None of these three stocks are conventionally cheap, but they all have huge growth potential from megatrends already in place ...

A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

Engineering researchers at Lawrence Livermore National Laboratory (LLNL) have achieved breakthroughs in multi-material ...

The integration of quantum chemistry and machine learning in this study accelerates the discovery of photochromic materials, ...

BEV manufacturer Li Auto announced that it has partnered with automotive components supplier Ianlon Technology to set up an R&D centre in Changzhou.

Lehigh University researchers are pioneering AI-driven advancements in materials science with an $800,000 grant from the U.S. Department of Energy. Led by Dr. Chinedu Ekuma, the project focuses on ...

In a groundbreaking collaboration, Porsche and Michelin have unveiled the Michelin Pilot Sport S 5, a innovative tire ...

Chiplet design engineers have complex new considerations compared to PCB concepts. Maintaining the quality and reliability of ...

The system's directed energy deposition technology has proven particularly effective for generating test specimens that precisely represent the final alloy’s microstructural features. Scientists were ...

This biomimetic robot, powered by bacteria in water, can collect water temperature, pollution levels, biological and craft ...

Outdoor adventures demand versatile, durable, and reliable gear that can adapt to unpredictable weather conditions. Among the ...

Rigorous testing is still required, but an abstraction layer can significantly reduce errors in the fab while optimizing ...