Results 121 to 130 of about 13,903 (231)

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

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
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

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Evaluating Three Foundation Potentials for Predicting Selected Properties of the Co–Ni–Ru Alloy System

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
Distributions of intrinsic stacking fault energies (ISFE) among different slip planes in the face‐centered cubic Co2Ni2Ru alloy, predicted by three foundation potentials (DPA, Orb, and SevenNet) and density functional theory (DFT) calculations. This study evaluates the efficacy of three foundation potentials (FPs)—SevenNet, DPA, and Orb—in predicting ...
Subah Mubassira   +8 more
wiley   +1 more source

Shape Analysis and Recognition Method of Artworks Based on Computational Geometry

open access: yesEngineering Reports, Volume 8, Issue 8, August 2026.
Traditional methods for shape analysis and recognition of artworks have many shortcomings in terms of precision, efficiency, and complex shape processing. Especially when faced with complex or abstract artworks, it is often difficult to provide accurate classification and recognition results.
Xiaohan Wang, Zhe Zhang
wiley   +1 more source

Relative entropy as a biomarker for vagus nerve stimulation response in epilepsy: Insights from intracerebral electroencephalography

open access: yesEpilepsia Open, Volume 11, Issue 4, Page 1343-1353, August 2026.
Abstract Objective This study aims to analyze differences in pre‐implantation invasive electroencephalographic (IEEG) data between vagus nerve stimulation (VNS) responders (>50% seizure reduction) and VNS nonresponders (<50% seizure reduction). Methods We retrospectively identified 19 patients with drug‐resistant focal epilepsy who underwent IEEG ...
Štěpán Erben   +12 more
wiley   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

open access: yesEnergy Science &Engineering, Volume 14, Issue 8, Page 3656-3673, August 2026.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

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