Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

LEMONT, Ill.--(BUSINESS WIRE)--Batteries, like humans, require medicine to function at their best. In battery technology, this medicine comes in the form of electrolyte additives, which enhance ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Additive manufacturing (AM), often referred to as three-dimensional (3D) printing, has revolutionised modern production by enabling the layer-by-layer fabrication of parts with intricate geometries ...

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...