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19932026
most citedMeasurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC collision data at 7 and 8 TeV

1.1k citations

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23 papers · 1 filter

cond-mat.str-el2023★ 9 cited

Avoided metallicity in a hole-doped Mott insulator on a triangular lattice

Chi Ming Yim, Gesa-R. Siemann, Srdjan Stavrić +9

Doping of a Mott insulator gives rise to a wide variety of exotic emergent states, from high-temperature superconductivity to charge, spin, and orbital orders. The physics underpin…

hep-th2023★ 5 cited

Correlation functions for open strings and chaos

Vladan Djukić, Mihailo Čubrović

We study the holographic interpretation of the bulk instability, i.e. the bulk Lyapunov exponent in the motion of open classical bosonic strings in AdS black hole/brane/string back…

physics.class-ph2023★ 9 cited

Three-body periodic collisionless equal-mass free-fall orbits revisited

Ivan Hristov, Radoslava Hristova, Veljko Dmitrašinović +1

Li and Liao announced (2019) discovery of 313 periodic collisionless orbits' initial conditions (i.c.s), 30 of which have equal masses, and 18 of these 30 orbits have physical peri…

quant-ph2023★ 1 cited

Chaos and anomalous transport in a semiclassical Bose-Hubbard chain

Dragan Marković, Mihailo Čubrović

We study chaotic dynamics and anomalous transport in a Bose-Hubbard chain in the semiclassical regime (the limit when the number of particles goes to infinity). We find that the sy…

cond-mat.str-el2023★ 4 cited

Simple predictors of in superconducting cuprates and the role of interactions between effective Wannier orbitals in the 3-band model

Jaksa Vucicevic, Michel Ferrero

At optimal doping, different cuprate compounds can exhibit vastly different critical temperatures for superconductivity (), ranging from about 20 K to about 135 K. The precise…

cs.AR2023★ 8 cited

FPGA Resource-aware Structured Pruning for Real-Time Neural Networks

Benjamin Ramhorst, Vladimir Loncar, George A. Constantinides

Neural networks achieve state-of-the-art performance in image classification, speech recognition, scientific analysis and many more application areas. Due to the high computational…