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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: cs.DC
iON AI Synthesis
The search results for "cs.DC" (Computer Science - Distributed, Parallel, and Cluster Computing) include a range of topics that do not directly align with this field, such as protein folding from a statistical physics perspective, and stellar atmosphere modeling. However, they do mention constraint solving in programming, and a dual-branch transformer framework for precipitation forecasting, which may involve computational methods relevant to distributed systems. Specifically, the CSU-PCAST framework addresses challenges in computational prediction models, potentially leveraging distributed computing for improved accuracy in hydrometeorological forecasts.
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arxiv.org
Protein Folding: A Perspective From Statistical Physics

In this paper, we introduce an approach to the protein folding problem from the point of view of statistical physics. Protein folding is a stochastic process by which a polypeptide folds into its characteristic and functional 3D structure from random coil. The process involves an intricate interplay…

arxiv.org
Value Withdrawal Explanation in CSP

This work is devoted to constraint solving motivated by the debugging of constraint logic programs a la GNU-Prolog. The paper focuses only on the constraints. In this framework, constraint solving amounts to domain reduction. A computation is formalized by a chaotic iteration. The computed result is…

cs.SE cs.PL
arxiv.org
CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting

Accurate medium-range precipitation forecasting is crucial for hydrometeorological risk management and disaster mitigation, yet remains challenging for current numerical weather prediction (NWP) systems. Traditional ensemble systems such as the Global Ensemble Forecast System (GEFS) struggle to main…

physics.ao-ph cs.LG
arxiv.org
GrayStar: A Web application for pedagogical stellar atmosphere and spectral line modelling and visualisation II: Methods

GrayStar is a stellar atmospheric and spectral line modelling, post-processing, and visualisation code, suitable for classroom demonstrations and laboratory-style assignments, that has been developed in Java and deployed in JavaScript and HTML. The only software needed to compute models and post-pro…

astro-ph.SR physics.ed-ph