A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
The Semantic Units Framework, a technology-agnostic representational approach to FAIR and CLEAR knowledge infrastructures. [PDF]
Vogt L.
europepmc +1 more source
Vertical Price Transmission in Food Markets: New Evidence From Meta‐Analysis
ABSTRACT A growing body of empirical research has examined price dynamics along the food supply chain, yet findings remain heterogeneous and often conflicting. This study conducts a meta‐analysis of 140 studies, totaling 652 observations, to examine (1) the reported presence of asymmetric price transmission and (2) the reported direction of price ...
Sushan K C +2 more
wiley +1 more source
The evolving role of DICOM in digital pathology. [PDF]
Cornish TC +4 more
europepmc +1 more source
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source
Enabling Next-Generation Mass Spectrometry-Based Proteomics: Standards, Proteoform Resolution, and FAIR, Reproducible, and Quantitative Analysis. [PDF]
Vitorino R.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
AI in biocuration: challenges, opportunities, and a roadmap for sustainable integration. [PDF]
Arnaboldi V +7 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
MEL-IA: An Interoperable AI System for Multimodal Skin Lesion Classification in Hospital Settings. [PDF]
Córcoles PC +5 more
europepmc +1 more source

