Transfer of Energy and Momentum Between Magnetoactive Surface Microstructure and a Solid Object
We demonstrate that magnetoactive multilamellar arrays subjected to a rotating magnetic field can function as platforms for controlled transport of physical objects. Through systematic experimental investigation, we elucidate the underlying physical mechanisms determining the upper limit of the achievable transportation speed in such magnetic “conveyor‐
Arne Geldof +9 more
wiley +1 more source
Materials Data Science Ontology(MDS-Onto): Unifying Domain Knowledge in Materials and Applied Data Science. [PDF]
Rajamohan BP +27 more
europepmc +1 more source
A wood‐based magnetic and conductive material called Magwood (MW), capable of blocking almost 99.99% of electromagnetic waves (in the X‐band frequency range), is synthesized using a simple, solvent‐free process. MW is lightweight, resists water, and is flame‐retardant, making it a promising alternative for shielding electronics. The rapid proliferation
Akash Madhav Gondaliya +3 more
wiley +1 more source
AI-assisted evidence screening method for systematic reviews in environmental research: integrating ChatGPT with domain knowledge. [PDF]
Zuo C +5 more
europepmc +1 more source
The work demonstrates that strategic wall‐thickness grading in diamond triply periodic minimal surface lattices enables precise tuning of deformation and failure behavior under compression. Different gradation patterns guide how and where the structure collapses, improving energy absorption or promoting controlled brittle failure.
Giovanni Rizza +3 more
wiley +1 more source
Visualization and Analysis of Mapping Knowledge Domain of Urban Vitality Research [PDF]
Jiangang Shi, Wei Miao, Hongyun Si
openalex +1 more source
Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge. [PDF]
Kim Y +3 more
europepmc +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
Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration. [PDF]
Sekhar GVC, Alemu C.
europepmc +1 more source

