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19922026
most citedArtificial Neural Networks for Solving Ordinary and Partial Differential Equations

2.4k citations

Showing 2018Show all

199 papers · 1 filter

hep-ph2018★ 12 cited

Effective Field Theories in R_xi gauges

M. Misiak, M. Paraskevas, J. Rosiek +2

In effective quantum field theories, higher dimensional operators can affect the canonical normalization of kinetic terms at tree level. These contributions for scalars and gauge b…

hep-th2018★ 97 cited

Novel Black-Hole Solutions in Einstein-Scalar-Gauss-Bonnet Theories with a Cosmological Constant

Athanasios Bakopoulos, Georgios Antoniou, Panagiota Kanti

We consider the Einstein-scalar-Gauss-Bonnet theory in the presence of a cosmological constant , either positive or negative, and look for novel, regular black-hole solutions wi…

hep-th2018★ 2 cited

GUT Scale Unification in Heterotic Strings

Carlo Angelantonj, Ioannis Florakis

We present a class of heterotic compactifications where it is possible to lower the string unification scale down to the GUT scale, while preserving the validity of the perturbativ…

astro-ph.SR2018★ 13 cited

Modeling of the sunspot-associated microwave emission using a new method of DEM inversion

C. E. Alissandrakis, V. M. Bogod, T. I. Kaltman +2

We developed a method to compute the temperature and density structure along the line of sight by inversion of the differential emission measure (DEM), under the assumptions of str…

hep-ex2018★ 76 cited

Measurement of the top quark mass in the all-jets final state at 13 TeV and combination with the lepton+jets channel

CMS Collaboration

A top quark mass measurement is performed using 35.9 fb of LHC proton-proton collision data collected with the CMS detector at 13 TeV. The measurement uses the…

hep-ex2018★ 88 cited

Measurement of the differential Drell-Yan cross section in proton-proton collisions at 13 TeV

CMS Collaboration

Measurements of the differential cross section for the Drell-Yan process, based on proton-proton collision data at a centre-of-mass energy of 13 TeV, collected by the CMS experimen…