Results 61 to 70 of about 26,660 (262)
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Modern tools for development of interactive web map applications for visualization spatial data on the internet [PDF]
In the last few years has begun the development of dynamic web applications, often called Web2.0. From this development wascreated a technology called Mashups.
Horáková Bronislava +3 more
doaj
correspSearch – Connecting Scholarly Editions of Letters
The web service correspSearch collects correspondence metadata from diverse scholarly editions by using the TEI XML–based “Correspondence Metadata Interchange Format” developed by the TEI Correspondence SIG.
Stefan Dumont
doaj +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
Development of Voice-Controlled Automatic Chessboard Games for People with Physical Disabilities
The development of chess board games in the field of technology focuses more on artificial intelligence, but less on people with physical disabilities, especially those with motor impairments who rely on human assistance to move pieces.
Ferdiansyah Farandi +2 more
doaj +1 more source
Web API is a popular way to organize network services in cloud computing environment. However, it is a challenge to find an appropriate service for the requestor from massive Web API services.
Jiaji Shen, Wen Huang, Qiang Hu
doaj +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Mashup-Oriented API Recommendation via Random Walk on Knowledge Graph
With the growing prosperity of the Web API economy, mashup-oriented API recommendation has become an important requirement. Various methods based on different principles of technology have been used to deal with this issue.
Xin Wang, Hao Wu, Ching-Hsien Hsu
doaj +1 more source

