Introduction to a wide range of computational techniques for engineering design. Modeling, simulation, optimization, design software, examples/projects with emphasis on computational techniques for ...

The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.

Two-dimensional (2D) materials have emerged as a significant class of materials promising for photocatalysis, and defect ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...

If you have a deep-seated, nagging worry over dropping your phone in molten lava, you’re in luck. A research team led by materials scientists at Duke University has developed a method for rapidly ...