To address the challenge that plasticity and strength cannot be synergistically enhanced in 30CrMnSiNi_(2)A fabricated by laser additive manufacturing,high performance samples were fabricated by laser powder bed fusio...To address the challenge that plasticity and strength cannot be synergistically enhanced in 30CrMnSiNi_(2)A fabricated by laser additive manufacturing,high performance samples were fabricated by laser powder bed fusion(LPBF)using the transformation-induced plasticity(TRIP)effect in this study.The optimization of the volumetric energy density(VED)resulted in an increase of the residual austenite(RA)content from 5.5%to 12.7%.Meanwhile,the martensite/austenite(M/A)island content was increased from 10.35%to 39.05%,and the morphology was transitioned from blocky to filmy structure.The phase transition during cooling triggered a competition between pre-martensite and bainite,which reduced the average grain size of the sample to 1.58μm.In addition,the elevated VED promoted the formation of fine carbides during the decomposition of M/A islands,triggering the Orowan effect,which effectively hindered dislocation motion.These microstructural enhancements obtained excellent tensile strength(1566±5.9 MPa)and elongation(14.7%±0.8%).The fracture morphology exhibited a combination of transgranular quasi-cleavage and ductile dimple fractures,indicating a balanced plasticity-strength synergy.This work demonstrates the potential of LPBF for manufacturing 30CrMnSiNi_(2)A components with intricate designs and superior mechanical properties.展开更多
Magnesium hydride(MgH_(2)),a promising high-capacity hydrogen storage material,is hindered by slow dehydrogenation kinetics.AIdriven catalyst discovery to address this is often hampered by the laborious extraction of ...Magnesium hydride(MgH_(2)),a promising high-capacity hydrogen storage material,is hindered by slow dehydrogenation kinetics.AIdriven catalyst discovery to address this is often hampered by the laborious extraction of data from unstructured literature.To overcome this,we introduce a transformative“LLM to Agent”framework that synergistically integrates Large Language Models(LLMs)for automated data curation with Machine Learning(ML)for predictive design.We automatically constructed a comprehensive database of 809 MgH_(2)catalysts(6555 data rows)with high fidelity and an~40-fold acceleration over manual methods.The resulting ML models achieved high accuracy(average R^(2)>0.91)in predicting dehydrogenation temperature and activation energy,subsequently guiding a Genetic Algorithm(GA)in an exploratory inverse design that autonomously uncovered key design principles for high-performance catalysts.Encouragingly,a strong alignment was found between these AI-discovered principles and the design strategies of recently reported,state-of-the-art experimental systems,providing substantial evidence for the validity of our approach.The framework culminates in Cat-Advisor,a novel,domain-adapted multi-agent system.Cat-Advisor translates ML predictions and retrieval-augmented knowledge into actionable design guidance,demonstrating capabilities that surpass those of general-purpose LLMs in this specialized domain.This work delivers a practical AI toolkit for accelerated materials discovery and advances the emerging Agent-based paradigm for designing next-generation energy technologies.展开更多
Ecological experiments were conducted to examine the effects of seawater containing elevated par- tial pressure of carbon dioxide （p CO2 800 × 10 -6 , 2 000 × 10 -6 , 5 000 × 10 -6 and 10 000 × 10...Ecological experiments were conducted to examine the effects of seawater containing elevated par- tial pressure of carbon dioxide （p CO2 800 × 10 -6 , 2 000 × 10 -6 , 5 000 × 10 -6 and 10 000 × 10 -6 ） on the survival and reproduction of female Acartia pacifica, Acartia spinicauda, Calanus sinicus and Centropages tenuiremis, which are the dominant copepods in the southern coastal waters of China. The results show that the effects of elevated p CO2 on the survival rates of copepods were species-specific. C. sinicus, which was a macro-copepod, had a higher survival rate （62.01%–71.96%） than the other three species （5.00%–26.67%） during the eight day exposure. The egg production rates of C. sinicus, A. spinicauda and C. tenuiremis were significantly inhibited by the increased p CO2 and the exposure time duration. There were significantly negative impacts on the egg hatching success of A. spinicauda and C. tenuiremis in the p CO2 2 000 × 10 -6 and 10 000 × 10 -6 groups, and, in addition, the exposure time had noticeably impacts on these rates too. This study indicates that the reproductive performances of copepods were sensitive to elevated p CO2 , and that the response of different copepod species to acidified seawater was different. Furthermore, the synergistic effects of seawater acidification and climate change or other pollutant stresses on organisms should be given more attention.展开更多
基金supported by the Sichuan Science and Technology Program(No.2023ZYD0285).
