Neural Stochastic Differential Equations with Neural Processes Family Members for Uncertainty Estimation in Deep Learning. [PDF]
Sensors (Basel), 2021 Wang Y, Yao S.
europepmc +1 more source
Plasmonic Nanomachines: Creating Local Potential Gradients and Motions
Advanced Materials, EarlyView.Plasmonic nanomachines can generate optical, thermal, and chemical potential gradients to drive directional rectilinear, rotational, and twisting motions at the nanometer scale. The integration of multimodal plasmonic forces with functional materials and programmed structural distortions enables precise spatiotemporal actuation, thereby providing a ...
Yoonhee Kim +3 more
wiley +1 more source
A Comparative Study on Early‐Stage Icing Evaluation Techniques for Passive Ice Protection Systems
Advanced Materials Interfaces, EarlyView.This study addresses the lack of standardized methodologies for evaluating the early‐stage icing performance of passive ice protection systems. A unified experimental protocol is proposed and applied to representative hydrophilic and hydrophobic surfaces under controlled conditions.
Lorenzo Facco +4 more
wiley +1 more source
L p -Solutions and Comparison Results for Lévy-Driven Backward Stochastic Differential Equations in a Monotonic, General Growth Setting. [PDF]
J Theor Probab, 2022 Kremsner S, Steinicke A.
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Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced 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
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak +3 more
wiley +1 more source
Strong convergence and stability of implicit numerical methods for stochastic differential equations with non-globally Lipschitz continuous coefficients [PDF]
, 2012 Xuerong Mao, Łukasz Szpruch
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Fully 3D‐Printed Wave‐Wound Electromagnetic Motors
Advanced Materials Technologies, EarlyView.This work presents the first fully 3D‐printed wave‐wound electromagnetic motors, which are created using conductive nanoparticle inks, carbon‐filled nylon polymers, and surface mount components. These motors can achieve a stall torque of 7.62N·mmA−1$7.62 \nobreakspace N{\cdot }mm A^{-1}$ and efficiency of 28.2 %, which approaches the performance of ...
Joseph Schwalbe +4 more
wiley +1 more source
Some Results on Stochastic Differential Equations with Reflecting Boundary Conditions
, 2004 Pedro Marín-Rubio, José Real
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