The hottest Materials science Substack posts right now

And their main takeaways
Category
Top Science Topics
Construction Physics 31526 implied HN points 08 Nov 24
  1. Spruce Pine, North Carolina, provides a lot of the high-purity quartz used in making silicon for semiconductors. This quartz is important because it helps produce the pure silicon necessary for making chips and solar panels.
  2. While Spruce Pine quartz is significant, it isn't the only option available. There are other sources and potential substitutes, but they may not be as good or as cost-effective.
  3. The semiconductor industry is exploring new materials for crucibles and increasing the production of quartz elsewhere, which could reduce reliance on Spruce Pine in the future. This means a supply disruption wouldn't completely stop semiconductor manufacturing.
Intercalation Station 139 implied HN points 16 Oct 24
  1. Graphite is a key material for batteries, especially in electric vehicles, and there's been a shift from natural to synthetic graphite due to supply risks.
  2. China dominates the graphite supply, which creates concerns about over-reliance and geopolitical tensions, leading to increased global interest in local production.
  3. Synthetic graphite can be made from waste materials and has the potential to reduce environmental impacts if produced using renewable energy sources.
Everything Is Amazing 488 implied HN points 24 Mar 23
  1. The way chameleons change color can inspire future color-changing technology for surfaces and fabrics.
  2. Current advancements in color-changing materials like Fabrican and PhotoChromeleon show promise for future fashion and architectural applications.
  3. The deep meanings and social implications of colors in fashion and pigmentation mean that changing color technology may have complex impacts on society.
Bzogramming 53 implied HN points 01 Aug 23
  1. There is potential for room-temperature superconductors with simple materials like lead, phosphate, and copper.
  2. A shift back to innovation in physical technologies, like hyperspectral imaging and geometric folding algorithms, might lead to significant advancements.
  3. A reemphasis on traditional engineering fields, such as cars and rocket engines, is essential for future innovations outside of software.
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Root Nodes 1 HN point 02 Apr 23
  1. Foundation models are being explored for predicting physical properties of atoms and molecules.
  2. Applying generative modeling to scientific computing, particularly in materials science, has the potential to revolutionize the field.
  3. The success of foundation models in materials science hinges on finding the right architecture, generative modeling task, and ensuring real-world applicability.