Breakthrough AI model predicts heat movement in materials 1,000,000 times faster than non-AI methods
By: John Loeffler
The new technique could find new materials that could greatly boost energy efficiency in global power grids and beyond. Updated:
John Loeffler is the Components Editor at TechRadar. He specializes in science and technology reporting, with a focus on computer science, industry news, hardware reviews, and the social impact of the tech industry. John has been featured in GamesRadar+, Space.com, and Interesting Engineering, among others.
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John Loeffler's articles are heavily focused on technology, specifically deals and promotions related to computer hardware, graphics cards, and Cyber Monday. Given this focus, he may be most receptive to pitches that provide exclusive insights into upcoming deals or discounts in the tech industry.
Considering his emphasis on reviews and promotional content, experts who can offer early access to new products or provide in-depth analysis of technological advancements might find success when reaching out for coverage.
As John does not have a specific geographic focus mentioned, it is important for sources to ensure that their pitches align with global relevance rather than being region-specific.
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