Results 131 to 140 of about 26,192 (266)

Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion

Advanced Intelligent Systems, EarlyView.
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari, Yeji Lee, Pranathi Adluri, Daniil Karnaushenko, Dmitriy D. Karnaushenko, John S. McCaskill, Oliver G. Schmidt   +6 more
wiley   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

On machine learning based QSPR analysis of amphetamine derivatives using regression models. [PDF]

Sci Rep
Hanif MF, Hashem AF, Hussain M, Fiidow OA.   +3 more
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

A fuzzy graph theoretic approach to face shape recognition using cubic outerplanar structures. [PDF]

Sci Rep
Jaisankar D, Ramalingam S, Zegeye GB.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Graphs with disjoint dominating and paired-dominating sets

Open Mathematics, 2010
Southey Justin, Henning Michael
doaj   +1 more source

Enhancing bioinformatics engineering by utilizing graph therapeutic properties for clinically approved antitoxin drugs in zoonotic diseases. [PDF]

Sci Rep
Imran M, Aqib M, Malik MA, Jutt S.
europepmc   +1 more source

MOFs as New Catalytic Platform for Covalent Adaptable Networks: Catalysis Meets Reinforcement

Angewandte Chemie International Edition, EarlyView.
A novel heterogeneous catalytic platform for covalent adaptable networks (CANs) is introduced by immobilizing bases of low molecular weight on metal‐organic frameworks (MOFs). The obtained catalyst UiO‐TBD benefits from the high loading capacity of the MOF and demonstrates a higher thermal stability relative to free TBD.
Simon Renner, Roman Korotkov, Inge Mühlbacher, Markus Alfreider, Daniel Kiener, Johannes Liebhart, Oskar Paris, Christian Slugovc, Sandra Schlögl, Elisabeth Rossegger   +9 more
wiley   +1 more source

Graph-theoretic analyses of saturation fraction of repulsive dopants in solid solutions. [PDF]

Sci Rep
Kubo A, Abe Y.
europepmc   +1 more source