The semiconductor industry continually pushes the boundaries of device performance through advanced process modelling and epitaxial growth techniques. In this context, sophisticated simulation methods ...

In biopharmaceutical manufacturing the interactions between cells, nutrients, and reagents in culture determine product quality. The big challenge for process developers is modeling these complex ...

Semiconductor logic and memory technology development continues to push the limits of process complexity and cost, especially as the industry migrates to the 5 nm node and beyond. Optimization of the ...

Process engineers and integrators can use virtual process modeling to test alternative process schemes and architectures without relying on wafer-based testing. One important aspect of building an ...

Computer modeling techniques that accelerated the production of COVID-19 vaccines could benefit the wider vaccine sector if international regulators can develop harmonized guidelines. Bringing a ...

Is the smart use of process intelligence the best route to digital transformation? BMW Group thinks so. Over the last eight years, the €155-billion ($US167-billion ...

Whether you’ve planned for it or not, your business is heading for digital transformation. As a way to remain competitive and respond to changes in consumer demand, companies need to explore how their ...

Impacts on breast cancer screening by targeting high-risk individuals through the utilization of allied health members in rural India. This is an ASCO Meeting Abstract from the 2022 ASCO Quality Care ...

Artificial intelligence dominates today’s business agenda. From generative co-pilots to autonomous agents, organizations feel pressure to deliver visible results with AI. Yet despite billions in ...

New capabilities accelerate modeling, enhance process transparency, and connect design with real executionDUBLIN, Feb. 18, 2026 /PRNewswire/ -- BOC Group announced the release of ADONIS 18.0 ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...