Results 251 to 260 of about 1,039,313 (306)
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Professional future expectations and mental health in university students: a psychosocial and environmental approach. [PDF]
Gaspar T +7 more
europepmc +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Gender equity and emotional labour in the workplace: an ethnographic study. [PDF]
Isirabahenda G +2 more
europepmc +1 more source
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Invasive observation of reactive systolic blood pressure responses to upper-arm cuff inflation. [PDF]
Morris LF +9 more
europepmc +1 more source
Efficacy, reliability, and patient satisfaction with Rigicon Infla10 X and Infla10 AX inflatable penile prostheses: a retrospective single-center analysis. [PDF]
Cetin B +6 more
europepmc +1 more source

