Microchannel-CHF-Solver: A 2D Finite-Difference Thermal-Scalar Solver for Extreme Heat Flux and Modular Optimization
Science is approaching a critical thermal boundary. As high-performance computing, artificial intelligence, and advanced infrastructure scale, semiconductor power densities are breaching the $1,000\text{ W/cm}^2$ thresholds established by the DARPA ICECool and ARPA-E COOLERCHIPS benchmarks. Conventional computational fluid dynamics (CFD) packages struggle to model these extreme boundaries, often facing mathematical divergence, software crashes, or requiring massive supercomputing overhead. The Microchannel-CHF-Solver is a high-precision finite-difference thermal-scalar solver designed specifically to resolve Critical Heat Flux (CHF) instabili
Resource information
- Format
- zip
- Original repository
- 22072747
- DOI
- 10.5281/zenodo.22072747
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- Not specified
- Last record update
- Nov 5, 2026
About this resource
Science is approaching a critical thermal boundary. As high-performance computing, artificial intelligence, and advanced infrastructure scale, semiconductor power densities are breaching the $1,000\text{ W/cm}^2$ thresholds established by the DARPA ICECool and ARPA-E COOLERCHIPS benchmarks. Conventional computational fluid dynamics (CFD) packages struggle to model these extreme boundaries, often facing mathematical divergence, software crashes, or requiring massive supercomputing overhead. The Microchannel-CHF-Solver is a high-precision finite-difference thermal-scalar solver designed specifically to resolve Critical Heat Flux (CHF) instabilities. By utilizing direct sparse LU decomposition to solve the steady-state advection-diffusion equation, the solver executes automated fluid velocity sweeps to map the exact convective heat transfer coefficient required to neutralize thermal dry-out. Modular & Adaptable Data Framework: This engine is designed for seamless scientific adaptation. The core matrix inputs—such as fluid thermal conductivity, microchannel geometry, and target heat fluxes—are completely modular. Researchers can instantly swap these variables to test novel coolants or alternative thermodynamic problems without altering the underlying sparse-matrix architecture. Field of Use & Commercial Licensing Restriction: The mathematical frameworks and stabilization methodologies demonstrated within this repository are strictly designated for civil, defensive, and non-weaponized R&D applications. Any commercial application, integration into enterprise data centers, or for-profit monetization of this software requires a formal commercial Field of Use license from the author, Daniel C. Schramm.