Results 171 to 180 of about 846,838 (328)

A Data‐Centric Approach to Quantifying the Forward and Inverse Relationship Between Laser Powder Bed Fusion Process Parameters and as‐Built Surface Roughness of IN718 Parts

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley   +1 more source

Efficient Removal of Short‐Chain Perfluoroalkyl Substances by Cavity‐Directed Aggregation in a Molecular Cage Host

open access: yesAngewandte Chemie, EarlyView.
A molecular cage exhibits strong entropy‐driven encapsulation of perfluoroalkyl substances (PFAS), accommodating up to four short‐chain guests as anionic aggregates. Guided by these molecular‐level insights, a novel host‐in‐host adsorbent is developed: mesoporous silica doped with 1 wt% cage achieves >98% removal of short‐ and long‐chain PFAS with full
Caroline V. I. Andersson   +9 more
wiley   +2 more sources

Real‐Time Sampling‐Based Model Predictive Control Based on Reverse Kullback–Leibler Divergence and Its Adaptive Acceleration

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley   +1 more source

Oligomers mediate the spatial transmission of Aβ peptide aggregation. [PDF]

open access: yesCommun Chem
Peter Q   +7 more
europepmc   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

open access: yesAdvanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad   +4 more
wiley   +1 more source

Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu   +5 more
wiley   +1 more source

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