output
20072026
most citedShrinking of Rapidly Evaporating Water Microdroplets Reveals their Extreme Supercooling

76 citations

17 papers

cs.SE2026

Political and Ideological Pressure in Software Engineering Research: The Case of DEI Backlash

Sonja M. Hyrynsalmi, Chris Brown, Alexander Serebrenik +2

Political and ideological pressures shape global research. Recently, these pressures have become particularly visible in research related to diversity, equity, and inclusion (DEI).…

cond-mat.mtrl-sci2026

Chiral-Induced Spin Selectivity Effect in a 1 nm Thin 1,1'-Binaphthyl-2,2'-diyl Hydrogenphosphate Self-Assembled Monolayer on Nickel Oxide

Abin Nas Nalakath, Christian Pfeiffer, Anu Gupta +6

The chiral-induced spin selectivity (CISS) effect describes an observed correlation between the orientation of an electron spin transported or transferred through a molecule and th…

cs.NE2026

Real-time processing of analog signals on accelerated neuromorphic hardware

Yannik Stradmann, Johannes Schemmel, Mihai A. Petrovici +1

Sensory processing with neuromorphic systems is typically done by using either event-based sensors or translating input signals to spikes before presenting them to the neuromorphic…

cs.AI2025★ 1 cited

Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach

Hao Li, Fabian Deuser, Wenping Yin +5

As Earth's climate changes, it is impacting disasters and extreme weather events across the planet. Record-breaking heat waves, drenching rainfalls, extreme wildfires, and widespre…

physics.atom-ph2025★ 3 cited

A cryogenic Paul trap for probing the nuclear isomeric excited state Th

Daniel Moritz, Kevin Scharl, Markus Wiesinger +16

While laser excitation of the nuclear isomeric transition in Th has been recently achieved for thorium atoms embedded in large-bandgap crystals, laser excitation and charac…

math.OC2025

Multilevel Bregman Proximal Gradient Descent

Yara Elshiaty, Stefania Petra

We present the Multilevel Bregman Proximal Gradient Descent (ML BPGD) method, a novel multilevel optimization framework tailored to constrained convex problems with relative Lipsch…