Research | SC Solutions

SC Solutions Supports ASME Robotics Roadmapping Workshop

Jul 12, 2022 | Company

SC Solutions staff are providing their insight and experience relating to the space industry to the ASME Robotics Technology Group (RTG). The RTG is conducting a Robotics Roadmapping Session on Sunday, August 14, 2022 in conjunction with IDETC-CIE. The workshop...

DOE Awards Phase II STTR Grant to SC and Princeton to Develop Software for Quantum Control & Optimization

Jun 7, 2021 | Company, Control Engineering

Press Release The U.S Department of Energy (DOE) has awarded a Phase II STTR grant to SC Solutions and Princeton University to develop a software toolset for quantum control and related optimization and calibration protocols. This STTR program will leverage the vast...

Reactor-scale Modeling of Silicon Epitaxy

Oct 1, 2020

This case study of epitaxial deposition of silicon film on a silicon substrate in a horizontal hot-wall reactor reproduces an earlier modeling study by Habuka et al. [1]. The steady-state finite element (FEM) model incorporates fluid flow, heat transfer, dilute...

Fluid Flow Modeling at SC Solutions: Multiphysics Modeling, a versatile tool in the engineer’s toolkit

Oct 1, 2020

The modeling team at SC Solutions has developed fluid flow models for a broad range of applications for more than two decades. These models have been developed primarily using the commercial finite element (FEM) modeling tool, COMSOL® Multiphysics, for which SC is a...

Improving Recovery in the Yates Field Using Dynamic Feedback Loop based on Physics-Informed Artificial Intelligence

Aug 24, 2020

Abstract We present a robust control system and methodology for physics-informed artificial intelligence (PAI) used to optimize and improve oil recovery, demonstrated in the Yates Field operated by the Kinder Morgan CO2 company. The system consists of a robust control...

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