Results 91 to 100 of about 2,583,502 (287)
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
Modal analysis is a standard tool for evaluating the dynamic behaviour of machine tools. Since the dynamic behaviour can differ for operating and analysis conditions, the use of operational modal analysis for machine tools has been researched over the ...
Willy Reichert +4 more
doaj +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Comparative Analysis of Identification Methods for Mechanical Dynamics of Large-Scale Wind Turbine
With increasing size and flexibility of modern grid-connected wind turbines, advanced control algorithms are urgently needed, especially for multi-degree-of-freedom control of blade pitches and sizable rotor.
Jingchun Chu +4 more
doaj +1 more source
The method presented in this paper provides a practical sensorless solution for estimating both contact force and contact location using only standard joint encoders and an available robot dynamic model. By reformulating the contact estimation problem using a single scalar equivalent contact parameter, the approach enables fast and robust computation ...
Thanh‐Quan Ta, Shyh‐Leh Chen
wiley +1 more source
Subspace identification methods applied to adaptive optics
The goal of this paper is to describe one application of the subspaceidentification methods to an adaptive optics system. Adaptive optics systems are extensively used in astronomy to obtain high resolution pictures of stars and galaxies with ground ...
MURADORE, Riccardo, E. Fedrigo
core +2 more sources
Multivariate Identification via Linear Projection of Eigenvectors
A data-driven system identification algorithm that utilizes eigenvectors is presented. The eigenvectors are extracted from a unified solution space comprising both input and output subspaces. To expand the input subspace, a higher-order subspace from the
Dong-Hwan Kim
doaj +1 more source
DENSITY CONSCIOUS SUBSPACE CLUSTERING USING ITL DATA STRUCTURE [PDF]
Most of the subspace clustering algorithms uses monotonicity property to generate higher dimensional subspaces. But this property is not applicable here since different subspace cardinalities have varying densities i.e., if a k-dimensional unit is dense,
C. Palanisamy, S. Selvan
doaj
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source

