A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
Advanced Intelligent Discovery, EarlyView.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
Effects of strong parametric excitation on cantilever beam: non-perturbative approach. [PDF]
Sci RepMoatimid GM, Amer TS, Elagamy K.
europepmc +1 more source
An Intelligent Model Predictive Control Framework for Low-Frequency Seismic Vibration Suppression in Active Isolation Systems. [PDF]
Sensors (Basel)Fan Q +5 more
europepmc +1 more source
Early Anomaly Pre-Warning of Buried Pipelines via Dynamic Acceleration Signals: An ICEEMDAN-LSTM Framework. [PDF]
Sensors (Basel)Guo YQ, Zhu ZX, Xia ZH, Zang XL, Li JB.
europepmc +1 more source
A Spectral Confocal Measurement Method for High-Aspect-Ratio Deep Holes Based on Stepped Ring Gauge and Hierarchical Error Compensation. [PDF]
Sensors (Basel)Liu Y, Wang G, Yu D, Du H.
europepmc +1 more source
Mo doping-induced band gap narrowing and improved photocatalytic efficiency of La₀.₉Sr₁.₁CoO₄ layered perovskites for organic dye degradation. [PDF]
Sci RepGhorbani-Moghadam T +3 more
europepmc +1 more source
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