45 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.DC2026
STREAM: Multi-Tier LLM Inference Middleware with Dual-Channel HPC Token Streaming
Anas Nassar, Steve Mohr, Leonard Apanasevich +1
Researchers and practitioners working with large language models face a fragmented landscape: local models are free and private but hardware limits the model size and context windo…
physics.app-ph2019
Scaling Law for Criticality Conditions in Heterogeneous Energetic Materials under Shock Loading
A. Nassar, N. K. Rai, O. Sen +1
Initiation in heterogeneous energetic material (HEM) subjected to shock loading occurs due to the formation of hot spots. The criticality of the hot spots governs the initiation an…
physics.comp-ph2018★ 45 cited
Modeling meso-scale energy localization in shocked HMX, Part I: machine- learned surrogate model for effect of loading and void size
Anas Nassar, Nirmal K. Rai, Oishik Sen +1
This work presents the procedure for constructing a machine learned surrogate model for hotspot ignition and growth rates in pressed HMX materials. A Bayesian Kriging algorithm is…