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Machine learning-based design enables more efficient wireless power transfer
Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or ...
Researchers at Lawrence Livermore National Laboratory (LLNL) say they have reached a milestone in combining AI with fusion ...
Researchers at Lawrence Livermore National Laboratory (LLNL) have reached a milestone in combining AI with fusion target ...
The construction industry is in the midst of a profound transformation. Traditionally slow to digitize, it is now embracing ...
Explore the groundbreaking capabilities of Google’s Gemini Deep Think AI and the urgent need for safeguards against misuse.
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US nuclear weapons and materials research to be run by AI-driven fusion design
Scientists at Lawrence Livermore National Laboratory (LLNL) have achieved a significant breakthrough in fusion ...
A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...
Researchers developed a fully numerical design method using differential equations and genetic algorithms to optimize WPT systems. This approach ensures stable output voltage, high efficiency, and ...
A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science ...
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