Results 181 to 190 of about 998,860 (301)
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Land use and landscape pattern changes in the Fenhe River Basin, China. [PDF]
Zhao Y, Zhao B, Wang F.
europepmc +1 more source
Identifying the Impact of Landscape Pattern on Ecosystem Services in the Middle Reaches of the Yangtze River Urban Agglomerations, China. [PDF]
Liu L, Chen X, Chen W, Ye X.
europepmc +1 more source
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
Landscape pattern prediction method based on ANN-CA-Markov coupling model. [PDF]
Sun Y, Yin X, Mao L.
europepmc +1 more source
The spatial non-stationary effect of urban landscape pattern on urban waterlogging: a case study of Shenzhen City. [PDF]
Wu J, Sha W, Zhang P, Wang Z.
europepmc +1 more source
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu +2 more
wiley +1 more source
Evaluation and optimization of park cooling benefits based on cumulative impact and landscape pattern. [PDF]
Xiong Y, Xie X, Yang Y.
europepmc +1 more source

