Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent,wearable interactive devices.However,significant challenge...Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent,wearable interactive devices.However,significant challenges remain in developing fiber devices when it comes to achieving uniform and customizable light effects while utilizing lightweight hardware.Here,we introduce a mass-produced,wearable,and interactive photochromic fiber that provides uniform multicolored light control.We designed independent waveguides inside the fiber to maintain total internal reflection of light as it traverses the fiber.The impact of excessive light leakage on the overall illuminance can be reduced by utilizing the saturable absorption effect of fluorescent materials to ensure light emission uniformity along the transmission direction.In addition,we coupled various fluorescent composite materials inside the fiber to achieve artificially controllable spectral radiation of multiple color systems in a single fiber.We prepared fibers on mass-produced kilometer-long using the thermal drawing method.The fibers can be directly integrated into daily wearable devices or clothing in various patterns and combined with other signal input components to control and display patterns as needed.This work provides a new perspective and inspiration to the existing field of fiber display interaction,paving the way for future human–machine integration.展开更多
With the advent of the Internet of Everything,people can easily interact with their environments immersively.The idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based...With the advent of the Internet of Everything,people can easily interact with their environments immersively.The idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction,it is difficult to ensure comfort,esthetics,and privacy in smart spaces.Motivated by the rapid developments in intelligent fabric technology in the post-Moore era,we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living spaces.We discuss the core notion and benefits of fabric computing,including its implementation,challenges,and future research opportunities.展开更多
As an important part of Traditional Chinese Medicine,acupuncture has the history of several thousand years in China and has been widely applied and accepted in clinical practice llover the world.Modern randomized clin...As an important part of Traditional Chinese Medicine,acupuncture has the history of several thousand years in China and has been widely applied and accepted in clinical practice llover the world.Modern randomized clinical rials have demonstrated the effectiveness of acupuncture in treating a range of ailments,including gastrointestinal disorders and stress urinary incontinence[1,2].展开更多
The success of topological band theory and symmetry-based topological classification significantly advances our understanding of the Berry phase.Based on the critical concept of topological obstruction,efficient theor...The success of topological band theory and symmetry-based topological classification significantly advances our understanding of the Berry phase.Based on the critical concept of topological obstruction,efficient theoretical frameworks,including topological quantum chemistry and symmetry indicator theory,were developed,making a massive characterization of real materials possible.However,the classification of magnetic materials often involves the complexity of their unknown magnetic structures,which are often hard to know from experiments,thus,hindering the topological classification.In this paper,we design a high-throughput workflow to classify magnetic topological materials by automating the search for collinear magnetic structures and the characterization of their topological natures.We computed 1049 chosen transition-metal compounds(TMCs)without oxygen and identified 64 topological insulators and 53 semimetals,which become 73 and 26 when U correction is further considered.Due to the lack of magnetic structure information from experiments,our high-throughput predictions provide insightful reference results and make the step toward a complete diagnosis of magnetic topological materials.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.62175082)the National Key Research and Development Program of China(Grant No.2022YFB3805800)the Multidisciplinary Research Support Program of Huazhong University of Science and Technology(Grant No.2023JCYJ039).
文摘Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent,wearable interactive devices.However,significant challenges remain in developing fiber devices when it comes to achieving uniform and customizable light effects while utilizing lightweight hardware.Here,we introduce a mass-produced,wearable,and interactive photochromic fiber that provides uniform multicolored light control.We designed independent waveguides inside the fiber to maintain total internal reflection of light as it traverses the fiber.The impact of excessive light leakage on the overall illuminance can be reduced by utilizing the saturable absorption effect of fluorescent materials to ensure light emission uniformity along the transmission direction.In addition,we coupled various fluorescent composite materials inside the fiber to achieve artificially controllable spectral radiation of multiple color systems in a single fiber.We prepared fibers on mass-produced kilometer-long using the thermal drawing method.The fibers can be directly integrated into daily wearable devices or clothing in various patterns and combined with other signal input components to control and display patterns as needed.This work provides a new perspective and inspiration to the existing field of fiber display interaction,paving the way for future human–machine integration.
基金support fromtheNational Natural Science Foundation of China(grant no.62276109).I.H.acknowledges the financial support from the Slovenian Research Agency(research core funding no.P2-0246).
文摘With the advent of the Internet of Everything,people can easily interact with their environments immersively.The idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction,it is difficult to ensure comfort,esthetics,and privacy in smart spaces.Motivated by the rapid developments in intelligent fabric technology in the post-Moore era,we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living spaces.We discuss the core notion and benefits of fabric computing,including its implementation,challenges,and future research opportunities.
基金This Research Highlight was supported by National Natural Science Foundation of China(82102938)Zhejiang Public Welfare Technology Application Research Project(LGF19H080006,LGF21H010008,and LGF20H080005)+1 种基金Medical and Health Science and Technology Project of Zhejiang Province(2021KY842,2021KY483,2021KY077,2022KY503,2022KY046,2022KY236,and 2022KY074)Outstanding Youth Foundation of Zhejiang Provincial People's Hospital(ZRY2020B001).
文摘As an important part of Traditional Chinese Medicine,acupuncture has the history of several thousand years in China and has been widely applied and accepted in clinical practice llover the world.Modern randomized clinical rials have demonstrated the effectiveness of acupuncture in treating a range of ailments,including gastrointestinal disorders and stress urinary incontinence[1,2].
基金This work is supported by the Shanghai Technology Innovation Action Plan 2020-Integrated Circuit Technology Support Program(Project No.20DZ1100605)the National Natural Science Foundation of China under Grant No.11874263,Sino-German mobility program(M-0006)+1 种基金the National Key R&D Program of China(2017YFE0131300)W.S.wants to thank the financial support of the Science and Technology Commission of Shanghai Municipality(STCSM)(Grant No.22ZR1441800),Shanghai-XFEL Beamline Project(SBP)(31011505505885920161A2101001)。
文摘The success of topological band theory and symmetry-based topological classification significantly advances our understanding of the Berry phase.Based on the critical concept of topological obstruction,efficient theoretical frameworks,including topological quantum chemistry and symmetry indicator theory,were developed,making a massive characterization of real materials possible.However,the classification of magnetic materials often involves the complexity of their unknown magnetic structures,which are often hard to know from experiments,thus,hindering the topological classification.In this paper,we design a high-throughput workflow to classify magnetic topological materials by automating the search for collinear magnetic structures and the characterization of their topological natures.We computed 1049 chosen transition-metal compounds(TMCs)without oxygen and identified 64 topological insulators and 53 semimetals,which become 73 and 26 when U correction is further considered.Due to the lack of magnetic structure information from experiments,our high-throughput predictions provide insightful reference results and make the step toward a complete diagnosis of magnetic topological materials.