Results 71 to 80 of about 55,506 (254)

Studying dawn-dusk asymmetries of Mercury's magnetotail using MHD-EPIC simulations

, 2019
MESSENGER has observed a lot of dawn-dusk asymmetries in Mercury's magnetotail, such as the asymmetries of the cross-tail current sheet thickness and the occurrence of flux ropes, dipolarization events and energetic electron injections.
Chen, Yuxi, Gombosi, Tamas, Jia, Xianzhe, Markidis, Stefano, Raines, Jim, Slavin, James, Sun, Weijie, Toth, Gabor   +7 more
core   +1 more source

Stochastic Theory of Relativistic Particles Moving in a Quantum Field: II. Scalar Abraham-Lorentz-Dirac-Langevin Equation, Radiation Reaction and Vacuum Fluctuations [PDF]

, 2000
We apply the open systems concept and the influence functional formalism introduced in Paper I to establish a stochastic theory of relativistic moving spinless particles in a quantum scalar field.
A. Campos, A. Campos, A. Campos, A. J. Leggett, A. Kent, A. Kent, A. Kent, A. O. Barut, A. O. Caldeira, A. O. Caldeira, A. O. Caldeira, A. Raval, B. L. Hu, B. L. Hu, B. L. Hu, B. L. Hu, B. L. Hu, B. L. Hu, B. L. Hu, B. S. DeWitt, C. Anastopoulos, C. Keifer, C. Kiefer, D. G. C. McKeon, D. J. O’Conner, E. Calzetta, E. Calzetta, E. Calzetta, E. Calzetta, E. Calzetta, E. J. Moniz, E. Joos, E. Moniz, F. Dowker, F. Dowker, F. E. Low, F. Haake, F. Rohrlich, F. V. Fischetti, G. Gour, G. N. Plass, G. W. Ford, G. W. Ford, G. W. Ford, G. W. Ford, G. W. Ford, G. W. Ford, G. Zhou, H. Callen, H. Dekker, H. F. Dowker, H. Grabert, H. Haken, H. Levine, H. Mori, J. B. Hartle, J. B. Hartle, J. J. Halliwell, J. J. Halliwell, J. Jalilian-Marian, J. P. Paz, J. Schwinger, J. Schwinger, J. Twamley, J. Ward, J. Wheeler, K. Wilson, L. D. Romero, L. Diósi, L. H. Ford, L. H. Ford, L. V. Keldysh, M. Gell-Mann, M. J. Schmidt, M. J. Strassler, N. V. Kampen, P. A. Anderson, P. A. Anderson, P. A. M. Dirac, P. M. V. B. Barone, P. W. Milonni, Philip R. Johnson, R. B. Griffiths, R. D. Jordan, R. Feynman, R. Martin, R. Omnés, R. Omnés, R. Omnés, R. Omnés, R. Omnés, R. P. Feynman, R. Venugopalan, T. A. Brun, T. A. Brun, T. A. Brun, V. Hakim, V. Hakim, V. Krivitskii, W. G. Unruh, W. H. Zurek, W. H. Zurek, W. H. Zurek, Y. Takahashi, Ya. Zel’dovich, Z. B. Su   +105 more
core   +2 more sources

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +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

Numerical Simulation of Water Flow through a Nano-Hydraulic Turbine of Waterfall-Type by Particle Method

International Journal of Rotating Machinery, 2013
This study simulates the flow through an impulse-type small-scale hydraulic turbine utilizing a waterfall of extra-low head. The two-dimensional Moving Particle Semi-implicit (MPS) method is employed for the simulation.
Tomomi Uchiyama, Haruki Fukuhara, Shouichiro Iio, Toshihiko Ikeda   +3 more
doaj   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Investigation of hydraulic jump by using the Moving Particle Semi-Implicit method

Indonesian Journal of Physics, 2023
Investigation of hydraulic jump is necessary to provide the required data in hydraulic structures. Simulations are an alternative to experiments for providing data. The objective of this modeling is to examine the impact of the reservoir level on the height after the jump and the distance of the jump from the front of the exhaust hole.
openaire   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Numerical Simulation for Meniscus Bridge Formation and Breakage

Tribology Online, 2009
For mechanical devices in micro or nanometer scale, interactions between surfaces have become very important. When two surfaces approach each other, in the presence of meniscus bridges by liquid film on the surface or condensed water from humid air ...
Kentaro Tanaka, Fumihiko Asami, Katsumi Iwamoto   +2 more
doaj   +1 more source

Research on Splash Lubrication Characteristics of the Planetary Gear Train Based on the MPS Method

Jixie chuandong, 2023
In order to analyze the lubrication characteristics of the planetary gear transmission of shield main drive reducers, a simulation model of splash lubrication of the single-stage planetary gear train is established using the moving particle semi-implicit
Shi Lubing, Chen Huixiao, Yan Shidang, Wang Jun, Ding Haohao, Pei Bang, Liu Zhongming, Wang Wenjian   +7 more
doaj