Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

A study from Rice University, published in PRX Quantum, has found that energy transfers more quickly between molecular sites ...

Many applications—from drug discovery and diagnostics to cell engineering and gene modulation—require delivering biomolecules ...

Licensing microreactors challenges long-standing industry norms. Can the US NRC adopt new approaches to approve them by 2030?

Large Language Model (LLM) inference faces a fundamental challenge: the same hardware that excels at processing input prompts ...

As energy demand intensifies across data centers, industrial clusters, and electrification efforts, small modular reactors ...

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