A New Algorithm Makes It Faster to Find the Shortest Paths

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

Forget algorithms, adoption is the real agentic AI revolution

Agentic AI isn’t just another automation tool, it’s a new way of automating. Its true potential lies in reimagining work at ...

Algorithm reveals 'magic sizes' for assembling programmable icosahedral shells at minimal cost

Over the past decade, experts in the field of nanotechnology and materials science have been trying to devise architectures ...
Psychology Today

The Path to Learning: Practice, Pause, Repeat, Empower

Research indicates that repetition and distributed practice are effective methods for strengthening memory and enhancing ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
JSTOR Daily

Numerical modeling of complex hydraulic fracture networks based on the discontinuous deformation analysis (DDA) method

Hydraulic fracturing is one of the most important technologies for shale gas production. Complex hydraulic fracture networks can be stimulated in shale reservoirs due to the existence of numerous ...
IEEE

A Novel Fast Numerical Algorithm for Computing the Dynamics of the Bubble in the Electric-Fluid Field

Abstract: Gas bubbles may appear in the oil commonly used for dielectric insulation. By the coupled effect of electric and fluid fields, the motion of the bubble will show a complex kinetic behavior.
IEEE

Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm

Abstract: Atmospheric turbulence can significantly impact the effectiveness of light detection and ranging (LiDAR) in long-range detection. A technique for wavefront correction, which is based on the ...
Frontiers

Research on the prediction method of wing structure noise based on the combination of conditional generative adversarial neural network and numerical methods

1 State Key Laboratory of Aerodynamics, Mianyang, Sichuan, China 2 School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China This paper presents a technique for predicting ...
Frontiers

Numerical stability assessment of a mining slope using the synthetic rock mass modeling approach and strength reduction technique

Structurally controlled slope failure in open-pit mining occurs when the shear stress acting on the geological structure exceeds its shear strength. Mining slope stability is an extremely important ...