Results 91 to 100 of about 3,311,851 (284)
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
A semantic sensor web for environmental decision support applications [PDF]
Sensing devices are increasingly being deployed to monitor the physical world around us. One class of application for which sensor data is pertinent is environmental decision support systems, e.g., flood emergency response.
De Roure, David +77 more
core +1 more source
A Framework for the Systematic Assessment of LLM-Based Ontology Learning in Mobile Networks
The increasing adoption of Artificial Intelligence (AI)-native mobile networks has created a growing demand for scalable ontology engineering to support semantic interoperability, knowledge bases, semantically enriched data repositories, and automated ...
Thaona Saraiva +4 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
The technique for collecting available lexicon is based on surveys of open lists in which for two minutes informants recorded all the words that come to mind in relation to each center of interest, up to a total of 16 thematic stimuli. These stimuli were
Antonio María López González
doaj +1 more source
Mapping Semantic Networks To Undirected Networks
{"references": ["Jans Aasman. Allegro graph. Technical Report 1, Franz Incorporated,\n2006.", "Nicole Alexander and Siva Ravada. RDF object type and reification in\nthe database. In Proceedings of the 22nd International Conference on\nData Engineering (ICDE-06), page 93, Washington, DC, USA, 2006.\nIEEE Computer Society.", "Marcello Bax.
openaire +3 more sources
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
On a Cognitive Model of Semiosis
What is the class of possible semiotic systems? What kinds of systems could count as such systems? The human mind is naturally considered the prototypical semiotic system. During years of research in semiotics the class has been broadened to include i.e.
Konderak Piotr
doaj +1 more source

