50 citations
- Purdue University West LafayetteUS10 papers
- U.S. Air Force Test Center9 papers
- Stanford UniversityUS8 papers
- United States Air Force AcademyUS6 papers
- The University of Texas at AustinUS3 papers
- United States Air Force Research LaboratoryUS3 papers
- University of California, Los AngelesUS2 papers
- Geological Survey of IsraelIL1 paper
- Gran Sasso Science InstituteIT1 paper
- Indian Institute of Technology MadrasIN1 paper
- Italian Aerospace Research CentreIT1 paper
- Jacobs (United States)US1 paper
17 papers
A parallel implementation of reduced-order modeling of large-scale systems
Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli +1
Motivated by the large-scale nature of modern aerospace engineering simulations, this paper presents a detailed description of distributed Operator Inference (dOpInf), a recently d…
Finite-difference compatible entropy-conserving schemes for the compressible Euler equations
Carlo De Michele, Ayaboe K. Edoh, Gennaro Coppola
This paper introduces a family of entropy-conserving finite-difference discretizations for the compressible flow equations. In addition to conserving the primary quantities of mass…
Identifying feedback directions in the mechanisms driving self-sustained thermoacoustic instability in a single-element rocket combustor
Somnath De, Praveen Kasthuri, Matthew E. Harvazinski +3
The occurrence of high frequency (>1000 Hz) thermoacoustic instability (TAI) sustained by mutual feedback among the acoustic field, heat release rate oscillations, and hydrodynamic…
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine
Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli +1
High-performance computing (HPC) has revolutionized our ability to perform detailed simulations of complex real-world processes. A prominent contemporary example is from aerospace…
Domain decomposition for data-driven reduced modeling of large-scale systems
Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli +1
This paper focuses on the construction of accurate and predictive data-driven reduced models of large-scale numerical simulations with complex dynamics and sparse training datasets…
Applications of the Spectral Theory of Chemical Bonding to Simple Hydrocarbons
Jeffrey D. Mills
The finite-basis, pair formulation of the Spectral Theory of chemical bonding is briefly surveyed. Solutions of the Born-Oppenheimer polyatomic Hamiltonian totally antisymmetric in…