CHEETAH: A next generation thermochemical code
Abstract
CHEETAH is an effort to bring the TIGER thermochemical code into the 1990s. A wide variety of improvements have been made in Version 1.0. We have improved the robustness and ease of use of TIGER. All of TIGER`s solvers have been replaced by new algorithms. We find that CHEETAH solves a wider variety of problems with no user intervention (e.g. no guesses for the C-J state) than TIGER did. CHEETAH has been made simpler to use than TIGER; typical use of the code occurs with the new standard run command. CHEETAH will make the use of thermochemical codes more attractive to practical explosive formulators. We have also made an extensive effort to improve over the results of TIGER. CHEETAH`s version of the BKW equation of state (BKWC) is able to accurately reproduce energies from cylinder tests; something that other BKW parameter sets have been unable to do. Calculations performed with BKWC execute very quickly; typical run times are under 10 seconds on a workstation. In the future we plan to improve the underlying science in CHEETAH. More accurate equations of state will be used in the gas and the condensed phase. A kinetics capability will be added to the code that will predict reaction zone thickness. Further ease of use features will eventually be added; an automatic formulator that adjusts concentrations to match desired properties is planned.
Read the paper
Related studies
- Regulation of nucleolus assembly by non-coding RNA polymerase II transcripts
- For a Healthy Histone Code, a Little SUMO in the Tail Keeps the Acetyl Away
- Discovering a binary CTCF code with a little help from BORIS
- Article Commentary: Stabilizing the Code–-Methods to Preserve RNA Prove Their Worth
- Foreword to the Special Issue for the RINTC (The Implicit Seismic Risk of Code-Conforming Structures) Project
- Commentary: Promoting Health and Well-being in Pediatric Primary Care Settings: Using Health and Behavior Codes at Routine Well-child Visits
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.