FAR-TECH, Inc., was founded in 1994 to exploit cutting-edge opportunities in the areas of plasma physics, fusion energy, and particle accelerators. The company has been awarded many Small Business Innovative Research (SBIR) grants by the U.S. Departments of Energy (DOE) and Defense (DOD), and has also completed projects for national laboratories, universities, and private companies. FAR-TECH specializes in modeling/simulation, data analysis, custom hardware/software design, and validation tests. The company's research and development focuses on topics related to particle accelerators and plasma/fusion.
FAR-TECH, Inc. is located in San Diego on the main General Atomics campus. This campus is home to the DIII-D National Fusion Facility, which our scientists have access to. We collaborate with various institutions, including:
- DIII-D National Fusion Facility
- Stanford Linear Accelerator Center
- Argonne National Laboratory
- Lawrence Berkeley National Laboratory
- Lawrence Livermore National Laboratory
- The University of California
- Private Companies
The scientists employed at FAR-TECH, Inc. are one of the company’s main assets. With the majority holding Ph.D.'s in physics and engineering fields, many novel concepts and pioneering research ideas in accelerator and plasma physics are conceived in the company. Publications and patents provide partial evidence of such achievement.
The President of FAR-TECH, Inc., Dr. J.S. Kim, earned her Ph.D. in Physics from the University of California, Berkeley. She has successfully led many DOE and DOD projects and has published numerous scientific papers. Coordinating scientific and engineering tasks with government agencies, national laboratories, universities, and private companies, Dr. Kim has gained experience in broad areas of science and engineering. She has in-depth knowledge of fusion and accelerator physics, as well as computing fields. Her specific projects have focused on magnetohydrodynamic equilibrium and stability, beam dynamics, RF-component designs, the Singular Value Decomposition technique for data analysis, and computing technology.
Please view our company brochure for more information about the types of projects we work on.