Results 61 to 70 of about 146,290 (276)
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
On the Free Choice Potential of Epistemic and Deontic Modals
, 2013 A number of constructions in various languages display a different behavior in the scope of epistemic and deontic modals. For example, the German indefinite determiner irgendein gives rise to different inferences under the two kinds of modals (Aloni and ...
Aloni, M. +3 more
core +2 more sources
Certainly but not certain: The expression of subjective and objective probability
Glossa, 2022 This paper investigates the interpretation of the epistemic modal adjectives possible, certain and their adverbial counterparts possibly, certainly, taking the perspective that the former express objective modality, whereas the latter express subjective ...
Anton Benz +5 more
doaj +2 more sources
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 +5 more
wiley +1 more source
New Horizons for a Theory of Epistemic Modals [PDF]
, 2018 Recent debate over the semantics and pragmatics of epistemic modals has focused on intuitions about cross-contextual truth-value assessments. In this paper, we advocate a different approach to evaluating theories of epistemic modals. Our strategy focuses
Khoo, Justin, Phillips, Jonathan
core +4 more sources
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Advanced Intelligent Discovery, EarlyView.Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
Conditional Sentences: ELT typology and corpus evidence. [PDF]
, 2003 This paper presents the findings of a pilot study examining the representation of the typology of conditional sentences presented in English language teaching (ELT) materials (coursebooks and grammars) in a random sample of 1,000 conditional sentences ...
Gabrielatos, Costas
core +3 more sources
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Modal-Epistemic Arithmetic and the problem of quantifying in [PDF]
Synthese, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source