Publications by authors named "V E Wood"
Li-S batteries with an improved cycle life of over 1000 cycles have been achieved using cathodes of sulfur-infiltrated nanoporous carbon with carbonate-based electrolytes. In these cells, a protective cathode-electrolyte interphase (CEI) is formed, leading to solid-state conversion of S to LiS in the nanopores. This prevents the dissolution of polysulfides and slows capacity fade.
View Article and Find Full Text PDFLithium-ion batteries are pivotal in climate change mitigation. While their own carbon footprint raises concerns, existing studies are scattered, hard to compare and largely overlook the relevance of battery materials. Here, we go beyond traditional carbon footprint analysis and develop a cost-based approach, estimating emission curves for battery materials lithium, nickel and cobalt, based on mining cost data.
View Article and Find Full Text PDFThe Pfam protein families database is a comprehensive collection of protein domains and families used for genome annotation and protein structure and function analysis (https://www.ebi.ac.
View Article and Find Full Text PDFArticle Synopsis
- Ontologies are key for managing consensus knowledge in areas like biomedical, environmental, and food sciences, but creating and maintaining them requires significant resources and collaboration among experts.
- The Dynamic Retrieval Augmented Generation of Ontologies using AI (DRAGON-AI) leverages Large Language Models and Retrieval Augmented Generation to automate the generation of ontology components, showing high precision in relationship creation and ability to produce acceptable definitions.
- While DRAGON-AI can significantly support ontology development, expert curators remain essential for overseeing the quality and accuracy of the generated content.
Article Synopsis
- Phenotypic data helps us understand how genomic variations affect living organisms and is vital for clinical applications like diagnosing diseases and developing treatments.
- The field of phenomics aims to unify and analyze the vast amounts of phenotypic data collected over time, but faces challenges due to inconsistent methods and vocabularies used to record this information.
- The Unified Phenotype Ontology (uPheno) framework offers a solution by providing a standardized system for organizing phenotype terms, allowing for better integration of data across different species and improving research on genotype-phenotype associations.