The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is...The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is profoundly influenced by nanoscale factors,including interface properties and material characteristics,highlighting the critical need for a comprehensive understanding of these parameters to unlock their full potential.This paper summarizes the recent advances in advanced fiber composite TENGs(FC-TENGs),especially electrospun nanofibers,with a focus on key nanoscale properties,covering triboelectric layer interface characteristics,dielectric constant,electron affinity,and crystal phase,all of which are fundamental to optimizing their output performance.Additionally,it explores emerging applications of FC-TENGs in wearable electronics,self-powered sensors,wireless communication systems,human-machine interfaces,and modern healthcare technologies.The review concludes by addressing existing challenges,evaluating future opportunities,and outlining research directions for advancing FC-TENGs.By bridging foundational material science with innovative applications,this review seeks to inspire the development of high-performance,self-powered electrospun composite tribovoltaic nanogenerators,paving the way for a wireless,artificial intelligence(AI)-enabled IoT era.展开更多
Bio-based 2,5-furandicarboxylic acid polyesters offer significant promise for reducing energy and environmental crises.However,their intrinsic flammability remains a critical limitation,and conventional flame-retardan...Bio-based 2,5-furandicarboxylic acid polyesters offer significant promise for reducing energy and environmental crises.However,their intrinsic flammability remains a critical limitation,and conventional flame-retardant strategies often compromise their mechanical properties,hindering their practical applications.Herein,a 9,10-dihydro-9-oxa-10-phosphaphenanthrene-10-oxide(DOPO)-based comonomer(DDP)was used to synthesize flame-retardant poly(ethylene furandicarboxylate-co-phosphaphenanthrene)(PEFDn).The covalent integration of DDP confers intrinsic flame retardancy,avoiding the plasticization and migration issues associated with additive-type systems.Upon thermal decomposition,the DOPO-derived moieties release phosphoric acid and radical scavengers,promoting char formation and suppressing flame propagation.Furthermore,density functional theory(DFT)calculations combined with non-covalent interaction(NCI)analysis revealed that DOPO dimer molecules adopt a stable parallel-displaced π-π stacking configu ration,potentially facilitating microphase separation and enhancing the energy dissipation capability.PEFD_(10)achieves a UL-94 V-0 rating while simultaneously increasing impact toughness from 1.5 kJ/m^(2) to 14.7 kJ/m^(2).Im portantly,PEFDn maintained acceptable oxygen-barrier properties.PEFD10 also exhibited high transparency and UV-shielding performance.The combination of intrinsic flame safety,im pact-toughness resistance,UV shielding,and an oxygen barrier ensures reliable protection of electrical components and long-term operational stability.The integration of multiple critical properties within a single bio-based material represents a novel approach fo r enabling sustainable polymer solutions for high-pe rformance electrical applications.展开更多
Electrocatalytic CO_(2) reduction(CO_(2) RR)toward multi-carbon compounds is a challenging but meaningful route for carbon cycling.Copper-based catalysts are the most promising candidate for C_(2+)generation due to th...Electrocatalytic CO_(2) reduction(CO_(2) RR)toward multi-carbon compounds is a challenging but meaningful route for carbon cycling.Copper-based catalysts are the most promising candidate for C_(2+)generation due to their unique C–C coupling activity,yet the in situ reduction from Cu^(+) to Cu^(0) under cathodic potentials causes the catalyst deactivation.Herein,we develop a transient thermal shock strategy to embed Cu^(+) species into CeO_(2) lattices,constructing a CuO_(x)/CuCeO_(x)catalyst with a radial gradient Cu^(+) -Ov-Ce^(3+)/Ce^(4+)structure.Depth-profiling X-ray photoelectron spectroscopy(XPS)and density functional theory(DFT)calculations reveal that mismatched metal/oxygen diffusion kinetics drive continuous electron transfer from surface Cu^(+) to bulk Ce^(3+)/Ce^(4+)via oxygen vacancies(Ov),forming a dynamic“self-sacrificial”structure to preserve surface Cu^(+) states.In CO_(2)-saturated 0.1 M KHCO_(3),the optimized CuO_(x)/CuCeO_(x)-10 achieves a high C_(2) Faradaic efficiency(FE)of 85.8%at-1.4 V vs.RHE.In situ attenuated total reflection surface-enhanced infrared adsorption spectroscopy(ATR-SEIRAS)identifies the key intermediates of C_(2) are*OCCO and*OCCOH,while DFT reveals a drastic reduction of C–C coupling barrier from 0.842 to0.274 eV.This work demonstrates kinetically tailored metal-support interactions,enabling oxidationstate control for pathway-selective catalysis.展开更多
Thermoplastic poly(ether-ester-urethane)s were synthesized from poly(L-lactide) diols (PLLA diols), polytetrahydrofuran diol (PTMG diols), 4,4'-dicyclohexylmethane diisocyanate (HMDI), and 1,4-butanediol (BDO) by ...Thermoplastic poly(ether-ester-urethane)s were synthesized from poly(L-lactide) diols (PLLA diols), polytetrahydrofuran diol (PTMG diols), 4,4'-dicyclohexylmethane diisocyanate (HMDI), and 1,4-butanediol (BDO) by a two-step reaction, and the morphology and property of the resultant TPU could be adjusted by varying the PLLA contents. The soft segment was composed of PLLA and PTMG diols. By controlling the percentage of PLLA in the soft segment, the glass transition temperature and mechanical properties of the polyurethanes could be regulated. Based on the FTIR spectrum, we found that two kinds of hydrogen bonding existed individually in soft matrix and hard domain. The hydrogen bonding in soft matrix was unstable, which could be destroyed during elongation. With in situ stretching WAXS and SAXS experiments, we found that the PLLA crystal was destroyed and the PLLA domain oriented along the stretch direction. Finally, we proposed a schematic model to illustrate the microstructures of these elastomers before and after stretch.展开更多
