Results 221 to 230 of about 30,506 (311)

Embedded 3D‐Coaxial Bioprinting of Stenotic Brain Vessels with a Mechanically Enhanced Extracellular Matrix Bioink for Investigating Hemodynamic Force‐Induced Endothelial Responses

open access: yesAdvanced Functional Materials, EarlyView.
In this study, a physically enhanced vascular dECM bioink and used 3D‐coaxial bioprinting are developed to fabricate mature brain blood vessels for cerebral atherosclerosis research. This model demonstrates that vascular geometry‐induced hemodynamic changes trigger vascular inflammation, ensuring its potential for cerebrovascular research.
Wonbin Park   +7 more
wiley   +1 more source

Cellular Automaton Simulation of Corrosion in 347H Steel Exposed to Molten Solar Salt at Pilot-Plant Scale. [PDF]

open access: yesMaterials (Basel)
Reinoso-Burrows JC   +9 more
europepmc   +1 more source

Transforming Cellulose Into Functional Three‐Dimensional Structures

open access: yesAdvanced Functional Materials, EarlyView.
Cellulose is promising for replacing synthetic polymers due to its excellent mechanical properties and low cost. This review highlights the recent advancements in transforming cellulose into functional 3D structures, including liquid gels and porous materials.
Xia Sun   +5 more
wiley   +1 more source

Conformally Perforated Shellular Metamaterials with Tunable Thermomechanical and Acoustic Properties

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces Conformally Perforated Shellular Metamaterials (CPSMs), which overcome TPMS design limitations by mapping 2D cellular layouts onto 3D surfaces. CPSMs exhibit enhanced elastic stiffness, thermal conductivity, and acoustic performance compared to intact P‐type shellulars, demonstrating their potential as multifunctional ...
Benyamin Shahryari   +8 more
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

A stochastic cellular automaton model for traffic flow with multiple metastable states [PDF]

open access: green, 2004
Katsuhiro Nishinari   +2 more
openalex   +1 more source

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