Complexity Analysis of Bubble Plumes in Power Law Fluids Based on Chaos Theory
ABSTRACT In order to reveal the complexity of the internal flow of bubble plume in power law fluid, the flow characteristics and chaotic characteristics of plume are studied by experiment and theory. The chaotic characteristic parameters (correlation dimension D, K entropy, and Lyapunov exponent λ) of gas velocity under different superficial gas ...
Xin Dong +6 more
wiley +1 more source
Molecular and mechanical insights into gecko seta adhesion: multiscale simulations combining molecular dynamics and the finite element method. [PDF]
Jain Y +4 more
europepmc +1 more source
Controlled delignification pretreatment tailors the hierarchical porous structure of wood to improve ion transport and create abundant anchoring sites for Ni/Ni(OH)2 catalysts. The optimized electrode shows enhanced mass transfer, increased active site density, and superior overall water‐splitting performance, demonstrating delignification as an ...
Ting He +15 more
wiley +1 more source
Concurrent Multiscale Modelling of Thermomechanical Responses of Heterogeneous Partition Walls. [PDF]
Wang S +6 more
europepmc +1 more source
Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang +14 more
wiley +1 more source
Graded phononic metamaterials based on scalable microfabrication and design. [PDF]
Dorn C +3 more
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
A Multiscale Modeling Approach for the Prediction of the Mechanical Properties of C/SiC Composites Fabricated by the CVI Process. [PDF]
Kil T +6 more
europepmc +1 more source
Exploring wave propagation behaviors in rock: A grain‐based perspective on mineral structures
This study investigates wave propagation in rock at the grain scale using a grain‐based model, revealing that mineral elastic modulus significantly influences wave attenuation while grain size and distribution have limited effects. A novel peak particle velocity attenuation prediction model is proposed and validated for grain‐scale wave propagation ...
Zhiyi Liao +3 more
wiley +1 more source

