ABSTRACT: Ab initio quantum chemistry aims to predict molecular properties solely from fundamental physical constants and system composition, without empirical parameterization. This review elucidates ...

Quantum physics overturned classical ideas by showing that matter behaves very differently at the smallest scales. One of its most surprising discoveries was wave-particle duality, the idea that ...

Abstract: This paper presents a multi-particle parallel manipulation optoelectronic tweezers system integrated with computer vision technology, enabling the parallel and precise manipulation of dozens ...

In the future, quantum computers are anticipated to solve problems once thought unsolvable, from predicting the course of chemical reactions to producing highly reliable weather forecasts. For now, ...

Abstract: The non-contact acoustic manipulation of particle clusters has great potential in various fields. However, current acoustic manipulation technologies for particle cluster manipulation ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

Control the scaling and expansion of the particle group by detecting the tension and closing of both hands through the camera. Provide panels that can choose hearts ...

Early version of GPU-accelerated 2D particle simulation built in Unity 6 using Compute Shaders. It supports physics-based movement, attractors, dynamic sand-like interactions, and real-time particle ...

Dynamic image analysis involves the continuous streaming of particles through a measurement volume controlled by a camera. This free movement results in random orientations of the particles, allowing ...

Laser diffraction is recognized as the most reliable light scattering method for analyzing particle size distributions across a range from submicron to millimeter particles. The diffraction set-up ...