Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Compressed carbon dioxide (CO2) energy storage (CCES) has emerged as a promising large-scale energy storage technology, characterized by high energy density, moderate critical temperature, and ...

New discipline addresses gap between brand intent and AI-generated descriptions as 95% of B2B buyers plan to use ...

Many investors ask: can you hold multiple demat accounts in India? The answer is yes, and it’s completely legal. However, most people don’t understand the rules, tax consequences, or whether it ...

The lab-scale, near-white heterojunction solar cell uses nanoclay-based scattering layers combined with dielectric multilayer films to preserve power conversion efficiency while enhancing visual ...

JIANGMEN, GUANGDONG, CHINA, January 26, 2026 /EINPresswire.com/ -- As household product markets adapt to modern living, ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Achieving sub-second 3D printing, DISH combines wave-optics modeling and angular illumination to improve resolution and depth ...

What emerges is a broader issue I see repeatedly in enterprise AI programs: a context gap between what AI systems can ...