9 papers
Enhancing Energy Efficiency in Scientific Workflows through CFD based PIVAEs
Ali Zahir, Ashiq Anjum, Mark Wilkinson +1
The growing complexity and scale of scientific workflows in high performance computing (HPC) environments have led to significant challenges in managing energy consumption without…
NL2GDS: LLM-aided interface for Open Source Chip Design
Max Eland, Jeyan Thiyagalingam, Dinesh Pamunuwa +1
The growing complexity of hardware design and the widening gap between high-level specifications and register-transfer level (RTL) implementation hinder rapid prototyping and syste…
Data-driven modeling of shock physics by physics-informed MeshGraphNets
S. Zhang, M. Mallon, M. Luo +4
High-resolution fluid simulations for plasma physics and astrophysics rely on Particle in cell (PIC) and hydrodynamic solvers (e.g., FLASH) to resolve shock dominated, multiscale p…
Autonomous battery research: Principles of heuristic operando experimentation
Emily Lu, Gabriel Perez, Peter Baker +21
Unravelling the complex processes governing battery degradation is critical to the energy transition, yet the efficacy of operando characterisation is severely constrained by a lac…
AI Benchmark Democratization and Carpentry
Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam +28
Benchmarks are a cornerstone of modern machine learning, enabling reproducibility, comparison, and scientific progress. However, AI benchmarks are increasingly complex, requiring d…
Emulating CO Line Radiative Transfer with Deep Learning
Shiqi Su, Frederik De Ceuster, Jaehoon Cha +5
Modelling carbon monoxide (CO) line radiation is computationally expensive for traditional numerical solvers, especially when applied to complex, three-dimensional stellar atmosphe…