Andrea Neumayr
Papers
2
Total Citations
14
H-Index
2
About
Andrea Neumayr is a researcher at the forefront of equation-based modeling and simulation, with a particular focus on physical systems. Her primary contributions lie in the development of the Modia modeling language, an innovative experimental platform built on Julia that combines simple, powerful syntax with the semantic rigor of Modelica. Her 2021 paper on Modia (11 citations) establishes a foundational framework for domain-specific algorithms, enabling more intuitive and efficient modeling of complex physical phenomena. Building on this, Neumayr’s 2023 work (3 citations) tackles a critical challenge in simulation: dynamically changing degrees of freedom. She introduces a groundbreaking mathematical approach that allows variables and equations to appear or disappear during simulation without requiring code regeneration or recompilation, a significant advancement for systems with evolving states. This work promises to streamline simulations of adaptive and reconfigurable systems, from robotics to multi-phase physics. Though early in her career, Neumayr’s contributions are already shaping the future of modeling languages, offering researchers and students a more flexible, powerful toolkit for tackling real-world engineering problems.
Research Focus
Key Achievements
Top Papers
- 1Modia - Equation Based Modeling and Domain Specific Algorithms11 citations · 2021
- 2