Results 271 to 280 of about 20,529 (316)

Enhancing CoFe Catalysts with V2CTX MXene‐Derived Materials for Anion Exchange Membrane Electrolyzers

Advanced Functional Materials, EarlyView.
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan, Karuppasamy Dharmaraj, Thorsten Schultz, Leiqiang Qin, Ningjun Chen, Danielle A. Douglas‐Henry, Bastian Schmiedecke, Merve Buldu‐Akturk, Axel Zuber, Iris Dorbandt, Maximilian Reinhardt, Yael Rodriguez‐Ayllon, Yan Lu, Valeria Nicolosi, Norbert Koch, Johanna Rosen, Michelle P. Browne   +16 more
wiley   +1 more source

Entanglement witnesses and separability criteria based on generalized equiangular tight frames. [PDF]

Sci Rep
Siudzińska K.
europepmc   +1 more source

An intelligent algorithm for optimizing player positioning using circular intuitionistic fuzzy COCOSO with Einstein aggregation. [PDF]

Sci Rep
Fang Z, Yao X, Song M.
europepmc   +1 more source

Ray Transform of Symmetric Tensor Fields on Riemannian Manifolds with Conjugate Points. [PDF]

J Geom Anal
Holman S, Krishnan VP.
europepmc   +1 more source

Weak solutions to gradient flows of functionals with inhomogeneous growth in metric spaces. [PDF]

J Evol Equ
Górny W.
europepmc   +1 more source

Analyzing industrial robot selection based on a fuzzy neural network under triangular fuzzy numbers. [PDF]

Sci Rep
Ullah I, Abdullah S, Rahimzai AA, Nawaz M, Khan S.   +4 more
europepmc   +1 more source

Formulas for the operator norm and the extension of a linear functional on a linear subspace of a Hilbert Space

, 2019
Halil İbrahim Çelık
openalex   +1 more source

Norm-dissipative operators

, 1982
openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Norm-Observable Operator Models

Neural Computation, 2010
Hidden Markov models (HMMs) are one of the most popular and successful statistical models for time series. Observable operator models (OOMs) are generalizations of HMMs that exhibit several attractive advantages. In particular, a variety of highly efficient, constructive, and asymptotically correct learning algorithms are available for OOMs.
Zhao, Ming-Jie, Jaeger, Herbert
openaire   +2 more sources