output
20192026
most citedThe Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

5k citations

14 papers

stat.ME2026

Statistical inference of a competing risks model based on improved adaptive type-II progressive censored data under Gompertz lifetime distribution

Amlan Dey, Subhankar Dutta, Suchandan Kayal

This paper studies survival of certain bird species (Zebra Finches) under different food availability conditions. A competing risks model is studied under improved adaptive type-II…

cond-mat.mtrl-sci2026

Topological spin-texture transitions in van der Waals magnets revealed by X-ray Fourier transform holography

Sourav Chowdhury, Soumyaranjan Dash, Michael Schneider +14

Nontrivial topological spin-textures, such as skyrmions, merons, bimerons, and skyrmioniums, are envisioned as robust building blocks for future memory and logic devices. Controlla…

cond-mat.soft2026

Self-contact in a buckled elastica

Krishnan Suryanarayanan, Parth Patel, Anup Kumar Pathak +1

We explore the mechanics of a terminally loaded buckled elastica under frictionless self-contact. With the aid of two integrals associated with the elastica, we propose a scale-inv…

cond-mat.mtrl-sci2026★ 1 cited

Disproportionate influence of site disorder on the evolution of magnetic phases in anti-Heusler alloy AlMnFe

Soumya Bhowmik, Santanu Pakhira, Ashis Kundu +3

Anti-Heusler alloys, being a new addition to the Heusler alloys family, exhibit atomic disorders, and almost all of them are reported as a re-entrant spin-glass system. Although su…

physics.comp-ph2025

Investigating the sliding behavior of graphene nanoribbons

Gourav Yadav, Aningi Mokhalingam, Roger A. Sauer +1

This work presents a Euler-Bernoulli beam finite element (FE) model to study the interlayer interaction mechanics of graphene nanoribbon (GNR) over a graphene substrate. The FE mod…

cs.LG2025★ 2 cited

A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction

Jitendra Kumar, Deepika Saxena, Kishu Gupta +2

Accurate workload prediction and advanced resource reservation are indispensably crucial for managing dynamic cloud services. Traditional neural networks and deep learning models f…