Results 101 to 110 of about 14,327,559 (281)
Composition of Linear Multistep Methods
We use the theoretical framework of General Linear Methods (GLMs) to analyze and generalize the class of Cash’s Modified Extended Backward Differentiation Formulae (MEBDF).
IZZO, GIUSEPPE, Jackiewicz, Zdzislaw
core
3D shaping of Ni1‐xFexCo2O4 spinel electrocatalyst to form high aspect ratio nanorods, made of 25 nm grain size particles and directly grown on Nickel felt, is proposed to improve the performance of industrial catalysts based on group‐VIII transition‐metal oxides.
Ataollah Niyati, Ombretta Paladino
wiley +1 more source
Thermoplastic attachment is introduced as a scalable surface coating strategy to improve the durability and dielectric reliability of flexible electrodynamic dust shields. By embedding chemically modified reduced graphene oxide (CMrGO) electrodes within thermoplastic laminates, mechanical degradation, abrasion damage, and vacuum‐induced electrical ...
Ide E. Onal +6 more
wiley +1 more source
Stability of implicit-explicit linear multistep methods [PDF]
In many applications, large systems of ordinary differential equations (ODEs) have to be solved numerically that have both stiff and nonstiff parts.
Hundsdorfer, Willem +2 more
core +2 more sources
Graphical abstract illustrating the fabrication of Ni–P–O–C porous carbon microlattice electrodes by DLP printing of Ni/P precursor‐containing resin followed by high‐temperature carbonization. The resulting conductive microlattice acts directly as the HER cathode in alkaline electrolyte, where in situ formed Ni–P–O–C interfaces provide active sites for
Muzahir Ali +6 more
wiley +1 more source
A multi‐point oxygen‐sensing ultra‐fine needle (MO‐UFN) is developed by conformally integrating a lithographically patterned flexible electrochemical sensor array onto a clinical acupuncture needle. The platform preserves an approximately 0.3 mm diameter while enabling spatially resolved oxygen profiling along the insertion pathway.
Yeju Seo +9 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Linear multistep methods for Volterra integral and integro-differential equations
A general class of linear multistep methods is presented for numerically solving first- and second-kind Volterra integral equations, and Volterra integro-differential equations.
P. J. van der Houwen, H. J. J. te Riele
core +1 more source

