Johnston, RI, United States of America

Michael Wood


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations by Inventor Michael Wood from Johnston, RI

Introduction

Michael Wood is an accomplished inventor based in Johnston, Rhode Island, recognized for his significant contributions in the field of simulation technologies. With one patent to his name, he has made strides in developing methods that enhance the accuracy of modeling real-world physical systems.

Latest Patents

Michael Wood's notable patent, titled "Analytical Consistent Sensitivities for Nonlinear Equilibriums," addresses the complexities associated with small sliding contact constraints in physical systems. The invention provides a computer-based method and system that begins by defining a model in the memory of a processor. This model comprises various design variables that effectively represent a real-world system. The patent emphasizes the iterative optimization process, allowing for the simultaneous solution of equilibrium and design response sensitivities, ultimately improving the simulation of physical systems.

Career Highlights

Michael is currently affiliated with Dassault Systèmes Simulia Corporation, a respected name in the field of simulation and engineering software. His work contributes to advancing the company's mission of providing innovative solutions for the modeling and optimization of complex systems.

Collaborations

Throughout his career, Michael has collaborated with notable colleagues such as Vladimir Belsky and Claus Bech Wittendorf Pedersen. These partnerships reflect a commitment to research and development, enhancing the contributions made to the field of simulation technologies.

Conclusion

Michael Wood exemplifies the spirit of innovation in the realm of engineering and simulation. His work on analytical consistent sensitivities for nonlinear equilibriums not only showcases his expertise but also represents a significant advancement in how real-world systems are simulated and understood.

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