Researchers developed a nonlinear viscoelastic-plastic model to accurately forecast mining-induced subsidence, ensuring safer infrastructure construction.

The massive simulation ran on the Perlmutter supercomputer at the National Energy Research Scientific Computing Center (NERSC ...

A broad association of researchers from across Lawrence Berkeley National Laboratory (Berkeley Lab) and the University of ...

Soil moisture is a key factor driving the Earth's water and carbon cycles, but large-scale monitoring has long been hindered ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO' or the 'Company'), a technology service provider, has launched a groundbreaking technological achievement-a multi-class classification method based on ...

Researchers have developed a high-fidelity 13-degree-of-freedom nonlinear model and an intelligent algorithm for wind turbine dynamic analysis. This ...

The lithium-ion battery is a new energy storage device widely employed in various fields such as mobile power, electric vehicles, unmanned aerial ...

Odyssey Math Tuition Launches Secondary 3 Online Math Tuition Elearning Courses in Singapore, Aspiring to Become Singapore's ...

Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and ...

Researchers found that the Gaussian Process Regression (GPR) machine learning model is the most reliable tool for forecasting ...

Computational Fluid Dynamics, Carotid Artery Stenosis, Hemodynamics, Pressure Distribution, Velocity Profile Share and Cite: ...