Process Engineering encompasses the analysis, modeling, simulation, optimization, design, control and operation of process systems, from micro-sized systems to huge industrial facilities. Many ...

The semiconductor industry has always faced challenges caused by device scaling, architecture evolution, and process complexity and integration. These challenges are coupled with a need to provide new ...

Leveraging large language model (LLM) technology and implementing enterprise-specific chat systems and generative AI can significantly accelerate engineering processes within an organization. These ...

The relentless pace of semiconductor development continues unabated. Despite the slowdown in Moore’s law, feature sizes continue to shrink as new geometries come online. Constant innovations in both ...

Models of biopharmaceutical production processes are more accurate and predictive if all downstream steps are considered together rather than individually. At least that’s according to researchers at ...

ChemELLM, a 70-billion-parameter LLM tailored for chemical engineering, outperforms leading LLMs (e.g., Deepseek-R1) on ChemEBench across 101 tasks, trained on ChemEData’s 19 billion pretraining and 1 ...

One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the information environment that the model uses to answer a question. Instead of ...