Results 131 to 140 of about 18,248 (264)
The Effect of Surface Tension on the Gravity-driven Thin Film Flow of Newtonian and Power-law Fluids. [PDF]
Hu B, Kieweg SL.
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Comparison of Different Impellers for Gas Dispersion in Power-Law Fluids
Shruti P. Hinge +2 more
doaj +1 more source
A magnetic donut‐like millirobot is developed for label‐free pick‐and‐place of a tumor spheroid wirelessly controlled by a magnetic trap. Spheroids are important 3D multicellular culture systems that recapitulate key structural and functional features of native tissues.
Yue Gao +8 more
wiley +1 more source
Gravity-Driven Microfluidic Viscosity Measurement with a Small Capillary Radius and Strong Pinning Effect. [PDF]
Dong J, Liu B, Ai X, Zhang Q.
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Rheology of Cellulose Nanocrystal and Fumed Silica Suspensions: Influence of Ionic Surfactants. [PDF]
Pal R, Richards J, Pal A.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Optical Coherence Tomography Velocimetry for In-Line Processing of Biologics: Concentrated and Gelling Monoclonal Antibody Solutions. [PDF]
Lewis CM +4 more
europepmc +1 more source
We proposed a method based on the piezoelectric effect and fabricated an implant abutment on the basis of piezoelectric ceramic. Under physiological occlusal pressure, the oral motion‐powered smart dental implant abutments interacted with water and oxygen, promoting the formation of reactive oxygen species and achieving a synergistic and highly ...
Xiyu Shi +15 more
wiley +1 more source

