Results 81 to 90 of about 305,625 (281)
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Marital Investments and Community Involvement: A Test of Coser’s Greedy Marriage Thesis [PDF]
, 2016 It is customary to test Coser’s greedy marriage thesis by comparing marital status groups. We propose a new approach that uses the marital dyad as the unit of analysis and examine whether investments in the marital relationship discourage community ...
Dew, Jeffrey, Kim, Young-Il
core
Advanced Functional Materials, EarlyView.Developing recyclable materials for magnetic robotics that combine rapid response and self‐healing properties is challenging. Hence, this study focuses on the integration of magnetothermal nanoparticles into a dynamic sorbitol‐based vitrimer, a recyclable composite capable of remote actuation and self‐healing by magnetic heating.
Maria Weißpflog +3 more
wiley +1 more source
Greedy algorithms: a review and open problems
Journal of Inequalities and ApplicationsGreedy algorithms are a fundamental class of mathematics and computer science algorithms, defined by their iterative approach of making locally optimal decisions to approximate global optima. In this review, we focus on two greedy algorithms.
Andrea García
doaj +1 more source
Lebesgue constants for Chebyshev thresholding greedy algorithms
Journal of Inequalities and Applications, 2018 We investigate the efficiency of Chebyshev Thresholding Greedy Algorithm (CTGA) for an n-term approximation with respect to general bases in a Banach space. We show that the convergence property of CTGA is better than TGA for non-quasi-greedy bases. Then
Chunfang Shao, Peixin Ye
doaj +1 more source
Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks [PDF]
, 1998 We present a greedy-based approach to construct an efficient single hidden layer neural network with the ReLU activation that approximates a target function.
Dereventsov, Anton +2 more
core +4 more sources
Advanced Functional Materials, EarlyView.Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
HEDV-Greedy: An Advanced Algorithm for Influence Maximization in Hypergraphs
MathematicsInfluence maximization (IM) has shown wide applicability in various fields over the past few decades, e.g., viral marketing, rumor control, and prevention of infectious diseases.
Haosen Wang, Qingtao Pan, Jun Tang
doaj +1 more source
A Non‐Reciprocal Architected Porous Medium
Advanced Functional Materials, EarlyView.ABSTRACT In several fluid flow, energy‐dumping, and energy‐harvesting applications, a dominant flow direction or dominant resistance direction is desirable. In this study, we propose a simple modular geometry that doubles flow resistance in one direction relative to the opposite direction, while maintaining laminar viscous flow.
Clément Vezies +2 more
wiley +1 more source
Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review
Advanced Healthcare Materials, EarlyView.Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro +8 more
wiley +1 more source