In Beyond the Fifth Generation(B5G)heterogeneous edge networks,numerous users are multiplexed on a channel or served on the same frequency resource block,in which case the transmitter applies coding and the receiver u...In Beyond the Fifth Generation(B5G)heterogeneous edge networks,numerous users are multiplexed on a channel or served on the same frequency resource block,in which case the transmitter applies coding and the receiver uses interference cancellation.Unfortunately,uncoordinated radio resource allocation can reduce system throughput and lead to user inequity,for this reason,in this paper,channel allocation and power allocation problems are formulated to maximize the system sum rate and minimum user achievable rate.Since the construction model is non-convex and the response variables are high-dimensional,a distributed Deep Reinforcement Learning(DRL)framework called distributed Proximal Policy Optimization(PPO)is proposed to allocate or assign resources.Specifically,several simulated agents are trained in a heterogeneous environment to find robust behaviors that perform well in channel assignment and power allocation.Moreover,agents in the collection stage slow down,which hinders the learning of other agents.Therefore,a preemption strategy is further proposed in this paper to optimize the distributed PPO,form DP-PPO and successfully mitigate the straggler problem.The experimental results show that our mechanism named DP-PPO improves the performance over other DRL methods.展开更多
基金financially supported by the National Natural Science Foundation of China(52127811,51975120)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX25_0096)。
文摘The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is profoundly influenced by nanoscale factors,including interface properties and material characteristics,highlighting the critical need for a comprehensive understanding of these parameters to unlock their full potential.This paper summarizes the recent advances in advanced fiber composite TENGs(FC-TENGs),especially electrospun nanofibers,with a focus on key nanoscale properties,covering triboelectric layer interface characteristics,dielectric constant,electron affinity,and crystal phase,all of which are fundamental to optimizing their output performance.Additionally,it explores emerging applications of FC-TENGs in wearable electronics,self-powered sensors,wireless communication systems,human-machine interfaces,and modern healthcare technologies.The review concludes by addressing existing challenges,evaluating future opportunities,and outlining research directions for advancing FC-TENGs.By bridging foundational material science with innovative applications,this review seeks to inspire the development of high-performance,self-powered electrospun composite tribovoltaic nanogenerators,paving the way for a wireless,artificial intelligence(AI)-enabled IoT era.
基金financially supported by the National Key Research and Development Program of China(No.2021YFB3700300)the National Natural Science Foundation of China(Nos.52573017 and U21B2093)+1 种基金Key Research and Development Program of Ningbo(No.2022Z200)the Zhejiang Provincial Natural Science Foundation(No.LY23E030005)。
文摘Bio-based 2,5-furandicarboxylic acid polyesters offer significant promise for reducing energy and environmental crises.However,their intrinsic flammability remains a critical limitation,and conventional flame-retardant strategies often compromise their mechanical properties,hindering their practical applications.Herein,a 9,10-dihydro-9-oxa-10-phosphaphenanthrene-10-oxide(DOPO)-based comonomer(DDP)was used to synthesize flame-retardant poly(ethylene furandicarboxylate-co-phosphaphenanthrene)(PEFDn).The covalent integration of DDP confers intrinsic flame retardancy,avoiding the plasticization and migration issues associated with additive-type systems.Upon thermal decomposition,the DOPO-derived moieties release phosphoric acid and radical scavengers,promoting char formation and suppressing flame propagation.Furthermore,density functional theory(DFT)calculations combined with non-covalent interaction(NCI)analysis revealed that DOPO dimer molecules adopt a stable parallel-displaced π-π stacking configu ration,potentially facilitating microphase separation and enhancing the energy dissipation capability.PEFD_(10)achieves a UL-94 V-0 rating while simultaneously increasing impact toughness from 1.5 kJ/m^(2) to 14.7 kJ/m^(2).Im portantly,PEFDn maintained acceptable oxygen-barrier properties.PEFD10 also exhibited high transparency and UV-shielding performance.The combination of intrinsic flame safety,im pact-toughness resistance,UV shielding,and an oxygen barrier ensures reliable protection of electrical components and long-term operational stability.The integration of multiple critical properties within a single bio-based material represents a novel approach fo r enabling sustainable polymer solutions for high-pe rformance electrical applications.
