Results 131 to 140 of about 33,849 (279)

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam   +7 more
wiley   +1 more source

Thermometric Based‐Microswimmers with Chemical and Optical Engines

open access: yesAdvanced Intelligent Systems, EarlyView.
Temperature sensing at small scales is typically performed using passive luminescent particles. Here, an alternative approach is demonstrated by integrating upconversion thermometry into self‐propelled microswimmers powered by chemical fuels or light. This strategy offers a step toward dynamic thermal sensing at the microscale, relevant to both lab‐on ...
João M. Gonçalves, Katherine Villa
wiley   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu   +6 more
wiley   +1 more source

Robot‐Assisted Doppler Optical Coherence Tomography for Intraoperative Evaluation of Microvascular Anastomoses

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li   +10 more
wiley   +1 more source

Scalable High‐Force Zipping Electrostatic Actuators

open access: yesAdvanced Intelligent Systems, EarlyView.
An electrostatic actuator architecture is presented that combines high energy density with forces and strokes suited for wearable soft robotics. By folding patterned thin films into a scalable honeycomb of zipping units, performance becomes tunable through series–parallel design, achieving over 40 N and 28 J/kg.
Fabio Caruso   +2 more
wiley   +1 more source

Dissipative Ytterbium gases

open access: yes, 2023
The present thesis deals with the theoretical characterisation of the lossy dynamics in many-body open quantum systems, with a particular focus on state-of-the-art cold-atom experiments. The main resulting contributions are twofold. First, concerning spinless bosonic gases, we investigate the effect of a harmonic confinement in the case of two-body ...
openaire   +1 more source

Element 70 – Ytterbium [PDF]

open access: yesAustralian Journal of Chemistry, 2019
Behrsing, Thomas   +2 more
openaire   +2 more sources

A Review on Magnesium Based Metal Hydrides for Thermal Energy Storage Systems

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The hydrogen storage in metal hydrides is an imminent, innovative, and environmentally beneficial approach that offers benefits for example, an ample amount of storage and elasticity in terms of thermodynamics necessary for hydrogen absorption and release.
Asif Nizam   +3 more
wiley   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang   +6 more
wiley   +1 more source

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