Materials science
Coverage of Materials science in the Nexus archive.
- Nobel-winning materials scientist Omar Yaghi joins China’s Tsinghua University from the US
Omar Yaghi, a Nobel Prize-winning materials scientist, has joined Tsinghua University in China to lead an AI-driven research center. The center aims to use AI to transform material design and reduce development cycles significantly.
- LSU, Hyundai Steel forge a research partnership tied to $5.8B Ascension Parish mill
LSU and Hyundai Steel have formed a research partnership to support Hyundai's $5.8 billion steel mill in Ascension Parish, focusing on advancements in metallurgy, materials science, energy, robotics, automation, and environmental engineering. The agreement aims to build a skilled workforce pipeline and facilitate long-term applied research opportunities for LSU while providing Hyundai access to research infrastructure and innovation.
- When high jewellery becomes strategy
Richard Mille's RM HJ-02 Automatic Tourbillon highlights the shift of haute joaillerie from decorative element to a strategic force in contemporary watchmaking, emphasizing its convergence with technicity, materials science, and artistic expression.
- Atomically precise mechanosynthesis of carbon structures on hydrogenated Silicon
A study published on arXiv details the development of atomically precise mechanosynthesis to construct carbon structures on hydrogenated silicon surfaces, advancing nanoscale fabrication techniques. The research highlights potential applications in materials science and nanotechnology.
- Scientists use light to create tiny molecules that could transform medicine
Researchers have developed a light-driven method to create tiny molecules called housane, which are valuable for drug development and materials science. These molecules are difficult to produce due to their intense internal strain. The team used photocatalysis to guide the reaction into a clean pathway.
- Nvidia slaps forehead: I know what quantum is missing - it's AI!
Nvidia claims its AI models can enhance the reliability of quantum computers, which are promising for materials science, logistics, and financial modeling. The article highlights Nvidia's belief that AI can address quantum computing's current reliability issues.