Results 251 to 260 of about 6,132,114 (301)

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Perceived everyday discrimination and leukocyte gene expression in a nationally representative sample of U.S. Adults. [PDF]

open access: yesBrain Behav Immun
Crump AA   +7 more
europepmc   +1 more source

Dietary Brown Mushroom Stem Powder Modulates Ileal Morphology and Barrier-Related Gene Expression in Layer Chicks. [PDF]

open access: yesAnimals (Basel)
Salahuddin M   +6 more
europepmc   +1 more source

On quadratic differential forms

Proceedings of 1994 33rd IEEE Conference on Decision and Control, 1998
The authors develop a theory for linear time-invariant differential systems and quadratic functionals. It is shown that for systems described by one-variable polynomial matrices, the appropriate tool to express quadratic functionals of the system variables are two-variable polynomial matrices. The authors present a description of the interaction of one-
Willems, Jan C., Trentelman, Harry L.
openaire   +4 more sources

Abstract Quadratic Forms

Canadian Journal of Mathematics, 1969
We shall be studying the following structure, which we shall call a V-form (“Vector-valued form”). Let G and W be additive abelian groups with every element of order 2 (i.e. vector spaces over the field GF(2) of two elements). Let there be given a symmetric bilinear map from G × G to W; we shall write it simply as a product ab. We define an equivalence
Kaplansky, Irving, Shaker, Richard J.
openaire   +1 more source

Home - About - Disclaimer - Privacy