Results 241 to 250 of about 716,263 (297)

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

A Female‐Locust‐Inspired Hybrid Soft‐Stiff Robotic Digger: Mimetics and Implications for Digging Efficiency

open access: yesAdvanced Intelligent Systems, EarlyView.
Female desert locusts dig underground to lay their eggs. They displace soil, rather than removing it, to create a tunnel. We analyze burrowing dynamics and 3D kinematics and design a locust‐inspired hybrid soft–stiff robot that reproduces this mechanism. The results show the natural strategy minimizes energy, whereas alternative patterns raise costs up
Shai Sonnenreich   +2 more
wiley   +1 more source

What are we learning with Yoga? Mapping the scientific literature on Yoga using a vector-text-mining approach. [PDF]

open access: yesPLoS One
Ieger-Raittz R   +8 more
europepmc   +1 more source

AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley   +1 more source

Growth of rehabilitation students in first and second years: A text mining approach. [PDF]

open access: yesFujita Med J
Xu Y   +7 more
europepmc   +1 more source

Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan   +8 more
wiley   +1 more source

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