Tootfinder

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- GPU Performance Portability needs Autotuning
Burkhard Ringlein, Thomas Parnell, Radu Stoica

Anisotropic Multi-Q Order in CoxTaS2
Jonathon Kruppe, Josue Rodriguez, Catherine Xu, James Analytis, Joseph Orenstein, Veronika Sunko
https://arxiv.org/abs/2507.12588

Anisotropic Multi-Q Order in CoxTaS2
The cobalt-intercalated transition metal dichalcogenide Co$_x$TaS$_2$ hosts a rich landscape of magnetic phases that depend sensitively on $x$. While the stoichiometric compound with $x=1/3$ exhibits a single magnetic transition, samples with $x\leq 0.325$ display two transitions with an anomalous Hall effect (AHE) emerging in the lower temperature phase. Here, we resolve the spin structure in each phase by employing a suite of magneto-optical probes that include the discovery of anomalous magn…

Extrinsic Dopants as Growth Modifiers in Cu-Cr-O delafossites: A Study of Incorporation Limits and Film Properties
Marco Moreira, Yves Fleming, Patrick Grysan, Christele Vergne, Adrian Marie Philippe, Petru Lunca-Popa
https://arxiv.org/abs/2506.13540

Extrinsic Dopants as Growth Modifiers in Cu-Cr-O delafossites: A Study of Incorporation Limits and Film Properties
Cu-Cr-O delafossite thin films were grown by metal-organic chemical vapor deposition with various extrinsic dopants (Al, Mg, Mn, Sc, Y, and Zn) targeted at 5 at % to investigate how such doping influences their structure and properties. X-ray photoelectron spectroscopy revealed that the actual dopant incorporation is well below the nominal 5 %, with only Al and Sc present above detection. An off-stoichiometric Cu-Cr-O composition is determined, with no secondary phases detected. Transmission el…

This https://arxiv.org/abs/2502.17257 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

What is a chemostat? Insights from hybrid dynamics and stochastic thermodynamics
At the microscopic scale, open chemical reaction networks are described by stochastic reactions that follow mass-action kinetics and are coupled to chemostats. We show that closed chemical reaction networks -- with specific stoichiometries imposed by mass-action kinetics -- behave like open ones in the limit where the abundances of a subset of species become macroscopic, thus playing the role of chemostats. We prove that this limit is thermodynamically consistent by recovering the local detaile…

LEANN: A Low-Storage Vector Index
Yichuan Wang, Shu Liu, Zhifei Li, Yongji Wu, Ziming Mao, Yilong Zhao, Xiao Yan, Zhiying Xu, Yang Zhou, Ion Stoica, Sewon Min, Matei Zaharia, Joseph E. Gonzalez
https://arxiv.org/abs/2506.08276

LEANN: A Low-Storage Vector Index
Embedding-based search is widely used in applications such as recommendation and retrieval-augmented generation (RAG). Recently, there is a growing demand to support these capabilities over personal data stored locally on devices. However, maintaining the necessary data structure associated with the embedding-based search is often infeasible due to its high storage overhead. For example, indexing 100 GB of raw data requires 150 to 700 GB of storage, making local deployment impractical. Reducing…

This https://arxiv.org/abs/2503.21301 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Low-loss silicon nitride Kerr-microresonators fabricated with metallic etch masks via metal lift-off
Stoichiometric silicon nitride has emerged as a widely used integrated photonic material owing to its high index of refraction, nonlinear optical properties, and broad transparency window spanning visible to mid-IR frequencies. However, silicon nitride is generally more resistant to reactive ion etching than are typical etch masks made of polymer-based resist. This necessitates resist layers that are significantly thicker than the silicon nitride and results in mask patterns which are tall and …

Vacancy-Controlled Superconductivity in Rock-Salt Carbides: Towards Predictive Modelling of Real-World Superconductors
Simone Di Cataldo, William Cursio, Lilia Boeri
https://arxiv.org/abs/2506.07768

Vacancy-Controlled Superconductivity in Rock-Salt Carbides: Towards Predictive Modelling of Real-World Superconductors
We critically reexamine the superconducting properties of rock-salt transition-metal carbides (TMCs), often regarded as textbook conventional superconductors, combining first-principles electron-phonon calculations with variable-composition evolutionary structure prediction. Studying superconducting trends across the entire transition-metal series, we find that, when the rock-salt stoichiometric phase is dynamically or thermodynamically unstable, carbon-vacant structures identified through unbi…

In situ Study of Phase Transitions in La$_2$NiO$_{4 \delta}$ using Raman Spectroscopy
Adeel Riaz, Alexander Stangl, M\'onica Burriel, Michel Mermoux
https://arxiv.org/abs/2507.01072

In situ Study of Phase Transitions in La$_2$NiO$_{4+δ}$ using Raman Spectroscopy
La$_2$NiO$_{4+δ}$ has attracted increasing interest in recent years, both as oxygen electrode in solid oxide fuel cells and electrolysers due to its high electrochemical activity at intermediate to high temperatures, and as key component of memristive devices for neuromorphic computing, owing to its variable oxygen stoichiometry. The integration of La$_2$NiO$_{4+δ}$ into devices operating at different temperatures and oxygen partial pressures requires knowledge of the effects of hyper-stoichi…

Machine Learning Study of the Surface Reconstructions of Cu$_{2}$O(111) Surface
Payal Wadhwa, Michael Schmid, Georg Kresse
https://arxiv.org/abs/2507.05026

Machine Learning Study of the Surface Reconstructions of Cu$_{2}$O(111) Surface
The atomic structure of the most stable reconstructed surface of cuprous oxide (Cu$_{2}$O)(111) surface has been a longstanding topic of debate. In this study, we develop on-the-fly machine-learned force fields (MLFFs) to systematically investigate the various reconstructions of the Cu$_{2}$O(111) surface under stoichiometric as well as O- and Cu-deficient or rich conditions, focusing on both ($\sqrt{3}$$\times$$\sqrt{3}$)R30° and (2$\times$2) supercells. By utilizing parallel tempering simula…

Guidelines for the optimization of hafnia-based ferroelectrics through superlattice engineering
Johanna van Gent, Binayak Mukherjee, Ewout van der Veer, Ellen M. Kiens, Gertjan G. Koster, Bart J. Kooi, Jorge \'I\~niguez-Gonz\'alez, Beatriz Noheda
https://arxiv.org/abs/2507.05174 …

Guidelines for the optimization of hafnia-based ferroelectrics through superlattice engineering
Hafnia-based ferroelectrics are revolutionizing the data storage industry and the field of ferroelectrics, with improved materials and devices being reported monthly. However, full understanding and control has not been reached yet and the ideal material still needs to be found. Here we report ferroelectric hafnia-zirconia superlattices made out of zirconium-substituted hafnia (Hf$_{1-x}$Zr$_x$O$_2$) sublayers of varying stoichiometries alternating with pure ZrO$_2$ sublayers. It is observed th…