Results 91 to 100 of about 16,692,771 (272)
Balanced truncation of perturbative representations of nonlinear systems [PDF]
The paper presents a novel approach for a balanced truncation style of model reduction of a perturbative representation of a nonlinear system. Empirical controllability and observability gramians for nonlinear systems are employed to define a projection ...
Condon, Marissa, Grahovski, Georgi G.
core +2 more sources
Threshold resummation of rapidity distributions at fixed partonic rapidity
We derive a general expression for the resummation of rapidity distributions for processes with a colorless final state, such as Drell-Yan or Higgs production, in the limit in which the center-of-mass energy goes on threshold, but with fixed rapidity of ...
Lorenzo De Ros +3 more
doaj +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
On the Higher-Order Effects in Target Single Ionization by Bare Ions in the Perturbative Regime [PDF]
We consider hydrogen and helium ionization with emission of soft electrons in high-velocity collisions with bare ions in the perturbative regime |Zp|/vp < 0.1, where Zp is the projectile charge and vp the collision velocity.
Najjari, B., Voitkiv, A., Ullrich, J.
core +1 more source
Leading-colour-based unweighted event generation for multi-parton tree-level processes
In this work, we revisit unweighted event generation for multi-parton tree-level processes in massless QCD. We introduce a two-step approach, in which initially unweighted events are generated at leading-colour (LC) accuracy, followed by a reweighting of
Rikkert Frederix, Timea Vitos
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Includes bibliographical references (p. 188-195).
Constantinou, Martha G. +1 more
openaire +3 more sources
Multiparton Cwebs at five loops
Scattering amplitudes involving multiple partons are plagued with infrared singularities. The soft singularities of the amplitude are captured by the soft function which is defined as the vacuum expectation value of Wilson line correlators ...
Shubham Mishra +3 more
doaj +1 more source
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Wavefunctions and wavefunctionals in complex configuration space [PDF]
We show how to evaluate divergent asymptotic series using a modified Borei resummation method. We develop and test this technique using three different perturbative expansions of the anharmonic oscillator.
Leonard, David
core

