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 ...

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 ...

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 ...

Simulation only creates value when it delivers results that are both trustworthy and early enough to influence decisions. If ...

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 ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...

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 ...

In September of 2023 the National Science Foundation announced an investment of $72.5M in funding, through the Designing Materials to Revolutionize and Engineer our Future (DMREF) program, to support ...

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 ...