(a) The workflow contains three parts: ML model selection to calculate the expected improvement (EI) values of the target properties for a given alloy; the non-dominated sorting genetic algorithm ...

Scientists pioneer a new machine learning model for corrosion-resistant alloy design. In a world where annual economic losses from corrosion surpass 2.5 trillion US Dollars, the quest for ...

In a world of 8 billion people, there's one thing that makes each of us unique: our fingerprints. A variety of genetic and environmental factors create tiny variations in the skin's ridges and whorls, ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Schematic illustrations of carbon-growth-on-metal machine-learning potential (CGM-MLP) generated by active learning on-the-fly during hybrid molecular dynamics and time-stamped force-biased Monte ...

In a new era of industrial revolution, intelligence is key. Knowing how product design can affect manufacturability or how production processes can affect finished quality helps manufacturers make ...

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 ...