Artificial intelligence(AI) is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologie...Artificial intelligence(AI) is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.展开更多
Artificial intelligence(AI)is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies...Artificial intelligence(AI)is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.展开更多
Artificial intelligence(AI)is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies...Artificial intelligence(AI)is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.展开更多
Artificial intelligence (AI) is almo st everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technolog...Artificial intelligence (AI) is almo st everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.Journal of Automation and Intelligence (JAI) aims to provide a platform for researchers and practitioners from both academia and industry to exchange their ideas and present new developments across multiple disciplines relevant to automation and artificial intelligence with particular attention to machine learning.展开更多
Altermagnets,a class of unconventional antiferromagnets with non-relativistic spin-splitting,offer promising potential for antiferromagnetic spintronic devices.While many altermagnets are limited by either low magneti...Altermagnets,a class of unconventional antiferromagnets with non-relativistic spin-splitting,offer promising potential for antiferromagnetic spintronic devices.While many altermagnets are limited by either low magnetic transition temperatures or weak spin splitting,the recently discovered metal CrSb,with high N′eel temperature(T_(N)=710 K)and significant spin-splitting due to its unique spin space group,provides a robust platform for remarkable tunneling magnetoresistance(TMR)in collinear all-antiferromagnetic tunnel junctions(AATJs).This study systematically investigates the spin-polarized Fermi surface of CrSb and spin-dependent electron transport in CrSb-based AATJs.The CrSb/β-InSe/CrSb junction with a three-monolayer InSe barrier exhibits a TMR ratio of approximately 290%,with energy-dependent analysis revealing TMR ratios that may exceed 850%when considering the shift of the Fermi energy.We also demonstrate the angle-dependent TMR of CrSb-based AATJs by adjusting N′eel vector orientations.Our findings might provide strong theoretical support for CrSb as a versatile building block for all-antiferromagnetic memory devices.展开更多
Both direct formic acid fuel cells(DFAFCs)and direct methanol fuel cells(DMFCs)are promising powergeneration technologies for various electronic devices,while their large-scale commercial applications are largely prec...Both direct formic acid fuel cells(DFAFCs)and direct methanol fuel cells(DMFCs)are promising powergeneration technologies for various electronic devices,while their large-scale commercial applications are largely precluded by the lack of advanced noble metal catalysts with high activity and acceptable cost.Herein,we report a simple and scalable strategy to prepare nanosized Pd crystals anchored on threedimensional(3D)boron-and nitrogen-codoped graphene aerogels(Pd/BNG)as multifunctional electrocatalysts for formic acid and methanol oxidation reactions.展开更多
Manipulations of hysteretic magnetism–dielectricity switching in molecular materials are essential for future switching and memory devices.While examples showing simultaneous and wide hysteretic magnetism–dielectric...Manipulations of hysteretic magnetism–dielectricity switching in molecular materials are essential for future switching and memory devices.While examples showing simultaneous and wide hysteretic magnetism–dielectricity transitions are still rare,in this work,we present two 2D Hofmann type compounds{Fe(3,4-bpt)_(2)[M(CN)_(4)]}(3,4-bpt=3,4-bis(4-pyridyl)thiophene;M=Pt(1),Pd(2))showing reversible switching in magnetism,dielectricity,and thermochromism actuated by the spin transition of Fe(II).Magnetic susceptibility measurement analyses unveiled that 1 and 2 experienced a thermo-induced spin state transition characterized by a thermal hysteresis of 20 K.Their dielectric properties show good consistency with magnetic properties,revealing a well-defined bistable state within the same temperature range of 100 to 220 K for 1 and 2.Both of them exhibited a 20 K-wide hysteresis in temperature-dependent permittivity and magnetization profiles.This simultaneous magnetism–dielectricity switching was demonstrated by variable-temperature X-ray diffraction studies,showing that the key crystallographic parameters underwent hysteretic transitions in the same temperature range.Detailed structural analyses revealed that the intermolecular interactions between the thiophene ring of 3,4-bpt and the terminal nitrogen atom of the cyanide for 1 and 2 displayed prominent cooperativity during the spin crossover process.The X-ray structural analyses revealed that the variations in the Fe(II)coordination sphere result in changes in the local electric dipoles for the asymmetry between the HT phase and the LT phase,contributing to the dielectric transition.Moreover,1 and 2 displayed high sensitivity to external light irradiation,which can be reversibly switched between HS and LS states under alternating irradiation with lasers at 532 and 808 nm.These results demonstrate that 1 and 2 provide a new platform for multi-channel switches actuated by the spin crossover of Fe^(Ⅱ).展开更多
文摘Artificial intelligence(AI) is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.
