Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Patrick Kaczmarek, a junior at Carnegie Mellon University majoring in applied physics and mechanical engineering, was awarded a Summer Undergraduate Research Fellowship (SURF) to work on a project ...

For decades, simulation has been the cornerstone of scientific discovery and hardware design. But despite the advances we’ve made in computing power and tooling, the way we run simulations hasn’t ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Finding a reasonable hypothesis can pose a challenge when there are thousands of possibilities. This is why Dr. Joseph ...

Right now, the world’s best weather forecast model is a General Circulation Model, or GCM, put together by the European Center for Medium-Range Weather Forecasts. A GCM is in part based on code that ...

Students typically do not delve deeply into the science of mechanics until early college introductory physics and engineering ...

I'll admit it, I'm a math guy. And recently, I've tried to express the emerging power of large language models (LLMs) in many aspects of life—including education. And it got me thinking: What if ...

Genesis Molecular AI appoints Sergey Edunov as Senior Vice President of Foundation Models, further strengthening leadership ...

The Department of Physics and Engineering Physics offers major programs of lecture and laboratory instruction leading to the bachelor of science in physics and the bachelor of science in engineering ...