Siemens’ and NVIDIA’s strategic partnership to build fully AI-driven, adaptive manufacturing sites delivers real-world ...

Steel manufacturer Steel Dynamics entered into an agreement to acquire the remaining 55% equity interest in New Process Steel — 3 years after buying a 45% stake. Terms of the transaction were not ...

A physics-based Python simulation exploring collision behavior in an AstroBlaster system, focusing on momentum transfer, impact modeling, and numerical computation techniques. #PythonPhysics ...

MfgSim is a discrete-event process simulation tool for manufacturing engineers. It helps teams define a production system, estimate throughput, understand resource utilization, and test process ...

The Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, has partnered with GKN Aerospace to develop a novel capability that simulates shipboard motion for additive manufacturing. This ...

Vinci’s physics AI foundation model delivers deterministic, solver-accurate warpage analysis across extreme scales—already in production use at leading hardware companies Building on its ...

Vinci’s physics AI foundation model delivers deterministic, solver-accurate warpage analysis across extreme scales—already in production use at leading hardware companies Vinci today announced the ...

Oracle is offering new capabilities in Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) to help organizations manage the unique requirements of process manufacturing. According to Oracle, the ...

Learn how to create a circular flying pig simulation in Python in this step-by-step tutorial! This video breaks down the coding process, making it simple for beginners and Python enthusiasts to follow ...

Amid an outpouring of industry investments in U.S. drug production, the FDA has launched a new program designed to significantly reduce the complexities involved in setting up domestic manufacturing ...

Abstract: The adoption of data-driven Digital Twins in smart manufacturing systems necessitates robust, data-driven modeling techniques. Stochastic Petri nets offer a formal framework for capturing ...