A new AI model generates realistic synthetic microscope images of atoms, providing scientists with reliable training data to accelerate materials research and atomic scale analysis.

Metal-organic (MO) precursors are the chemical building blocks at the heart of atomically precise complex oxide materials.

Kaitlyn Drum reviews "Atomic Habits" by James Clear, highlighting how small, consistent changes and identity-based habits can ...

Plutonium has captured the attention of scientists since its discovery in the early 1940s. This enigmatic element has an ...

While Russia’s economic performance has been lackluster as its war economy struggles to underpin growth, a clear bright spot ...

Newcleo, a European developer of advanced nuclear reactors, and the Japanese Atomic Energy Agency (JAEA) have signed a ...

Scientists have created an artificial intelligence tool called SCIGEN that can potentially speed up the hunt for novel ...

Union Minister of State (Independent Charge) for Science & Technology, Earth Sciences, MoS PMO, Department of Atomic Energy, ...

Scientists create microscopic gears powered by light, a breakthrough for chip-scale machines—promising, but still far from ...

Atomic Canyon and INL have developed an open-source AI benchmark suite for nuclear applications to ensure safety, compliance, and reliability.

But Luis Jauregui’s work, which might power quantum computers needed for long-range space exploration, also shows how basic ...

A Quarter Century of Innovation and U.S. Manufacturing Catrike is celebrating its 25th Anniversary in 2025. Catrike originated as a one-person operation focused on engineering-driven performance and ...