To improve carbon recycling and reduce emissions, researchers at Science Tokyo developed iron-substituted calcium titanate ...
Perovskite solar cells have gained considerable momentum in the search for cheaper, more efficient solar energy. However, the ...
Arcee AI is one of the first industry partners supporting the new Genesis MissionA DOE-hosted contribution portal is now open, with first-round ...
Each week, we bring you a quick and easy experiment you can do at home to explore a concept in science. This week, we build a ...
Under30CEO on MSN
AI materials discovery: CuspAI raises $450M
AI materials discovery just drew a $450M Series B for CuspAI at a $2.6B valuation. Here is what the raise signals for ...
As the AI revolution accelerates, semiconductors have become the most critical hardware enabling the compute, memory, and ...
Organic light-emitting diodes (OLEDs) have become a standard in modern devices with incredible contrast and sleek designs.
This study presents a moisture-driven electric generator made from recycled materials, effectively harnessing ambient ...
Sila's fresh $300 million round will help it make enough of its silicon-carbon anode material to power more than 100,000 EVs.
Researchers developed a hybrid generative AI framework that designs 3D energetic material grain structures to match ...
LG CNS will join a global AI consortium for advanced-materials development — anchored by tech giants including Nvidia and ...
Tech Xplore on MSN
AI extracts hidden material rules from microscopic data to predict large-scale behavior
Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn the large-scale behavior of complex materials from microscopic data. By ...
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