Results 121 to 130 of about 47,215 (262)
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Biological conservation law as an emerging functionality in dynamical neuronal networks. [PDF]
Proc Natl Acad Sci U S A, 2017 Podobnik B +5 more
europepmc +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.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
Conservation law for self-paced movements. [PDF]
Proc Natl Acad Sci U S A, 2016 Huh D, Sejnowski TJ.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Advanced Intelligent Systems, EarlyView.Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility
Advanced Intelligent Systems, EarlyView.This study presents a diatom‐inspired robotic system that explores group coordination through limited physical interactions. The researchers tune groups of Barbots, simple robotic agents that possess neither individual mobility nor explicit communication capabilities, to achieve complex and adaptive collaboration based on environmental light.
Tianyi Hu +4 more
wiley +1 more source
Linearized high-order and convergent scheme for the Kuramoto-Sivashinsky equation
Electronic Journal of Differential EquationsIn this article, we provide a linearized compact scheme for the Kuramoto-Sivashinsky equation with the periodic boundary condition. By applying the double reduction order method and a fourth-order compact operator, the scheme achieves second-order ...
Yiran Zhang, Guohui Wang, Yuanfeng Jin
doaj
Laser power stabilization using conservation law in acoustic optic modulator. [PDF]
Sci RepLi E, Ma Q, Wang W, Du B, Liu G.
europepmc +1 more source