Results 171 to 180 of about 423,487 (329)
Abundant different types of soliton solutions for fractional modified KdV equation using auxiliary equation method. [PDF]
Hussain A +5 more
europepmc +1 more source
Instabilities in nonlinear internal waves on the Washington continental shelf
Shuang Zhang, M. Alford
semanticscholar +1 more source
Fe‐Based Nanocrystalline Magnetic Shielding Cylinder with Subfemtotesla‐Level Magnetic Noise
Shields with low magnetic noise are achieved by integrating Fe‐based nanocrystalline magnetic shielding cylinders into shielding systems based on μ‐metal. Benefiting from high permeability and low loss factor, Fe‐based nanocrystalline magnetic shielding cylinders effectively suppress magnetic noise. Notably, the magnetic shielding cylinder with the ten‐
Peipei Shen +13 more
wiley +1 more source
Numerical study on the load characteristics of deep submarine rescue vehicle under the internal solitary waves. [PDF]
Zhong H +6 more
europepmc +1 more source
Cartilage‐inspired supramolecular polyurethane–urea (PU‐BAMB) elastomers are developed by integrating hierarchical hydrogen bonding and π–π stacking interactions within a dynamically reconfigurable network. This synergistic supramolecular architecture overcomes the intrinsic trade‐off between rigidity and recoverability, imparting exceptional toughness,
Rou‐Han Lai +14 more
wiley +1 more source
Analytical study of fractional solitons in three dimensional nonlinear evolution equation within fluid environments. [PDF]
Ramadan ME +3 more
europepmc +1 more source
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source
Experimental Investigation of One-Way Lamb and SH Mixing Method in Composite Laminates. [PDF]
Xie S, Zhao Y, Liu Y.
europepmc +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Deep Learning-Assisted Porosity Assessment for Additive Manufacturing Components Using Ultrasonic Coda Waves. [PDF]
Yuan X, Chen X, Wen F.
europepmc +1 more source

