Abstract: Accurate and efficient modeling of lateral double-diffused MOS (LDMOS) devices is critical for process optimization and reliability analysis, especially under limited simulation budgets.

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

A strategic, unified approach helps reduce total cost of ownership, mitigate risks and provides data intelligence and broad visibility across the enterprise. It positively impacts operational ...

For advanced bonding schemes and panel operations, there is a high cost to discovering an interface issue late in the flow. Reliability improves when materials are specified as a system rather than as ...

By fusing behavioral data, real-time analytics and generative AI, the industry is entering a new era: attention hacking at ...

Cell-line development enhances biopharmaceutical production capacity and quality, but complex biologics like bsAbs and ADCs ...

Growth in demand for clean water, waste reduction, and environmental safety has driven innovation in sanitary-environmental ...

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...

Discover how in silico tools can be used can be used with organ-on-a-chip for the advancement of ADME studies.

Software solutions today are equally important, as they enable integration of disparate automated unit operations with data flowing between them and supporting a holistic approach to small-molecule ...