Results 161 to 170 of about 93,121 (296)

Macrophages Mediate Mesoscale Brain Mechanical Homeostasis

open access: yesAdvanced Materials, EarlyView.
We investigated the role of infiltrating immune cells in sculpting the developing brain. Using Brillouin microscopy and active microrheology, we found microglia actively maintain tissue viscoelasticity. Moreover, colony stimulating factor one receptor (CSF1R)‐driven stromal remodeling alters brain mechanics in vivo. These findings link immune activity,
Woong Young So   +11 more
wiley   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

open access: yesAdvanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia   +3 more
wiley   +1 more source

Programmable Dimensional Lithography with Digital Micromirror Devices for Multifunctional Microarchitectures

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee   +5 more
wiley   +1 more source

Multimodal inverse kinematics significantly improves IMU-based biomechanical analyses. [PDF]

open access: yesSci Rep
Wechsler I   +6 more
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

open access: yesAdvanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue   +8 more
wiley   +1 more source

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