Researchers from Zhejiang University and their collaborators have developed Qjump, a hybrid quantum-classical algorithm for ...

Automating NGS sample preparation to accelerate microbiome research Microbiome research often involves complex workflows and ...

Have you ever wished to drive microscopic matter along an arbitrarily tailored trajectory instead of just a circle? That's exactly what we set out to achieve.

Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

New test results support RZOLV as a potential breakthrough solution for complex gold-copper ores, with the potential to avoid ...

In loose tailings material, where traditional drilling methods struggle, sonic drilling provides accurate stratigraphy and ...

Discover how a common sock can enhance your vacuum's efficiency, helping you recover small items like seeds, screws, and even ...

The idea that modern humans inherited DNA from Neanderthal ancestors is one of the 21st century’s most celebrated discoveries ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Information transmission with structured light continues to advance in performance. In a study published in PhotoniX, researchers from Nanjing ...

Discover how rotational vaccination programs help poultry producers combat IBD and Newcastle disease resistance. Learn ...