Establishing a silicon wafer manufacturing plant requires an in-depth market study coupled with detailed knowledge of operational components such as production processes, sourcing of raw materials, ...

"We typically plan five years ahead. What you’re seeing today is the result of plans we put in motion half a decade ago" ...

Energy trading in industrial parks has great potential for reducing carbon emissions and lowering energy bills. This article proposes a safe multiagent deep reinforcement learning algorithm for ...

One of the most underappreciated uses of N-Heptane is in the field of precision manufacturing, particularly in electronics, ...

This article presents a novel neuro-fuzzy model, termed fuzzy recurrent stochastic configuration networks (F-RSCNs), for industrial data analytics. Unlike the original recurrent stochastic ...

Microfiber fabrication via wet-spinning of lyotropic liquid crystals (LCs) with anisotropic nanomaterials has gained increased attention due to the microfibers’ excellent physical/chemical properties ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

CleanTech Vanadium Mining Corp. is pleased to announce that, through its 100%-owned subsidiary US Fluorspar LLC , it has entered into a binding option to purchase agreement with an arms-length private ...

Microchips have quietly become one of the most strategic assets of our time. Control over them will increasingly determine ...

Quantum plasmonic biosensors enable self-illumination for real-time, label-free diagnostics with scalable point-of-care applications.

SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), a company that focuses on developing and selling Semiconductors, PKI, and Post-Quantum technology hardware and software product ...