Chenjing L Fernando

Title: Chenjing L Fernando: Semiconductor Process and Simulation Patents.

Introduction

Chenjing L Fernando is an inventor based in Lyndhurst, Ohio, and is associated with Texas Instruments Corporation. His patent work includes semiconductor manufacturing processes and methods for optimizing complex simulations. His portfolio includes 4 patents.

Latest Patents

Fernando’s listed patents include “Integrating Dual Supply Voltages Using a Single Extra Mask Level.” The invention describes integrating dual voltages on a single chip while minimizing additional mask requirements. It focuses on optimizing the MDD implant of peripheral transistors while keeping other implants consistent across transistor types, with the aim of meeting lifetime specifications without unnecessary manufacturing expense.

Another listed patent is “Method and System for Using Response-Surface Methodologies to Determine Optimal Tuning Parameters for Complex Simulators.” It describes building response-surface models from simulation experiments and using experimental data to construct an objective function. An optimizer adjusts the model’s input parameters to reduce the difference between target and observed values. The disclosed process includes designing experiments, extracting relevant data, and building models to support simulation-free optimization.

Career Highlights

Fernando’s listed inventions address two technical challenges: reducing the added manufacturing steps involved in integrating dual supply voltages and improving the tuning of complex simulators. These subjects reflect work spanning semiconductor process integration and computational optimization.

Collaborations

Fernando’s listed coworkers include Karthik Vasanth and Sharad Saxena. His company affiliation is Texas Instruments Corporation.

Conclusion

Chenjing L Fernando’s patent portfolio highlights contributions to semiconductor integration and simulator optimization, connecting practical manufacturing considerations with methods for improving complex technical models.