Results 61 to 70 of about 29,850 (238)
Theorietage der Gesellschaft für Informatik in Speyer 2015—Special Issue
Algorithms, 2016 We briefly report on the national workshops on Formal Languages and Automata Theory as well as on Algorithms and Complexity Theory held in early Autumn, 2015.
Henning Fernau
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Advanced Intelligent Discovery, EarlyView.Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
ULTRA: Universal Grammar as a Universal Parser
Frontiers in Psychology, 2018 A central concern of generative grammar is the relationship between hierarchy and word order, traditionally understood as two dimensions of a single syntactic representation. A related concern is directionality in the grammar.
David P. Medeiros
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Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Analysis of Azari Language based on Parsing using Link Gram
Iranian Journal of Information Processing & Management, 2014 There are different classes of theories for the natural lanuguage syntactic parsing problem and for creating the related grammars .This paper presents a syntactic grammar developed in the link grammar formalism for Turkish which is an agglutinative ...
Maryam Arabzadeh, Seyed Mehdi Araghi
doaj
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Angewandte Chemie, EarlyView.A large variety of chemistry‐based ubiquitin probes have been developed. ABSTRACT Ubiquitin (Ub) and ubiquitin‐like proteins (Ubls) orchestrate diverse cellular processes through reversible post‐translational modification of target proteins. Their conjugation is governed by a cascade of E1 activating, E2 conjugating, and E3 ligating enzymes, while ...
Saibal Chanda, Wenshe Ray Liu
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Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
Angewandte Chemie, EarlyView.AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang +7 more
wiley +2 more sources