Ceramic 4D printing,which integrates dynamic deformation with additive manufacturing,demonstrates significant potential in intelligent manufacturing,on-demand shaping of complex structures,and multifunctional device d...Ceramic 4D printing,which integrates dynamic deformation with additive manufacturing,demonstrates significant potential in intelligent manufacturing,on-demand shaping of complex structures,and multifunctional device development.Its core advantage lies in endowing materials with environmentally responsive dynamic deformation capabilities.However,current technologies still face limitations in responsiveness,reversibility,and mechanical performance.To address these challenges,this study proposes a programmable ceramic precursor system based on synergistic reinforcement of phase-separating hydrogels and shape memory polymers,combined with a nano-ceramic particle enhancement strategy.Using stereolithography 3D printing,high-precision fabrication of complex structures was achieved.By adjusting precursor composition,programming time,and structural thickness,the phase-separation kinetics-driven delayed recovery mechanism was elucidated,enabling precise control over recovery onset time.Furthermore,the thermal response mechanism of the precursor materials is explored,along with their potential for multi-shape transformation in biomedical applications,which is further extended to shape memory polymer systems.By employing a layered printing strategy,the autonomous reversible deformation of ceramic precursors is realized,providing new possibilities for specific applications.展开更多
Transport of an underdamped Brownian particle in a one-dimensional asymmetric deformable potential is investigated in the presence of both an ac force and a static force,respectively.From numerical simulations,we obta...Transport of an underdamped Brownian particle in a one-dimensional asymmetric deformable potential is investigated in the presence of both an ac force and a static force,respectively.From numerical simulations,we obtain the current average velocity.The current reversals and the absolute negative mobility are presented.The increasing of the deformation of the potential can cause the absolute negative mobility to be suppressed and even disappear.When the static force is small,the increase of the potential deformation suppresses the absolute negative mobility.When the force is large,the absolute negative mobility disappears.In particular,when the potential deformation is equal to0.015,the two current reversals present with the increasing of the force.Remarkably,when the potential deformation is small,there are three current reversals with the increasing of the friction coefficient and the average velocity presents a oscillation behavior.展开更多
Mechanical computing,utilizing mechanical deformation to perform calculations,has attracted significant attention as an innovative computing strategy for achieving high accuracy and exceptional physical robustness.How...Mechanical computing,utilizing mechanical deformation to perform calculations,has attracted significant attention as an innovative computing strategy for achieving high accuracy and exceptional physical robustness.However,its reliance on passive mechanical displacement limits its applicability for complex computations.This study presents a novel system that enables active light signal modulation through reversible mechanical deformation by integrating soft and 3D electronics.The proposed system features:1)Optical fibers with optimized 3D cracks embedded in a low-modulus,high-elongation material,enabling strain-induced multimodal transitions.2)Maximized stress concentration on the cracked fibers under strain,allowing them to function as active components for light modulation,which facilitates complex logic calculations and validates truth tables.3)Multifunctional vibration sensing capabilities,illustrating the scalability of strain inputs and the potential for dynamic applications,such as soft robotics.These findings underscore the potential of this approach as a computational platform for mechanical motion-based technologies.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.52025053 and 52235006)the Jilin Provincial Scientific and Technological Development Program(20220204119YY)the Natural Science Foundation of Shandong Province(ZR2023ME154)。
文摘Ceramic 4D printing,which integrates dynamic deformation with additive manufacturing,demonstrates significant potential in intelligent manufacturing,on-demand shaping of complex structures,and multifunctional device development.Its core advantage lies in endowing materials with environmentally responsive dynamic deformation capabilities.However,current technologies still face limitations in responsiveness,reversibility,and mechanical performance.To address these challenges,this study proposes a programmable ceramic precursor system based on synergistic reinforcement of phase-separating hydrogels and shape memory polymers,combined with a nano-ceramic particle enhancement strategy.Using stereolithography 3D printing,high-precision fabrication of complex structures was achieved.By adjusting precursor composition,programming time,and structural thickness,the phase-separation kinetics-driven delayed recovery mechanism was elucidated,enabling precise control over recovery onset time.Furthermore,the thermal response mechanism of the precursor materials is explored,along with their potential for multi-shape transformation in biomedical applications,which is further extended to shape memory polymer systems.By employing a layered printing strategy,the autonomous reversible deformation of ceramic precursors is realized,providing new possibilities for specific applications.
基金Supported in part by the National Natural Science Foundation of China under Grant Nos.11575064 and 11175067the Natural Science Foundation of Guangdong Province under Grant No.2016A030313433
文摘Transport of an underdamped Brownian particle in a one-dimensional asymmetric deformable potential is investigated in the presence of both an ac force and a static force,respectively.From numerical simulations,we obtain the current average velocity.The current reversals and the absolute negative mobility are presented.The increasing of the deformation of the potential can cause the absolute negative mobility to be suppressed and even disappear.When the static force is small,the increase of the potential deformation suppresses the absolute negative mobility.When the force is large,the absolute negative mobility disappears.In particular,when the potential deformation is equal to0.015,the two current reversals present with the increasing of the force.Remarkably,when the potential deformation is small,there are three current reversals with the increasing of the friction coefficient and the average velocity presents a oscillation behavior.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(grant Nos.RS-2024-00347619,RS-2024-00406240,RS-2024-00407155,RS-2025-00513522,and RS-2025-25420118)upported by a grant of Korean ARPA-H Project through the Korea Health Industry Development Institute(KHIDI),funded by the Ministry of Health&Welfare,Republic of Korea(grant number:RS-2025-25454431).
文摘Mechanical computing,utilizing mechanical deformation to perform calculations,has attracted significant attention as an innovative computing strategy for achieving high accuracy and exceptional physical robustness.However,its reliance on passive mechanical displacement limits its applicability for complex computations.This study presents a novel system that enables active light signal modulation through reversible mechanical deformation by integrating soft and 3D electronics.The proposed system features:1)Optical fibers with optimized 3D cracks embedded in a low-modulus,high-elongation material,enabling strain-induced multimodal transitions.2)Maximized stress concentration on the cracked fibers under strain,allowing them to function as active components for light modulation,which facilitates complex logic calculations and validates truth tables.3)Multifunctional vibration sensing capabilities,illustrating the scalability of strain inputs and the potential for dynamic applications,such as soft robotics.These findings underscore the potential of this approach as a computational platform for mechanical motion-based technologies.
