Researchers have published a comprehensive review of configuration and parameter design for electrified propulsion systems in ...

AI has shifted from a supportive technology into the core engine of digital product development. In my project experience ...

A famous Vietnamese mathematician has said that current math teaching and learning reveal two major bottlenecks: curricula ...

Traditional electrolyte research has long centered on the solvation behavior of lithium-ions (cation), focusing on improving ...

Advances in artificial intelligence promise to help chemical engineers discover complex new materials. These materials could ...

Why process insight—not just liner design—is becoming the key to improving comminution performance For decades, improvements ...

Jabil and HSE have formed a strategic collaboration to streamline the design, development, and scalable production of ...

Quantum computing future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...

At SAE World Congress 2026, Luminary, the Physics AI company, today announced SHIFT-Crash, the first Physics AI model that predicts full-vehicle crash response, including deformation and stress fields ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

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