Results 181 to 190 of about 3,554 (301)

Refinable Kernels

, 2007
Motivated by mathematical learning from training data, we introduce the notion of refinable kernels. Various characterizations of refinable kernels are presented.
Yuesheng Xu, Haizhang Zhang
core  

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Comparison of two Metop-3MI instrument models and implications for on-ground testing in multi-unit space missions. [PDF]

Sci Rep
Clermont L, Michel C, Chouffart Q, Zhao Y, Mazy E, Fuente I, La China F, Fougnie B.   +7 more
europepmc   +1 more source

Complete interpolation vs. Riesz bases of reproducing kernels

, 2014
In the study of Hilbert spaces of analytic functions, it is noticed that complete interpolating sequences and Riesz bases of reproducing kernels are dual notions. In this work we make this duality explicit by identifying sequences of complex numbers with
Cowell, Simon R., Poulin, Philippe
core  

Inequalities for reproducing Kernel spaces

Illinois Journal of Mathematics, 1983
openaire   +3 more sources

Sustainable Carbon Fibers Enable Stable Long‐Term Lithium Metal Deposition for Prospective Zero‐Excess Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
This work presents lightweight, lignin‐derived carbon fiber current collectors that enable controlled lithium deposition. Structural defects and intermediate‐sized pores stabilize pre‐nucleation quasi‐metallic lithium clusters, promoting uniform lithium plating and stripping.
Samantha L. S. Southern, Jonathon Cottom, Jana B. Fritzke, Emma N. Antonio, Zhenyu Guo, Bhavini Patel, Romain Tort, Ifan E. L. Stephens, Camilla Di Mino, Clare P. Grey, Rhodri Jervis, Emilia Olsson, Heather Au, Maria‐Magdalena Titirici   +13 more
wiley   +1 more source

Balancing Harvesting and Conservation: Demographic Responses of a Threatened Palm to Anthropogenic Disturbance. [PDF]

Ecol Evol
Mendes ETB, Portela RCQ.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Mean and variance heterogeneity loci impact kernel compositional traits in maize. [PDF]

Plant Genome
Ismail YMA, Mujjabi C, Olatoye MO, Gray S, Lipka AE, Bohn MO.   +5 more
europepmc   +1 more source

Asymmetric Multi‐Site Ion Exchange in Porous Carbon Electrodes

Advanced Energy Materials, EarlyView.
A lognormal‐distribution 2D EXSY NMR framework uncovers the full spectrum of ion dynamics in hierarchical porous carbons, bridging fast surface exchange and confined in‐pore transport—establishing structure–transport relationships for next‐generation energy storage, gas storage, and ion removal materials.
Henry R. N. B. Enninful, Marius Hermesdorf, Muhammad Abdullah Khan, Desirée Leistenschneider, Martin Oschatz, Rustem Valiullin   +5 more
wiley   +1 more source