Results 81 to 90 of about 1,129,461 (196)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
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, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
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

Revealing the Influence of Semantic Similarity on Survey Responses: A Synthetic Data Generation Approach

IEEE Access
Questionnaires are essential for measuring self-reported attitudes, beliefs, and behaviour in many research fields. Semantic similarity of the questions is recognized as a source of covariance in the human data, implying that response patterns partly ...
Esko Lehtonen, Tommi Buder-Grondahl, Sina Nordhoff   +2 more
doaj   +1 more source

Metrics for GO based protein semantic similarity: a systematic evaluation

BMC Bioinformatics, 2008
Background Several semantic similarity measures have been applied to gene products annotated with Gene Ontology terms, providing a basis for their functional comparison.
Falcão André O, Ferreira António EN, Bastos Hugo, Faria Daniel, Pesquita Catia, Couto Francisco M   +5 more
doaj   +1 more source

Challenging the Boundaries of Unsupervised Learning for Semantic Similarity

IEEE Access, 2019
The semantic analysis field has a crucial role to play in the research related to text analytics. Calculating the semantic similarity between sentences is a long-standing problem in the area of natural language processing, and it differs significantly as
Atish Pawar, Vijay Mago
doaj   +1 more source

The Influence of Frequency and Semantic Similarity on How Children Learn Grammar [PDF]

, 2010
Lexically based learning and semantic analogy may both play a role in the learning of grammar. To investigate this, 5-year-old German children were trained on a miniature language (nominally English) involving two grammatical constructions, each of ...
Tomasello, Michael, Abbot-Smith, K. ; https://orcid.org/, Kirsten Abbot-Smith, Abbot-Smith, Kirsten, Michael Tomasello, Tomasello, M. ; https://orcid.org/   +5 more
core   +1 more source

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
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, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
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, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

SemEval-2016 Task 2: Interpretable semantic textual similarity

, 2016
Comunicació presentada al 10th International Workshop on Semantic Evaluation (SemEval-2016), celebrat els dies 16 i 17 de juny de 2016 a San Diego, Califòrnia.The final goal of Interpretable Semantic Textual Similarity (iSTS) is to build systems that ...
Maritxalar, Montserrat, Aitor Gonzalez-Agirre, Inigo Lopez-Gazpio, Gonzalez Agirre, Aitor, Rigau Claramunt, German, Agirre, Eneko, Larraitz Uria, Montse Maritxalar, German Rigau, Uria, Larraitz, Eneko Agirre, Lopez-Gazpio, Iñigo   +11 more
core   +2 more sources

Semantic Relatedness and Similarity Reference Standards for Medical Terms

, 2018
1. MayoSRS.csv: A set of 101 medical concept pairs manually rater by medical coders for semantic relatedness. 2. MiniMayoSRS.csv: A subset of 29 medical concept pairs manually rater by medical coders for semantic relatedness with high inter-rater ...
Pakhomov, Serguei
core   +1 more source