Results 131 to 140 of about 6,659,086 (346)
Multi-element stochastic reduced basis methods [PDF]
This paper presents mutli-element Stochastic Reduced Basis Methods (ME-SRBMs) for solving linear stochastic partial differential equations. In ME-SRBMs, the domain of definition of the random inputs is decomposed into smaller subdomains or random ...
Surya Mohan, P. +5 more
core +1 more source
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
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
Optimization of breeding program design through stochastic simulation with kernel regression. [PDF]
Hassanpour A +3 more
europepmc +1 more source
Forecasting Romanian Financial System Stability using a Stochastic Simulation Model [PDF]
The aim of this paper is to develop an aggregate stability index for the Romanian financial system, which is meant to enhance the set of analysis used by authorities to assess the financial system stability.
Claudiu Tiberiu Albulescu
core
Fully 3D‐Printed Wave‐Wound Electromagnetic Motors
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
Implementing quantum dimensionality reduction for non-Markovian stochastic simulation. [PDF]
Wu KD +7 more
europepmc +1 more source
Left: Illustration of the glass & nanostructures system and the NIR emission at 1.5 µm, where the colored spheres represent the Er3+ ions within the doped glass. Right: Representation of the Stark splitting of the 4I13/2 and 4I15/2 manifolds of the Er3+, illustrating how the plasmonic modes facilitate the emission from the broader Stark manifold ...
Gaston Lozano Calderón +5 more
wiley +1 more source
Computation of viscoelastic flow using neural networks and stochastic simulation
A new technique for numerical calculation of viscoelastic flow based on the combination of Neural Networks (NN) and Brownian Dynamics simulation or Stochastic Simulation Technique (SST) is presented in this paper.
Tran, Canh-Dung, Tran-Cong, Thanh
core
Self‐Assembled Calcite Architectures for Programmable Information Storage
Programmable biomineralization enables the formation of 3D calcite architectures that encode information through spatially defined refractive‐index modulations. Data are written via laser‐directed mineralization, stored in stable voxelized mineral structures, and retrieved non‐destructively through optical diffraction, offering a pathway toward ultra ...
Congrui Jin +2 more
wiley +1 more source

