output
20052026
most citedThe Physics of Ultraperipheral Collisions at the LHC

587 citations

193 papers

cs.ET2026★ 1 cited

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM via Compact Modeling

Matteo Galetta, Donato Francesco Falcone, Victoria Clerico +7

Resistive Random Access Memory (ReRAM) devices offer a promising solution for next-generation non-volatile memory and neuromorphic computing systems. Yet, existing compact models f…

cond-mat.mtrl-sci2026★ 1 cited

Giant orbital magnetoresistance in the antiferromagnet CoO driven by dynamic orbital angular momentum interaction

Christin Schmitt, Sachin Krishnia, Edgar Galindez-Ruales +12

Recent predictions of orders of magnitude larger orbital current effects compared to spin currents have attracted significant interest. However, the full potential of giant orbital…

cond-mat.mtrl-sci2026

Anisotropy-driven interfacial magnetism in Ru-deficient SrRuO thin films

Vítor A. de Oliveira Lima, Michael I. Faley, Asmaa Qdemat +9

While stoichiometric SrRuO (SRO) is a metallic itinerant ferromagnet with relatively homogeneous magnetization, Ru deficiency provides a powerful route to alter its electronic…

cond-mat.mtrl-sci2026

Emergence of a spin Hall topological Hall effect in the non-collinear phase of the ferrimagnetic insulator terbium-iron garnet

Mehak Loyal, Akashdeep Akashdeep, Edoardo Mangini +9

Magnetic compensation in rare-earth iron garnets (REIGs) offers a unique setting for which competing sublattice moments can give rise to non-collinear (canted) magnetic configurati…

cond-mat.supr-con2026

Spatial homogeneity of superconducting order parameter in NbN films grown by atomic layer deposition

J. Lorenz, S. Linzen, M. Ziegler +5

Due to their high kinetic inductance, highly disordered superconducting thin films are a potential hardware for the realization of compact, low-noise elements in cryoelectronic app…

cs.DC2026

Exploiting network topology in brain-scale simulations of spiking neural networks

Melissa Lober, Markus Diesmann, Susanne Kunkel

Simulation code for conventional supercomputers serves as a reference for neuromorphic computing systems. The present bottleneck of distributed large-scale spiking neuronal network…