Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

The primary work of an experimental model basin is the estimation, with reasonable accuracy, of the resistance and horse-power of full-sized ships from experiments with small and inexpensive models.

The real risk isn't in running robust tests; it’s in wasting money or cutting high-performing channels based on misleading ...

1. Existing Challenges in Ordering Vacuum Ovens 1. Diverse Product Models, Difficult Choices ...

Top U.S. cancer centers have launched a federated AI platform, letting models learn from patient data securely to accelerate ...

As policymakers, markets, and the public look to soil carbon sequestration as a key climate solution, new research led by Yale School of the Environment scientists warns that current methods for ...

Starting with the pioneering work of Laub and Purnell in the 1970s, gas chromatography (GC) and high performance liquid chromatography (HPLC) modeling has evolved into a key research area aimed at ...

A new study has scientifically confirmed that pianists can change piano timbre mid-performance through touch alone.

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

RS represented a major shift for firefighting tactics. David Hupp on how you can use it as a framework for organizational ...