Results 141 to 150 of about 241,396 (287)
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Inducing strong convergence into the asymptotic behaviour of proximal splitting algorithms in Hilbert spaces. [PDF]
Boţ RI, Csetnek ER, Meier D.
europepmc +1 more source
Robot‐Assisted Measurement of the Critical Micelle Concentration
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio +3 more
wiley +1 more source
This work establishes an MXene‐based S‐scheme heterojunction in which the cooperative interplay among metallic Ni, surface NiOx domains, and conductive Ti3C2Clx drives efficient charge separation and photothermal coupling. Progressive evolution of Ni surface states regulates the CH4/CH3OH product distribution by modulating interfacial energetics and ...
Dawid D. Kruger +6 more
wiley +2 more sources
Existence of solutions for a singularly perturbed nonlinear non-autonomous transmission problem
In this article we analyze a boundary value problem for the Laplace equation with a nonlinear non-autonomous transmission conditions on the boundary of a small inclusion of size $\epsilon$.
Riccardo Molinarolo
doaj
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
The eigenstructure of some positive linear operators
Of concern is the study of the eigenstructure of some classes of positive linear operators satisfying particular conditions. As a consequence, some results concerning the asymptotic behaviour as \(t\to +\infty\) of particular strongly continuous ...
Antonio Attalienti, Ioan Raşa
doaj
Torque‐Transmitting Architected Metamaterials for Flexible and Extendable Tubular Robotics
Soft and continuum robots commonly rely on fluid, tendon, or rod‐based power transmissions, to control robotic form and actuation. This study presents an architected structure, based on patterned straight‐line mechanisms, that enables simultaneous bending, extending, and torsionally rigid (BETR) transmission.
Sawyer Thomas, Aman Garg, Jeffery Lipton
wiley +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Asymptotic behaviour of random walks with correlated temporal structure. [PDF]
Magdziarz M, Szczotka W, Zebrowski P.
europepmc +1 more source

