Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

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

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

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

Press releases in 2026 serve a broader purpose than announcement distribution...When structured correctly, they ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Few scientific ideas have leapt from philosophy seminars to dinner-table debates as quickly as the claim that our universe ...