CO_(2)and synthesizing functional polymers.Fourth,machine learning methods have been applied to biomaterial research,enabling high-throughput screening of functional biomaterial surfaces for implantable devices,and searching for potent antimicrobial peptides in whole combinatorial peptide libraries.Fifth,methods of characterization of biomacromolecule RNA transcription and manipulation of nucleoside modification were developed.Sixth,artificial enzymes-armed Bifidobacterium Longum probiotics were established to tune down gut inflammation.Seventh,three-dimensional(3D)printing technologies were used to engineer tough supramolecular hydrogels.Eighth,hydroplastic foaming graphene frameworks for acoustic and conductive polymer composites were provided for application.Ninth,aggregate photophysics about the nature of through-space interactions(TSIs)and manipulating their strength in small molecules with non-conjugated structure had been elucidated.Tenth,the forming mechanism of a newfound nested texture in poly(L-lactic acid)(PLLA)spherulitic films had been revealed.Finally,the isotropically dyeing mechanism of KDP single crystals grown from hydrogels have been explored.The related works are reviewed in this paper.
基金supported by the National Natural Science Foundation of China(Grant Nos.62202244,62132017,and 62036010).
文摘Visualization and artificial intelligence(AI)are well-applied approaches to data analysis.On one hand,visualization can facilitate humans in data understanding through intuitive visual representation and interactive exploration.On the other hand,AI is able to learn from data and implement bulky tasks for humans.In complex data analysis scenarios,like epidemic traceability and city planning,humans need to understand large-scale data and make decisions,which requires complementing the strengths of both visualization and AI.Existing studies have introduced AI-assisted visualization as AI4VIS and visualization-assisted AI as VIS4AI.However,how can AI and visualization complement each other and be integrated into data analysis processes are still missing.In this paper,we define three integration levels of visualization and AI.The highest integration level is described as the framework of VIS+AI,which allows AI to learn human intelligence from interactions and communicate with humans through visual interfaces.We also summarize future directions of VIS+AI to inspire related studies.
基金Project supported by the National Natural Science Foundation of China(No.62132017)the Fundamental Research Funds for the Central Universities,China(No.226202200235)。
文摘Automatic visualization generates meaningful visualizations to support data analysis and pattern finding for novice or casual users who are not familiar with visualization design.Current automatic visualization approaches adopt mainly aggregation and filtering to extract patterns from the original data.However,these limited data transformations fail to capture complex patterns such as clusters and correlations.Although recent advances in feature engineering provide the potential for more kinds of automatic data transformations,the auto-generated transformations lack explainability concerning how patterns are connected with the original features.To tackle these challenges,we propose a novel explainable recommendation approach for extended kinds of data transformations in automatic visualization.We summarize the space of feasible data transformations and measures on explainability of transformation operations with a literature review and a pilot study,respectively.A recommendation algorithm is designed to compute optimal transformations,which can reveal specified types of patterns and maintain explainability.We demonstrate the effectiveness of our approach through two cases and a user study.
基金supported by the National Natural Science Foundation of China(Nos.52122301,51973191,52090030,and 51533008)Hundred Talents Program of Zhejiang University(No.188020*194231701/113)+2 种基金Key Research and Development Plan of Zhejiang Province(No.2018C01049)Shanxi-Zheda Institute of New Materials and Chemical Engineering(No.2012SZ-FR004)the Fundamental Research Funds for the Central Universities(Nos.K20200060,2017QNA4036,and 2017XZZX001-04).
文摘Assembling two-dimensional(2D)sheets into macroscopic three-dimensional(3D)forms has created a promising material family with rich functionalities.Multiscale wrinkles are intrinsic features of 2D sheets in their 3D assembles.Therefore,the precise wrinkling modulation optimizes the transition of outstanding properties of 2D sheets to expected performances of assembled materials and dominates their fabrication process.The wrinkling evolution of 2D sheets assembling onto flat surfaces has been extensively understood,however,the wrinkling behaviors on the more generally curved surface still remain unclear.Here,we investigate the wrinkling behaviors of graphene oxide sheets assembled onto curved surfaces and reveal the selection rule of wrinkling modes that determined by the curvature mismatch between 2D sheets and target surfaces.We uncover that three wrinkling modes including isotropic cracked land,labyrinth,and anisotropic curtain phases,respectively emerge on flat,spherical,and cylindrical surfaces.A favorable description paradigm is offered to quantitatively measure the complex wrinkling patterns and assess the curvature mismatch constraint underlying the wrinkling mode selection.This research provides a general and quantitative description framework of wrinkling modulation of 2D materials such as high performance graphene fibers,and guides the precise fabrication of particles and functional coatings.
基金support from the SCI-TECH Academy of Zhejiang University。
文摘In 2020, the MOE Key Laboratory of Macromolecular Synthesis and Functionalization in Zhejiang University had made progresses in several aspects. First, a series of metal-free organoboron catalysts had been designed and synthesized facilely, exhibiting outstanding reactivity, thermalstability and productivity in different kinds of polymerization and cycloaddition reactions. Second, a variety of chalcogen(O, S, Se)-rich polymers had been synthesized via organocatalysis and fabricated to be the ionic conductive and photoluminescent materials. Third, diverse microenvironment-sensitive nanoparticles had been designed,and novel strategies had been realized, to enhance the therapeutic efficacy in cancer as well as biofilmassociated infections. Fourth, m6 A modification on cellular transcriptome-wide messenger RNA had been successfully mapped at single base resolution using a metabolic labeling method. Fifth, a hydrogel-based robot had been developed, showing swift locomotion as a response to dynamic light stimulations. Sixth,the conformation-size scaling law and the conformation evolution map of 2 D macromolecules in solution had been elucidated experimentally, in the single-layer graphene oxide model. Seventh, semitransparent polymer solar cells, promising as building-integrated photovoltaics, have been developed with the fine balance among power conversion efficiency, visible light transparency and infrared photon radiation rejection. Finally, long-range ordered bulk-heterojunctions of organic semiconductors had been achieved,and their superior optoelectronic properties and potential application in photoelectric conversion had been revealed. The related work progresses are reviewed in this paper.
基金support provided by the National Key Research and Development Program of China (Grant No.2018YFA0703000)the National Natural Science Foundation of China (Grant Nos.52075482,12125205,12072316,and 51973189)the Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study (Grant No.SN-ZJU-SIAS-004).
文摘Liquid metal is an ideal conductive material for soft electronics because of its high conductivity and fluidity at room temperature.However,the large surface tension and high mass density of liquid metal make forming three-dimensional(3D)dangling structures a challenging task.Reported here is a suspension printing strategy for direct deposition of galinstan-based liquid metal into 3D dangling structures with high shape fidelity and spatial resolution(~150μm).Acrylamide/nanoclay suspension served as a yieldstress fluid support bath,with selected hydrogen peroxide to immediately oxidize the gallium skin and strengthen the extruded liquid metal,thus continuous liquid metal filaments were deposited successfully.The subsequent photo-curing of acrylamide/nanoclay works as a resilient outer packaging,giving rise to a~500%tensile deformation for liquid metal-hydrogel composite.This suspension printing strategy should broaden the opportunity of using 3D and functional liquid metal constructs for soft yet resilient electromagnetic devices.
