Results 181 to 190 of about 136,820 (296)
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
Artificial intelligence-driven optimal charging strategy for EV with integrated power quality enhancement in electric power grids. [PDF]
K S, C M.
europepmc +1 more source
Phase‐changing liquids enable untethered pneumatic actuation in soft robotics but suffer from volatility and storage challenges. This work reports a simple method to encapsulate Novec 7000 within micron‐thin alginate shells via in situ injection and ionic crosslinking.
Rayan A. M. Basodan +3 more
wiley +1 more source
Integrated ATC enhancement and load growth forecasting via WOA-based optimal DSTATCOM placement. [PDF]
M AB, S A, D SS, R S.
europepmc +1 more source
Micro‐Raman spectroscopy is applied to characterize corrosion products in a recycled‐based MgO–316L steel composite anode after molten salt electrolysis. A depth‐dependent Fe–O/Fe–Al–O layer sequence of magnetite, hercynite, and an Al‐doped magnetite transition zone is identified.
Felix Drechsler +9 more
wiley +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
AI-enhanced multi-timescale optimization strategy for virtual power plants: Advancing losad forecasting and dynamic demand response integration. [PDF]
Xu G +5 more
europepmc +1 more source
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
A novel reinforcement learning-based approach for short-term load and price forecasting in energy markets. [PDF]
Wu Y, Ma Y, Aliev H.
europepmc +1 more source

