Using X-ray techniques, scientists will study tiny specks of asteroid 162173 Ryugu, collected by a Japanese space mission. Learning more about how this asteroid formed will further our understanding of the solar system, including Earth’s formation.
By embedding machine learning into the design process, ML-GA dramatically speeds up computer-aided virtual prototyping, shrinking the product development phase from a few months to a few days while also bringing down computational costs.
It’s been a fruitful inaugural year for the Q-NEXT quantum research center, with the start of foundry construction, the launch of a key R&D roadmap, and new science results that will lead to next-generation quantum technologies for science and society.
Argonne’s Greenhouse gases, Regulated Emissions, and Energy use in Technologies Model (GREET), using data provided by Gevo, is expected to yield results about its carbon footprint within a few months.