文摘Artificial intelligence(AI)is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.
文摘Artificial intelligence(AI)is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.
文摘Artificial intelligence (AI) is almo st everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.Journal of Automation and Intelligence (JAI) aims to provide a platform for researchers and practitioners from both academia and industry to exchange their ideas and present new developments across multiple disciplines relevant to automation and artificial intelligence with particular attention to machine learning.
基金supported by the National Natural Science Foundation of China(Grant Nos.T2394475,T2394470,T2394471,and 12174129)the China Postdoctoral Science Foundation(Grant No.2023M741269).
文摘Altermagnets,a class of unconventional antiferromagnets with non-relativistic spin-splitting,offer promising potential for antiferromagnetic spintronic devices.While many altermagnets are limited by either low magnetic transition temperatures or weak spin splitting,the recently discovered metal CrSb,with high N′eel temperature(T_(N)=710 K)and significant spin-splitting due to its unique spin space group,provides a robust platform for remarkable tunneling magnetoresistance(TMR)in collinear all-antiferromagnetic tunnel junctions(AATJs).This study systematically investigates the spin-polarized Fermi surface of CrSb and spin-dependent electron transport in CrSb-based AATJs.The CrSb/β-InSe/CrSb junction with a three-monolayer InSe barrier exhibits a TMR ratio of approximately 290%,with energy-dependent analysis revealing TMR ratios that may exceed 850%when considering the shift of the Fermi energy.We also demonstrate the angle-dependent TMR of CrSb-based AATJs by adjusting N′eel vector orientations.Our findings might provide strong theoretical support for CrSb as a versatile building block for all-antiferromagnetic memory devices.
基金supported by the National Natural Science Foundation of China(51802077)the Fundamental Research Funds for the Central Universities(2019B16214)+1 种基金China Postdoct4oral Science Foundation(No.2015M580387 and 2016T90414)Jiangsu Planned Projects for Postdoctoral Research Funds(No.1601026A).
文摘Both direct formic acid fuel cells(DFAFCs)and direct methanol fuel cells(DMFCs)are promising powergeneration technologies for various electronic devices,while their large-scale commercial applications are largely precluded by the lack of advanced noble metal catalysts with high activity and acceptable cost.Herein,we report a simple and scalable strategy to prepare nanosized Pd crystals anchored on threedimensional(3D)boron-and nitrogen-codoped graphene aerogels(Pd/BNG)as multifunctional electrocatalysts for formic acid and methanol oxidation reactions.
基金supported by the National Natural Science Foundation of China(Grants 22222103,22025101,22173015,21801037,21871039,22103009,91961114 and 22301260)the Fundamental Research Funds for the Central Universities(DUT22LAB606)the Doctoral Research Startup Foundation of Liaocheng University,China(Grant 318052321).
文摘Manipulations of hysteretic magnetism–dielectricity switching in molecular materials are essential for future switching and memory devices.While examples showing simultaneous and wide hysteretic magnetism–dielectricity transitions are still rare,in this work,we present two 2D Hofmann type compounds{Fe(3,4-bpt)_(2)[M(CN)_(4)]}(3,4-bpt=3,4-bis(4-pyridyl)thiophene;M=Pt(1),Pd(2))showing reversible switching in magnetism,dielectricity,and thermochromism actuated by the spin transition of Fe(II).Magnetic susceptibility measurement analyses unveiled that 1 and 2 experienced a thermo-induced spin state transition characterized by a thermal hysteresis of 20 K.Their dielectric properties show good consistency with magnetic properties,revealing a well-defined bistable state within the same temperature range of 100 to 220 K for 1 and 2.Both of them exhibited a 20 K-wide hysteresis in temperature-dependent permittivity and magnetization profiles.This simultaneous magnetism–dielectricity switching was demonstrated by variable-temperature X-ray diffraction studies,showing that the key crystallographic parameters underwent hysteretic transitions in the same temperature range.Detailed structural analyses revealed that the intermolecular interactions between the thiophene ring of 3,4-bpt and the terminal nitrogen atom of the cyanide for 1 and 2 displayed prominent cooperativity during the spin crossover process.The X-ray structural analyses revealed that the variations in the Fe(II)coordination sphere result in changes in the local electric dipoles for the asymmetry between the HT phase and the LT phase,contributing to the dielectric transition.Moreover,1 and 2 displayed high sensitivity to external light irradiation,which can be reversibly switched between HS and LS states under alternating irradiation with lasers at 532 and 808 nm.These results demonstrate that 1 and 2 provide a new platform for multi-channel switches actuated by the spin crossover of Fe^(Ⅱ).
