Results 221 to 230 of about 1,129,007 (329)

Mitigation of harmonic distortion and voltage dips in electrical distribution networks [PDF]

, 2006
De Gussemé, Koen, Degroote, Lieven, Renders, Bert, Ryckaert, Wouter, Vandevelde, Lieven   +4 more
core   +1 more source

Infrasound sensitivity and harmonic distortion

, 2014
Boutin, Henri, Smith, John R., Wolfe, Joe   +2 more
openaire   +2 more sources

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Optimization design and research of an interior double-radial asymmetric permanent magnet and salient-pole electromagnetic hybrid excitation generator for vehicles. [PDF]

Sci Prog
Li C, Ma S, Wu Y, Gao Q, Zhang C, Bian H.   +5 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Probing hidden symmetry via nonlinear transport in an altermagnet candidate Ca₃Ru₂O₇. [PDF]

Nat Commun
Mali S, Zhao Y, Wang Y, Sarker S, Chen Y, Li Z, Zhu J, Liu Y, Gopalan V, Yan B, Mao Z.   +10 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
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

Differential geometry-based harmonic analysis of three-phase systems. [PDF]

Sci Rep
Sundriyal N, Thakur P, Dixit A, Gupta S, Kumar M.   +4 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Attention to speech modulates distortion product otoacoustic emissions evoked by speech-derived stimuli in humans. [PDF]

Front Neurosci
Steinebach J, Reichenbach T.
europepmc   +1 more source