Detailed morphology and size data for tungsten metal powders supports improved control of powder characteristics and manufacturing performance.

Real-time dynamic image analysis delivers detailed concentration measurements critical for distinguishing stem cell populations from debris.

Detailed particle morphology supports better assessment of lost circulation materials used in oil and gas drilling to reduce fluid loss risks.

Collaboration aims to create the first-ever sublingual alprazolam powder, addressing the need for faster-acting anxiety ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

The Sierra Club and Southern Environmental Law Center are suing over state regulators’ approval of new gas turbines at Plant Bowen, citing concerns about worsening air quality.

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

The NRC on March 4 authorized a construction permit for TerraPower's Kemmerer Power Station Unit 1—the first commercial ...

A team of physicists used ChatGPT to help crack a long-standing problem in quantum field theory, producing a new closed-form expression for single-minus gluon tree amplitudes that specialists had ...

Collaboration aims to create the first-ever sublingual alprazolam powder, addressing the need for faster-acting anxiety medication.Phase 1 clinical trial of the patent-pending, rapid-onset formulation ...

Reliable sample preparation is crucial in mining for accurate analysis, regulatory compliance, and efficient resource extraction from heterogeneous materials.

The U.S. Nuclear Regulatory Commission (NRC) has proposed the first dedicated federal licensing framework for commercial ...