Lithography processes were modeled on the basis of coarse-grained polymer simulation techniques using OCTA, which is the simulation software for soft materials, and the simulations of these processes ...

ProcessMind's new process simulation engine lets you build digital twins of your business processes and test changes ...

Novel semiconductor technologies are creating complex process flows, which are needed to support the manufacturing of advanced 3D semiconductor structures. It can be helpful to model process flows, ...

Manufacturing Technology Project is our Startup of the Month! It developed a platform to reduce errors in metal 3D printing.

PITTSBURGH, Jan. 28, 2020 /PRNewswire/ -- Companies are accelerating digital transformation by integrating cutting-edge ANSYS (NASDAQ: ANSS) technology across product lifecycle processes through new ...

We establish a central limit theorem and a large deviations principle for affine point processes, which are stochastic models of correlated event timing widely used in finance and economics. These ...

How can coating and etching processes be made more efficient, robust, and data-driven? This question was the focus of the industry workshop “Plasma Process Simulation Tools for Industrial Coating and ...

The “composites for sustainable mobility” (CosiMo) project was launched in 2018 by Faurecia Clean Mobility (Nanterre, France) to develop a smart thermoplastic composite resin transfer molding (RTM) ...

Functional verification of SoCs always has some kind of set up process. For complex SoCs, at least, this initial set up phase often consumes from 20 to 90% of each test’s total simulation time. And ...

A simulation study of five ethane-recovery processes showed that significantly higher ethane recovery results in turboexpander processes that have a gas-liquid and gas-gas exchanger and use the gas to ...

By simulating the life cycle of a minimal bacterial cell—from DNA replication to protein translation to metabolism and cell division—scientists have opened a new frontier of computer vision into the ...