Results 61 to 70 of about 16,643,759 (245)

LLM-S2KG: LLM-Based Semantic–Structural Dual Knowledge Graph

Applied Sciences
In knowledge graph construction tasks, recent research often leverages Large Language Models (LLMs) to enhance the efficiency and accuracy of unstructured data processing.
Jiang Jiang, Xiangtao Jiang
doaj   +1 more source

Mechanochemically Disordered Li2Ta2OCl10 Oxyhalide Unlocks Superionic Conductivity (>10 mS.cm−1)

Advanced Energy Materials, EarlyView.
This work presents a new crystalline oxyhalide, Li2Ta2OCl10, built from [Ta2OCl10]2− dimers. The disorder induced by ball‐milling drives the dramatic 5000‐fold increase in ionic conductivity to reach 11 mS.cm−1. The material shows promise as a solid electrolyte for batteries and opens new prospects for the discovery of new dimer‐based compounds ...
Clément Morel, Anshuman Chaupatnaik, Jie Liu, Mingxue Tang, Horyung Ji, Mouna Ben Yahia, Marie‐Liesse Doublet, Tatiana N. Kobernik, Dmitry A. Aksyonov, Artem M. Abakumov, Gwenaëlle Rousse, Jean‐Marie Tarascon   +11 more
wiley   +1 more source

B-spline mutual information independent component analysis [PDF]

, 2010
Mutual Information is one of the most natural criteria when developing independent component analysis (ICA). Although utilized to some level it has always been difficult to calculate.
Li, Yan, Walters-Williams, Janett
core  

Mutual information between geomagnetic indices and the solar wind as seen by WIND : implications for propagation time estimates [PDF]

, 2005
The determination of delay times of solar wind conditions at the sunward libration point to effects on Earth is investigated using mutual information. This measures the amount of information shared between two timeseries.
R. O. Dendy, Dendy, R. O., S. C. Chapman, T. K. March, March, T. K., Chapman, Sandra C.   +5 more
core   +1 more source

Extension Economists: Valued in Mission, Penalized in Practice

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT As the public engagement arm of the land‐grant mission, we argue that Extension faculty in US agricultural economics departments face an identity crossroads as they struggle for institutional support. Specifically, we argue that Extension economists function as boundary‐spanning professionals within academic structures that often devalue ...
Trey Malone, Craig W. Carpenter, Courtney Bir, Andrew J. Van Leuven, Rebecca Wasserman‐Olin, Wendong Zhang   +5 more
wiley   +1 more source

Pluralism in Scientific Problem Solving. Why Inconsistency is No Big Deal

Humana.Mente: Journal of Philosophical Studies, 2018
Pluralism has many meanings. An assessment of the need for logical pluralism with respect to scientific knowledge requires insights in its domain of application. So first a specific form of epistemic pluralism will be defended.
Diderik Batens
doaj  

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

AIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang, Xiaopo Cheng, Hui Geng, Jiaze Ma   +3 more
wiley   +1 more source

Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients [PDF]

, 2008
We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI).
Gomez, C., Escudero, J.; id_orcid, Espino, P., Hornero, R., Abasolo, D., Hornero, R, Espino, P, Escudero, J, Gómez, C, Abásolo, D   +9 more
core   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source