Results 91 to 100 of about 32,603 (223)
Based on experimental results and theoretical analysis, an established rock damage accumulation model that comprehensively considers the preapplied static load, impact peak value, impact frequency, and impact times. Abstract To study the rock damage mechanism under high static loading and superimposed medium strain rate cyclic impact loading, a series ...
Wei Wang +6 more
wiley +1 more source
Performance limits of information engines
We review recent studies of a colloidal information engine that consists of a bead in water and held by an optical trap. The bead is ratcheted upward without any apparent external work, by taking advantage of favorable thermal fluctuations.
Johan du Buisson +2 more
doaj +1 more source
Evolutionary dynamics, evolutionary forces, and robustness: A nonequilibrium statistical mechanics perspective. [PDF]
Rao R, Leibler S.
europepmc +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
Reduced Models of Point Vortex Systems
Nonequilibrium statistical models of point vortex systems are constructed using an optimal closure method, and these models are employed to approximate the relaxation toward equilibrium of systems governed by the two-dimensional Euler equations, as well ...
Jonathan Maack, Bruce Turkington
doaj +1 more source
Superstatistical approach to air pollution statistics
Air pollution by nitrogen oxides (NO_{x}) is a major concern in large cities as it has severe adverse health effects. However, the statistical properties of air pollutants are not fully understood.
Griffin Williams +2 more
doaj +1 more source
AI‐Driven Precision Annealing for High Performance Fe‐Based Amorphous Alloys
The four stages of the research process are as follows: First, data is collected and a database is constructed. This is followed by feature selection and analysis, then the establishment of machine learning models, and finally formulation design and preparation.
Yichuan Tang +13 more
wiley +1 more source
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang +11 more
wiley +1 more source
Thermodynamics: What One Needs to Know
Thermodynamics is the foundation of many of the topics of interest in the religion‐science dialogue. Here a nonmathematical outline of the principles of thermodynamics is presented, providing a historical and conceptually understandable development that
doaj +2 more sources
Organotrifluoroborate‐Driven Phase Stabilization and Defect Suppression for Wide‐Bandgap Perovskites
A multifunctional additive, trifluoro(pyrrolidin‐1‐ium‐1‐ylmethyl) borate (PyMe‐BF3), leverages B‐F coordination and N‐H hydrogen bonding to passivate undercoordinated Pb2+, fill halide vacancies, and suppress phase segregation. Its preferential enrichment at the buried interface targets the defect‐rich region, enabling simultaneous wide‐bandgap ...
Suzhen Liu +11 more
wiley +1 more source

