Results 211 to 220 of about 427,708 (335)
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Stable Mg2+ dication stabilized only by weakly coordinating carborates was first prepared and structurally characterized as a soluble salt in organic solvents. Combined experimental and theoretical data provided valuable insights into its behavior/reactivity in solution.
Xuejuan Xu+7 more
wiley +2 more sources
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Prediction model for rutting of asphalt concrete pavement considering temperature influence
This study, based on Perzyna's visco-plastic theory, proposes a new elastic-viscoplastic constitutive model. This model accurately predicts the rutting deformation of asphalt concrete pavement under various temperatures and traffic load conditions ...
Wang Chuhong, Wang Zhichao
doaj
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo+3 more
wiley +1 more source
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
This work introduces random‐forest‐based interpretable generative inverse design (RIGID), a new single‐shot inverse design method for metamaterials using interpretable machine learning and Markov chain Monte Carlo sampling. Once trained on a small dataset, RIGID can estimate the likelihood of designs achieving target behaviors (e.g., wave‐based ...
Wei (Wayne) Chen+4 more
wiley +1 more source
An extension of the time–temperature superposition principle to non-linear viscoelastic solids
Robert Nevière
openalex +1 more source