Joint Institute for Computational Sciences

Where Reproducibility Policy Actually Lives: A Stratified Audit of 150 Clinical Journals — Data and Code

Adrian C Demidont, A. Farina

Responsible use and dual-use — read before reuse This repository releases code and data that measure the machine reachability and legibility of clinical-journal editorial policy at scale. It is released for reproducibility, legitimate meta-research, and accountability. The access friction this work documents …

us (code pays fourni par la source)

Where Reproducibility Policy Actually Lives: A Stratified Audit of 150 Clinical Journals — Data and Code

Adrian C Demidont, A. Farina

Responsible use and dual-use — read before reuse This repository releases code and data that measure the machine reachability and legibility of clinical-journal editorial policy at scale. It is released for reproducibility, legitimate meta-research, and accountability. The access friction this work documents …

us (code pays fourni par la source)

NSF Cross-Institutional Research Engagement Network (CIREN): Developing facilitators via training and engagement

Lonnie D. Crosby, Marisa Brazil, Kaitlyn Ackron, Gil Speyer

The U.S. National Science Foundation (NSF) Cross-Institutional Research Engagement Network (CIREN) for cyberinfrastructure (CI) facilitators is a collaborative project between the University of Tennessee, Knoxville (UTK) and Arizona State University (ASU) to recruit, train, and mentor local CI facilitators at both UTK …

us (code pays fourni par la source)

Multimodal Deep Learning in Precipitation Nowcasting: A Review from a Geometric Evolution

Shaoqing Fan, Wei Fang, Heng Wu, Yijing Li

Deep learning has significantly advanced precipitation nowcasting by improving the representation of complex spatiotemporal atmospheric processes. However, multimodal fusion remains challenging due to geometric inconsistencies across heterogeneous meteorological observations, including radar grids, satellite imagery, station networks, and numerical weather prediction fields. This …

cn, us, gb (code pays fourni par la source)

The two-particle density matrix of a Luttinger liquid

Harini Radhakrishnan, Matthias Thamm, Hatem Barghathi, Bernd Rosenow et autres

Two-particle coherence is the first level of the reduced-density-matrix hierarchy that contains correlations inaccessible to single-particle observables, yet analytic two-particle density matrices are rare even in one dimension. We derive a closed, finite-size expression for the equal-time two-particle reduced density matrix of …

de, us (code pays fourni par la source)

Berge tight cycles of all lengths in hypergraphs

Yu Minghui, Li Binlong, Li Ruonan

Given a set $R$ of positive integers, an $R$-graph $H = (V, E)$ is a hypergraph where the cardinality of each hyperedge belongs to $R$. If $R = \{r\}$, we sometimes refer to the hypergraph as an $r$-graph rather than an $R$-graph. …

cn, us (code pays fourni par la source)

Disentangling multi-spin dynamic correlations in the Heisenberg spin-$\frac{1}{2}$ chain

V. K . Bhartiya, U. Kumar, T. Kim, S. Fan et autres

Higher-order correlations are essential for understanding exotic phases and uncovering universal aspects of quantum dynamics. While inelastic neutron scattering provides well-established access to two-particle correlations, measuring correlations in solids involving more than two particles remains a major challenge. Focusing on magnetic excitations …

us (code pays fourni par la source)

Physically Constrained Ensemble Gaussian Process Modelling for Expensive Quantum Systems with Heteroskedastic Noise

Arpan Biswas, Sutirtha Paul, Joseph Agada, Matthias Thamm et autres

Accurate modeling of quantum many-body systems often requires computationally expensive simulations such as Density Matrix Renormalization Group (DMRG) or Quantum Monte Carlo (QMC) calculations. These methods, while precise, impose significant time and resource constraints, limiting their use in exhaustive parameter exploration. Moreover, …

us, de (code pays fourni par la source)

Investigating the Influence of Language on Sycophantic Behavior of Multilingual LLMs

Bayan Abdullah Aldahlawi, A. B. M. Ashikur Rahman, Irfan Ahmad

Large language models (LLMs) have achieved strong performance across a wide range of tasks, but they are also prone to sycophancy, the tendency to agree with user statements regardless of validity. Previous research has outlined both the extent and the underlying causes …

sa, us (code pays fourni par la source)

Quantum simulation of Motzkin spin chain with Rydberg atoms

K. Mukherjee, Hatem Barghathi, Adrian Del Maestro, Rick Mukherjee

Motzkin spin chain is a well-known mathematical model with connections to symmetry-protected topological phases, such as the Haldane phase, as well as to concepts in the AdS/CFT correspondence. They exhibit highly entangled ground states that violate the area law and are exceptionally …

us (code pays fourni par la source)

Excited states in semi-magic 82Ge populated in the βn-decay of 83Ga

M. Al-Shudifat, R. Grzywacz, K.P. Rykaczewski, C.J. Gross et autres

jo, us, ru, pl (code pays fourni par la source)

A Two-Stage Generative Design Process for Lightweight Additively Manufactured High-Performance Cooling Manifolds for Power Electronics

Emmanuel R. Arriola, Jose Emmanuel Ignacio, Ren Andrew Untalan, Abrey Angelo Arroyo et autres

The study presents a novel process to design lightweight, high-performance cooling manifolds for power electronics using generative design. The process begins with a baseline design that defines the constraints of the manifold with regard to the target cooling geometry and flow path. …

ph, us (code pays fourni par la source)