Results 191 to 200 of about 380,610 (335)

Comparison of the Hydrodynamic Profile Between Competitive Triathletes and Swimmers. [PDF]

J Funct Morphol Kinesiol
Assíria-Costa L, Machado ML, Santos CC, Costa MJ.   +3 more
europepmc   +1 more source

Atmospheric drag force on LAPAN-TUBSAT during geomagnetic storm 2015

, 2019
N Pratiwi, Muhammad Isnaenda Ikhsan
openalex   +1 more source

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Estimating dynamic behavior of trawl codend based on machine learning models. [PDF]

Sci Rep
Liu W, Min M, Nyatchouba BTN, Wang Z, Liu Y, Zhang X, Wang L.   +6 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Magnetic Effect on the Performance of a Four-Frequency Differential Laser Gyroscope. [PDF]

Sensors (Basel)
Wang G, Li J.
europepmc   +1 more source

Drag force of Anisotropic plasma at finite $U(1)$ chemical potential [PDF]

, 2014
Long Cheng, Xian-Hui Ge, Shang-Yu Wu
openalex   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

A global dataset of impact forces from submarine landslides on pipelines and cables. [PDF]

Sci Data
Liu X, Wei S, Meng X, Xie B, Chen X, Guo X.   +5 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source