文摘To address the challenge that plasticity and strength cannot be synergistically enhanced in 30CrMnSiNi_(2)A fabricated by laser additive manufacturing,high performance samples were fabricated by laser powder bed fusion(LPBF)using the transformation-induced plasticity(TRIP)effect in this study.The optimization of the volumetric energy density(VED)resulted in an increase of the residual austenite(RA)content from 5.5%to 12.7%.Meanwhile,the martensite/austenite(M/A)island content was increased from 10.35%to 39.05%,and the morphology was transitioned from blocky to filmy structure.The phase transition during cooling triggered a competition between pre-martensite and bainite,which reduced the average grain size of the sample to 1.58μm.In addition,the elevated VED promoted the formation of fine carbides during the decomposition of M/A islands,triggering the Orowan effect,which effectively hindered dislocation motion.These microstructural enhancements obtained excellent tensile strength(1566±5.9 MPa)and elongation(14.7%±0.8%).The fracture morphology exhibited a combination of transgranular quasi-cleavage and ductile dimple fractures,indicating a balanced plasticity-strength synergy.This work demonstrates the potential of LPBF for manufacturing 30CrMnSiNi_(2)A components with intricate designs and superior mechanical properties.
基金supported by the Natural Science Foundation of Hebei Province(E2023502006)Fundamental Research Fund for the Central Universities(2025MS131).
文摘Magnesium hydride(MgH_(2)),a promising high-capacity hydrogen storage material,is hindered by slow dehydrogenation kinetics.AIdriven catalyst discovery to address this is often hampered by the laborious extraction of data from unstructured literature.To overcome this,we introduce a transformative“LLM to Agent”framework that synergistically integrates Large Language Models(LLMs)for automated data curation with Machine Learning(ML)for predictive design.We automatically constructed a comprehensive database of 809 MgH_(2)catalysts(6555 data rows)with high fidelity and an~40-fold acceleration over manual methods.The resulting ML models achieved high accuracy(average R^(2)>0.91)in predicting dehydrogenation temperature and activation energy,subsequently guiding a Genetic Algorithm(GA)in an exploratory inverse design that autonomously uncovered key design principles for high-performance catalysts.Encouragingly,a strong alignment was found between these AI-discovered principles and the design strategies of recently reported,state-of-the-art experimental systems,providing substantial evidence for the validity of our approach.The framework culminates in Cat-Advisor,a novel,domain-adapted multi-agent system.Cat-Advisor translates ML predictions and retrieval-augmented knowledge into actionable design guidance,demonstrating capabilities that surpass those of general-purpose LLMs in this specialized domain.This work delivers a practical AI toolkit for accelerated materials discovery and advances the emerging Agent-based paradigm for designing next-generation energy technologies.
基金The State Oceanic Administration Foundation of China under contract No.200805029
文摘Ecological experiments were conducted to examine the effects of seawater containing elevated par- tial pressure of carbon dioxide （p CO2 800 × 10 -6 , 2 000 × 10 -6 , 5 000 × 10 -6 and 10 000 × 10 -6 ） on the survival and reproduction of female Acartia pacifica, Acartia spinicauda, Calanus sinicus and Centropages tenuiremis, which are the dominant copepods in the southern coastal waters of China. The results show that the effects of elevated p CO2 on the survival rates of copepods were species-specific. C. sinicus, which was a macro-copepod, had a higher survival rate （62.01%–71.96%） than the other three species （5.00%–26.67%） during the eight day exposure. The egg production rates of C. sinicus, A. spinicauda and C. tenuiremis were significantly inhibited by the increased p CO2 and the exposure time duration. There were significantly negative impacts on the egg hatching success of A. spinicauda and C. tenuiremis in the p CO2 2 000 × 10 -6 and 10 000 × 10 -6 groups, and, in addition, the exposure time had noticeably impacts on these rates too. This study indicates that the reproductive performances of copepods were sensitive to elevated p CO2 , and that the response of different copepod species to acidified seawater was different. Furthermore, the synergistic effects of seawater acidification and climate change or other pollutant stresses on organisms should be given more attention.
