Decay width of hadronic molecule structure for quarks

Xiaozhao Chen; Xiaofu Lü

doi:10.1103/physrevd.97.114005

Faculty Opinions recommendation of Small-molecule structure correctors target abnormal protein structure and function: structure corrector rescue of apolipoprotein E4-associated neuropathology.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717959324.793462720 ◽

2012 ◽

Author(s):

John Lowe

Keyword(s):

Protein Structure ◽

Small Molecule ◽

Structure And Function ◽

Function Structure ◽

Protein Structure And Function ◽

Abnormal Protein ◽

Apolipoprotein E4 ◽

Molecule Structure ◽

And Function

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A Direct measurement of the w boson decay width in $p\bar{p}$ collisions at 1.8-TeV

10.2172/1421682 ◽

1998 ◽

Author(s):

William Joseph Ashmanskas

Keyword(s):

Decay Width ◽

Direct Measurement ◽

W Boson

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Study on effects of molecule structure on exhaust emissions from RCCI engine fueled with low alcohol isomers

Fuel ◽

10.1016/j.fuel.2021.121339 ◽

2021 ◽

Vol 304 ◽

pp. 121339

Author(s):

Weiqiang Han ◽

Zhenhua Fan ◽

Chao Jin ◽

Guoqiang Tang ◽

Yao Lu ◽

...

Keyword(s):

Exhaust Emissions ◽

Molecule Structure ◽

Low Alcohol

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Combination of network and molecule structure accurately predicts competitive inhibitory interactions

Computational and Structural Biotechnology Journal ◽

10.1016/j.csbj.2021.04.012 ◽

2021 ◽

Vol 19 ◽

pp. 2170-2178

Author(s):

Zahra Razaghi-Moghadam ◽

Ewelina M. Sokolowska ◽

Marcin A. Sowa ◽

Aleksandra Skirycz ◽

Zoran Nikoloski

Keyword(s):

Molecule Structure ◽

Inhibitory Interactions

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Deep Learning Insights into Lanthanides Complexation Chemistry

Molecules ◽

10.3390/molecules26113237 ◽

2021 ◽

Vol 26 (11) ◽

pp. 3237

Author(s):

Artem A. Mitrofanov ◽

Petr I. Matveev ◽

Kristina V. Yakubova ◽

Alexandru Korotcov ◽

Boris Sattarov ◽

...

Keyword(s):

Deep Learning ◽

Stability Constants ◽

Black Box ◽

Lanthanide Ions ◽

Structure Property ◽

Target Property ◽

Mutual Location ◽

Molecule Structure ◽

Complexation Chemistry ◽

Main Influence

Modern structure–property models are widely used in chemistry; however, in many cases, they are still a kind of a “black box” where there is no clear path from molecule structure to target property. Here we present an example of deep learning usage not only to build a model but also to determine key structural fragments of ligands influencing metal complexation. We have a series of chemically similar lanthanide ions, and we have collected data on complexes’ stability, built models, predicting stability constants and decoded the models to obtain key fragments responsible for complexation efficiency. The results are in good correlation with the experimental ones, as well as modern theories of complexation. It was shown that the main influence on the constants had a mutual location of the binding centers.

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Dynamical relativistic corrections to the leptonic decay width of heavy quarkonia

The European Physical Journal C ◽

10.1007/s100520200920 ◽

2002 ◽

Vol 24 (1) ◽

pp. 101-108 ◽

Cited By ~ 3

Author(s):

F. Bissey ◽

J.-J. Dugne ◽

J.-F. Mathiot

Keyword(s):

Decay Width ◽

Leptonic Decay ◽

Heavy Quarkonia ◽

Relativistic Corrections

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Non-Relativistic Model for the Semileptonic Λb→Λc Decay

Modern Physics Letters A ◽

10.1142/s0217732397000194 ◽

1997 ◽

Vol 12 (03) ◽

pp. 195-204 ◽

Cited By ~ 6

Author(s):

Debrupa Chakraverty ◽

Triptesh De ◽

Binayak Dutta-Roy ◽

K. S. Gupta

Keyword(s):

Heavy Quark ◽

Decay Width ◽

Branching Ratio ◽

Relativistic Model ◽

Heavy Quark Symmetry ◽

Heavy Baryons

We calculate the decay width for [Formula: see text] in the framework of a non-relativistic quark (NRQ) model of heavy baryons where the light quarks play the role of spectators. Our calculation does not make an explicit use of the heavy quark symmetry. The branching ratio for the above process as calculated here agrees reasonably well with the experimental value.

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