Results 131 to 140 of about 30,162 (305)
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Pattern Matching Fuzzy Models for Time series Forecasting with Application
فاضل عباس الطائي
openalex +2 more sources
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song +9 more
wiley +1 more source
High resolution electron holography was used to image the projected electric potential of ordered water layers at the interface to a platinum (111) electrode. The observed reorganization of the water layers upon applying external potentials suggests that the electric potential drop of the electric double layer is mainly carried by the polarization ...
Jonas Lindner +6 more
wiley +1 more source
Time series models have been utilized to make accurate predictions in production. This paper employs a 3 year period of aviation fuel production data of Turkey as experimental data set.
Kubilay Ecerkale +2 more
doaj
Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao +4 more
wiley +1 more source
Integrated parallel forecasting model based on modified fuzzy time series and SVM [PDF]
Yuanyuan Zhang and Wenhai Wu
openalex +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source

