Results 171 to 180 of about 1,486,932 (305)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced 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

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao   +3 more
wiley   +1 more source

Excipient Emulsion–Based Delivery Systems for Enhancing Carotenoid Bioavailability: Advances in Formulation and Gastrointestinal Fate

open access: yesAgriFood: Journal of Agricultural Products for Food, EarlyView.
Excipient emulsion systems improve carotenoid solubilization, protect against degradation, and enhance gastrointestinal absorption through optimized formulation and digestion behavior. ABSTRACT Carotenoids are bioactive compounds that contribute to human health through antioxidant, provitamin A, and disease‐preventive effects.
Tugce Ceyhan   +3 more
wiley   +1 more source

On Reproducing Kernel and Applications

open access: yesAdvances in Analysis, 2018
José Claudinei Ferreira   +1 more
openaire   +1 more source

Population balance modeling and digital design of degree of agglomeration in industrial crystallization

open access: yesAIChE Journal, EarlyView.
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang   +6 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

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