Results 151 to 160 of about 1,541 (214)
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley +1 more source
Increasing the density of isolated manganese (Mn) atoms in carbon nitride (CNx) photocatalysts does not continuously improve performance. Instead, beyond a critical loading, the polymer support reorganizes, altering charge‐carrier dynamics and oxygen activation while preserving atomic dispersion.
Viktoria Velichko +14 more
wiley +2 more sources
Construction an Implicit Block Multi-Steps Approach for Solving Sixth-Order Fractional Differential Equations. [PDF]
Mechee MS, Mahmood Salih M.
europepmc +1 more source
Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen +3 more
wiley +1 more source
Boosting Charge Storage in Ferri/Ferrocyanide‐Based Alkaline Redox Flow Batteries
By modifying the solvation environment, cation engineering through Li+ substitution of traditional K+ or Na+ boosts the alkaline solubility of the ferri/ferrocyanide catholyte redox couple, providing a viable pathway to overcome the long‐standing challenge of energy density limitations for aqueous redox flow batteries (RBFs).
Mahla Sarfaraz Khabbaz +6 more
wiley +2 more sources
Effect of smoking on the diagnostic performance of computational fluid dynamics-derived CT-derived fractional flow reserve: a cross-sectional study. [PDF]
Wang X +6 more
europepmc +1 more source
Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian +10 more
wiley +1 more source
The luminescence of a heterometallic d‐s {Cu2I2Na2} phosphane‐phosphinate aggregate is regulated by an interplay of Na+–π/I– contacts and reversible coordination of oxygen‐containing organic molecules to Na ions. Structural variations caused by the incoming guest lead to a wide and selective variation of the emission color and illustrate a new approach
Henna Korhonen +10 more
wiley +2 more sources
A nonlinear windkessel model for cardiovascular dynamics: Variable compliance and pathological simulations. [PDF]
Varanis M +3 more
europepmc +1 more source
Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar +2 more
wiley +1 more source

