Publications (63)
Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +27
We introduce the DREAMS project, an innovative approach to understanding the astrophysical implications of alternative dark matter models and their effects on galaxy formation and…
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar +84
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into the real-time…
Vision-Language Models as Zero-Annotation Oracles in Histopathology
Vishal Jain, Giorgio Buzzanca, Sarah Cechnicka +6
Foreground segmentation is the critical first step of every computational pathology pipeline, yet existing methods rely on hand-tuned heuristics or supervised models that overfit t…
The XPRESS Challenge: Xray Projectomic Reconstruction -- Extracting Segmentation with Skeletons
Tri Nguyen, Mukul Narwani, Mark Larson +9
The wiring and connectivity of neurons form a structural basis for the function of the nervous system. Advances in volume electron microscopy (EM) and image segmentation have enabl…
Direct Numerical Simulation of Low and Unitary Prandtl Number Fluids in Reactor Downcomer Geometry
Cheng-Kai Tai, Tri Nguyen, Arsen S. Iskhakov +3
Buoyancy effect on low-flow condition convective heat transfer of non-conventional coolants, such as liquid metal and molten salts, is a crucial safety factor to advanced reactors…
Perspectives on Negative Research Results in Pervasive Computing
Ella Peltonen, Nitinder Mohan, Peter Zdankin +6
Not all research leads to fruitful results; trying new ways or methods may surpass the state of the art, but sometimes the hypothesis is not proven or the improvement is insignific…