The capabilities of simulation software have developed rapidly over the past few years and underpin some of the more exciting possibilities in automation, including the industrial metaverse. But there ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

A team led by Egbert Zojer from the Institute of Solid State Physics at Graz University of Technology (TU Graz) has now significantly improved these simulations using machine learning, which greatly ...

Over the past three decades, regulations, legislation, and directives that impact the use of chemicals, materials, and related processes have multiplied rapidly. California’s Proposition 65 set ...

The digital twin represents the full machining environment in a digital space, including the workpiece, stock, fixtures and cutting tools. The more complex a machine tool is, the more value can be ...

This third installment in the golf putter design series moves the process from reverse engineering and additive manufacturing to CAD/CAM software. Turning attention to the role of CAD/CAM software in ...

The latest release of Surfcam Verify integrated toolpath verification software uses solid models to display the material removal process for two- to five-axis milling and turning. Verification detects ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...