Terahertz(THz)metamaterials,with their exceptional ability to precisely manipulate the phase,amplitude,polarization and orbital angular momentum(OAM)of electromagnetic waves,have demonstrated significant application p...Terahertz(THz)metamaterials,with their exceptional ability to precisely manipulate the phase,amplitude,polarization and orbital angular momentum(OAM)of electromagnetic waves,have demonstrated significant application potential across a wide range of fields.However,traditional design methodologies often rely on extensive parameter sweeps,making it challenging to address the increasingly complex and diverse application requirements.Recently,the integration of artificial intelligence(AI)techniques,particularly deep learning and optimization algorithms,has introduced new approaches for the design of THz metamaterials.This paper reviews the fundamental principles of THz metamaterials and their intelligent design methodologies,with a particular focus on the advancements in AI-driven inverse design of THz metamaterials.The AI-driven inverse design process allows for the creation of THz metamaterials with desired properties by working backward from the unit structures and array configurations of THz metamaterials,thereby accelerating the design process and reducing both computational resources and time.It examines the critical role of AI in improving both the functionality and design efficiency of THz metamaterials.Finally,we outline future research directions and technological challenges,with the goal of providing valuable insights and guidance for ongoing and future investigations.展开更多
Polymer fiber filters play a vital role in removing particulate matter(PM),reducing environmental risk factors and cardiovascular diseases.However,the contradiction between high filtration efficiency and low airflow r...Polymer fiber filters play a vital role in removing particulate matter(PM),reducing environmental risk factors and cardiovascular diseases.However,the contradiction between high filtration efficiency and low airflow resistance limits the filtration performance of polymer filters,while exacerbating the microplastic contamination.Herein,we proposed an interface polarization strategy to fabricate a biodegradable fiber membrane with a high relative dielectric constant to filter the PM in a high-efficiency and low-resistance way.The membrane was constructed by silk fibroin(SF)and wool fiber membrane(Wool),where the SF bonded on the wool surface to form a crosslinked network.Specifically,polar groups(-NH_(2)/-OH)on SF form a dynamic hydrogen-bonding network with airborne water molecules,enhancing the interface polarization and elevating the relative dielectric constant to 8.4.Based on this high dielectric constant,Wool loaded with 20 mg of SF(SF@Wool)reaches PM_(0.3)filtration efficiency of 99.69%,with air resistance of 8 Pa.Meanwhile,SF@Wool exhibits filtration efficiency decay of less than 0.5%over 30 d,demonstrating excellent long-term stability.Furthermore,the biodegradable properties of SF@Wool effectively prevent microplastic pollution(it can be completely degraded in soil within 14 d after treatment with alkaline solution).展开更多
Lithium ion batteries(LIBs)are widely used in electric vehicles and portable electronic devices due to their high energy density,long cycling life,and low cost[1].With the rapid commercialization of LIBs,the growing d...Lithium ion batteries(LIBs)are widely used in electric vehicles and portable electronic devices due to their high energy density,long cycling life,and low cost[1].With the rapid commercialization of LIBs,the growing demand for the lithium source will cause the shortage of lithium supply[2-4].The commercial lithium salts mainly come from the onshore resources(ores and salt lakes)[4].展开更多
基金supported by the National Key R and D Program of China(No.2022YFF0604801)the National Natural Science Foundation of China(Nos.62271056,62171186,62201037)+3 种基金the Technology Innovation Center of Infrared Remote Sensing Metrology Technology of State Administration for Market Regulation(No.AKYKF2423)the Beijing Natural Science Foundation of China-Haidian Original Innovation Joint Fund(No.L222042)the Open Research Fund of State Key Laboratory of Millimeter Waves(No.K202326)the 111 Project of China(No.B14010).
文摘Terahertz(THz)metamaterials,with their exceptional ability to precisely manipulate the phase,amplitude,polarization and orbital angular momentum(OAM)of electromagnetic waves,have demonstrated significant application potential across a wide range of fields.However,traditional design methodologies often rely on extensive parameter sweeps,making it challenging to address the increasingly complex and diverse application requirements.Recently,the integration of artificial intelligence(AI)techniques,particularly deep learning and optimization algorithms,has introduced new approaches for the design of THz metamaterials.This paper reviews the fundamental principles of THz metamaterials and their intelligent design methodologies,with a particular focus on the advancements in AI-driven inverse design of THz metamaterials.The AI-driven inverse design process allows for the creation of THz metamaterials with desired properties by working backward from the unit structures and array configurations of THz metamaterials,thereby accelerating the design process and reducing both computational resources and time.It examines the critical role of AI in improving both the functionality and design efficiency of THz metamaterials.Finally,we outline future research directions and technological challenges,with the goal of providing valuable insights and guidance for ongoing and future investigations.
基金Fundamental Research Funds for the Central Universities(2232025A-05)National Key Research and Development Program of China(2022YFB3803502)+2 种基金National Natural Science Foundation of China(42442040,52408122)International Cooperation Fund of the Science and Technology Commission of Shanghai Municipality(24520713300)Interdisciplinary Frontier Innovation Team Development Special Fund of Donghua University,and Shanghai Rising-Star Program(24QA2700100).
文摘Polymer fiber filters play a vital role in removing particulate matter(PM),reducing environmental risk factors and cardiovascular diseases.However,the contradiction between high filtration efficiency and low airflow resistance limits the filtration performance of polymer filters,while exacerbating the microplastic contamination.Herein,we proposed an interface polarization strategy to fabricate a biodegradable fiber membrane with a high relative dielectric constant to filter the PM in a high-efficiency and low-resistance way.The membrane was constructed by silk fibroin(SF)and wool fiber membrane(Wool),where the SF bonded on the wool surface to form a crosslinked network.Specifically,polar groups(-NH_(2)/-OH)on SF form a dynamic hydrogen-bonding network with airborne water molecules,enhancing the interface polarization and elevating the relative dielectric constant to 8.4.Based on this high dielectric constant,Wool loaded with 20 mg of SF(SF@Wool)reaches PM_(0.3)filtration efficiency of 99.69%,with air resistance of 8 Pa.Meanwhile,SF@Wool exhibits filtration efficiency decay of less than 0.5%over 30 d,demonstrating excellent long-term stability.Furthermore,the biodegradable properties of SF@Wool effectively prevent microplastic pollution(it can be completely degraded in soil within 14 d after treatment with alkaline solution).
基金We acknowledge support by National Key Research and Development Program of China(2022YFB3803502)National Natural Science Foundation of China(52103076)+1 种基金the Science and Technology Commission of Shanghai Municipality(20JC1414900)State Key Laboratory of Electrical Insulation and Power Equipment(EIPE22203).
文摘Lithium ion batteries(LIBs)are widely used in electric vehicles and portable electronic devices due to their high energy density,long cycling life,and low cost[1].With the rapid commercialization of LIBs,the growing demand for the lithium source will cause the shortage of lithium supply[2-4].The commercial lithium salts mainly come from the onshore resources(ores and salt lakes)[4].