基金financially supported by the National Natural Science Foundation of China(22378428,22138013)the National Key Research and Development Program of China(2023YFB4104500,2023YFB4104503)+1 种基金the Key Research and Development Program of Shandong Province(2024ZLGX08)the Science and Technology Innovation Project of the Shandong Energy Group Co.,Ltd.(SNKJ2023A03)。
文摘Electrocatalytic CO_(2) reduction(CO_(2) RR)toward multi-carbon compounds is a challenging but meaningful route for carbon cycling.Copper-based catalysts are the most promising candidate for C_(2+)generation due to their unique C–C coupling activity,yet the in situ reduction from Cu^(+) to Cu^(0) under cathodic potentials causes the catalyst deactivation.Herein,we develop a transient thermal shock strategy to embed Cu^(+) species into CeO_(2) lattices,constructing a CuO_(x)/CuCeO_(x)catalyst with a radial gradient Cu^(+) -Ov-Ce^(3+)/Ce^(4+)structure.Depth-profiling X-ray photoelectron spectroscopy(XPS)and density functional theory(DFT)calculations reveal that mismatched metal/oxygen diffusion kinetics drive continuous electron transfer from surface Cu^(+) to bulk Ce^(3+)/Ce^(4+)via oxygen vacancies(Ov),forming a dynamic“self-sacrificial”structure to preserve surface Cu^(+) states.In CO_(2)-saturated 0.1 M KHCO_(3),the optimized CuO_(x)/CuCeO_(x)-10 achieves a high C_(2) Faradaic efficiency(FE)of 85.8%at-1.4 V vs.RHE.In situ attenuated total reflection surface-enhanced infrared adsorption spectroscopy(ATR-SEIRAS)identifies the key intermediates of C_(2) are*OCCO and*OCCOH,while DFT reveals a drastic reduction of C–C coupling barrier from 0.842 to0.274 eV.This work demonstrates kinetically tailored metal-support interactions,enabling oxidationstate control for pathway-selective catalysis.
基金financially supported by the National Key Research and Development Program of China (No. 2017YFB0309300)the National Natural Science Foundation of China (No. 51773218)+1 种基金Youth Innovation Promotion Association of CAS (No. 2018338)Ningbo Natural Science Foundation (No.2018A610109)
文摘Thermoplastic poly(ether-ester-urethane)s were synthesized from poly(L-lactide) diols (PLLA diols), polytetrahydrofuran diol (PTMG diols), 4,4'-dicyclohexylmethane diisocyanate (HMDI), and 1,4-butanediol (BDO) by a two-step reaction, and the morphology and property of the resultant TPU could be adjusted by varying the PLLA contents. The soft segment was composed of PLLA and PTMG diols. By controlling the percentage of PLLA in the soft segment, the glass transition temperature and mechanical properties of the polyurethanes could be regulated. Based on the FTIR spectrum, we found that two kinds of hydrogen bonding existed individually in soft matrix and hard domain. The hydrogen bonding in soft matrix was unstable, which could be destroyed during elongation. With in situ stretching WAXS and SAXS experiments, we found that the PLLA crystal was destroyed and the PLLA domain oriented along the stretch direction. Finally, we proposed a schematic model to illustrate the microstructures of these elastomers before and after stretch.
基金supported by the Key Research and Development Program of China(No.2022YFC3005401)Key Research and Development Program of China,Yunnan Province(No.202203AA080009,202202AF080003)Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX21_0482).
文摘In Beyond the Fifth Generation(B5G)heterogeneous edge networks,numerous users are multiplexed on a channel or served on the same frequency resource block,in which case the transmitter applies coding and the receiver uses interference cancellation.Unfortunately,uncoordinated radio resource allocation can reduce system throughput and lead to user inequity,for this reason,in this paper,channel allocation and power allocation problems are formulated to maximize the system sum rate and minimum user achievable rate.Since the construction model is non-convex and the response variables are high-dimensional,a distributed Deep Reinforcement Learning(DRL)framework called distributed Proximal Policy Optimization(PPO)is proposed to allocate or assign resources.Specifically,several simulated agents are trained in a heterogeneous environment to find robust behaviors that perform well in channel assignment and power allocation.Moreover,agents in the collection stage slow down,which hinders the learning of other agents.Therefore,a preemption strategy is further proposed in this paper to optimize the distributed PPO,form DP-PPO and successfully mitigate the straggler problem.The experimental results show that our mechanism named DP-PPO improves the performance over other DRL methods.
