Making physics-based simulation as simple as describing the problem.
Divergent Physics builds AI agents that automate physics-based simulation end-to-end — from antenna design in Ansys HFSS to complete wireless systems. We pair deep RF and information-theory expertise with modern AI so engineering teams can move from idea to result without the manual setup.
Meet the team
Divergent Physics is built by RF and information-theory researchers and engineers with deep antenna, MIMO, and electromagnetic simulation expertise.
Gustavo Navarro
Gustavo holds a PhD in Mathematics from UC Davis, where his research focused on partial differential equations, and brings more than eight years in RF and engineering startups — including leadership roles at Reach Power building long-range wireless power transfer. His work sits at the intersection of applied mathematics, electromagnetic engineering, and AI.
Volodymyr Shyianov
PhD candidate in electrical engineering at the University of Manitoba, with research awards from Canada’s NSERC. His work spans radio-frequency engineering, multi-user information theory, and information-theoretically consistent antenna design. Previously held positions at Ansys.
Bamelak Tadele
PhD candidate in electrical engineering at the University of Manitoba and a Student Member of the IEEE, with multiple NSERC research awards. His research focuses on massive MIMO and information-theoretically consistent antenna design. Previously held positions at Ansys.
Work with us
See how Divergent Physics automates your HFSS and wireless workflows on top of your existing Ansys setup.