Results 31 to 40 of about 523,399 (173)
Strong Electron Correlation in Nitrogenase Cofactor, FeMoco [PDF]
FeMoco, MoFe$_7$S$_9$C, has been shown to be the active catalytic site for the reduction of nitrogen to ammonia in the nitrogenase protein. An understanding of its electronic structure including strong electron correlation is key to designing mimic catalysts capable of ambient nitrogen fixation. Active spaces ranging from [54, 54] to [65, 57] have been
arxiv +1 more source
Coloring Deep CNN Layers with Activation Hue Loss [PDF]
This paper proposes a novel hue-like angular parameter to model the structure of deep convolutional neural network (CNN) activation space, referred to as the {\em activation hue}, for the purpose of regularizing models for more effective learning. The activation hue generalizes the notion of color hue angle in standard 3-channel RGB intensity space to $
arxiv
Binding self-propelled topological defects in active turbulence [PDF]
We report on the emergence of stable self-propelled bound defects in monolayers of active nematics, which form virtual full-integer topological defects in the form of vortices and asters. Through numerical simulations and analytical arguments, we identify the phase-space of the bound defect formation in active nematic monolayers.
arxiv +1 more source
Space Activity Regulatory Matters of Space Law
This article studies the issues of international space law and analyses the reasons for its occurrence. At the moment, space law actively develops, and space exploration has become increasingly popular and demanded. Nevertheless, this field’s legal regulations were drawn up in the mid-20th century and are now partly obsolete. Moreover, the set of space-
Andrey Ivanishchuk, Maria Markina
openaire +2 more sources
Network Structure and Activity Spaces [PDF]
This research analyzes the in uence of network structure on household spatial patterns, as measured by activity spaces. The analysis uses street network and travel survey data from the Twin Cities and South Florida to compile measures of network structure. Statistical regression models test the relationship between network structure and travel.
Pavithra Parthasarathi+2 more
openaire +3 more sources
Dynamic X-ray imaging of the magnetosheath expected during a super storm
The Earth’s magnetosheath is a vital source region of soft X-ray emissions generated by the solar wind charge exchange (SWCX) mechanism in geospace.
Yuqi Gong+7 more
doaj +1 more source
CASSCF with Extremely Large Active Spaces using the Adaptive Sampling Configuration Interaction Method [PDF]
The complete active space self-consistent field (CASSCF) method is the principal approach employed for studying strongly correlated systems. However, exact CASSCF can only be performed on small active spaces of ~20 electrons in ~20 orbitals due to exponential growth in the computational cost.
arxiv +1 more source
A field guide for Activating Space
This is a field guide for activating vacant urban spaces. It was prepared for the University of Alberta’s Kule Institute for Advanced Studies and Research Impact Canada's Knowledge Mobilization and Skills Fund.
Morrow, JA, Shields, Rob
openaire +3 more sources
With the increasing number of large constellations, it is crucial to accurately predict satellite positions and movements using upper atmosphere models driven by geomagnetic indices. Machine learning (ML) can quickly provide geomagnetic index predictions.
Tingyu Wang+6 more
doaj +1 more source
Global integration of the Schrödinger equation within the wave operator formalism: The role of the effective Hamiltonian in multidimensional active spaces [PDF]
A global solution of the Schr\"odinger equation, obtained recently within the wave operator formalism for explicitly time-dependent Hamiltonians [J. Phys. A: Math. Theor. 48, 225205 (2015)], is generalized to take into account the case of multidimensional active spaces.
arxiv +1 more source