output
19942026
most citedThe 2dF Galaxy Redshift Survey: Spectra and redshifts

2.4k citations

3,851 papers

cond-mat.mtrl-sci2026

Reversible Magneto-ionic Modification of Metallic Magnetic Thin Films

Md Golam Hafiz, Hari Babu Vasili, Philippa Shepley +12

Magnetic multilayers with structural inversion asymmetry, perpendicular magnetic anisotropy (PMA), and large Dzyaloshinskii-Moriya interaction (DMI) are widely studied for magnetic…

astro-ph.GA2026

ATLASGAL: The HCN-IR Star Formation Relation for the Milky Way

I. I. Grozdanova, J. S. Urquhart, W. -J. Kim +8

We examine the relation between star formation and dense gas, traced by HCN(1-0), using a sample of 343 Galactic clumps spanning the full range of evolutionary stages representativ…

cs.CV2026

PICO: Projection-Informed Consistency Optimisation for 6DoF Surgical Tool Pose Estimation

Lucy Fothergill, Pietro Valdastri, Dominic Jones +1

Purpose: Accurate 6 DoF pose estimation of surgical tools is critical for automa- tion, robotic proprioception, and safe interaction with the tissue operated on. Kinematics-based a…

astro-ph.EP2026

VLTI/MATISSE observations of the hot dust around Pictoris: Observing faint objects with MATISSE

P. Priolet, J. -C. Augereau, J. Milli +32

Context: Hot exozodiacal dust has been detected around approximately 20% of nearby main-sequence stars, indicating that it is a common feature of extrasolar planetary systems. Howe…

astro-ph.EP2026

Dust trapping, collisional velocity and velocity dispersion in gravito-turbulent discs

Cristiano Longarini, Cathie J. Clarke, Richard A. Booth +1

High-resolution ALMA observations indicate that planet formation is already well underway in the earliest stages of disc evolution, when discs are typically massive enough to be re…

cs.CE2026★ 2 cited

Tabular Image: a method to convert tabular data to images for convolutional neural networks

Junhao Liang, Xingjie Wei, Barbara Summers

Improving the predictive capability of credit scoring models is always an active area of research in the financial sector. Recognising the impressive effectiveness of neural networ…