scholarly journals The Goulden–Jackson Cluster Method for Cyclic Words

2000 ◽  
Vol 25 (2) ◽  
pp. 228-232 ◽  
Author(s):  
Anne E. Edlin ◽  
Doron Zeilberger
Keyword(s):  
Cluster Method ◽  
Cyclic Words

The relativistic coupled-cluster method: transition energies of bismuth and eka-bismuth

1998 ◽  
Vol 94 (1) ◽  
pp. 181-187 ◽  
Author(s):  
EPHRAIM ELIAV ◽  
UZI KALDOR ◽  
YASUYUKI ISHIKAWA
Keyword(s):  
Cluster Method ◽  
Coupled Cluster ◽  
Coupled Cluster Method ◽  
Transition Energies

A Multi-Layer Approach to the Equation of Motion Coupled-Cluster Method for the Electron Affinity

2020 ◽  
Author(s):  
Soumi Haldar ◽  
Achintya Kumar Dutta
Keyword(s):  
Electron Affinity ◽  
Electron Attachment ◽  
Equation Of Motion ◽  
Cluster Method ◽  
Coupled Cluster ◽  
Coupled Cluster Method ◽  
Large Molecules ◽  
Layer Method ◽  
Speed Up ◽  
Attachment Process

We have presented a multi-layer implementation of the equation of motion coupled-cluster method for the electron affinity, based on local and pair natural orbitals. The method gives consistent accuracy for both localized and delocalized anionic states. It results in many fold speedup in computational timing as compared to the canonical and DLPNO based implementation of the EA-EOM-CCSD method. We have also developed an explicit fragment-based approach which can lead to even higher speed-up with little loss in accuracy. The multi-layer method can be used to treat the environmental effect of both bonded and non-bonded nature on the electron attachment process in large molecules.<br>

CYCLIC PARTIAL WORDS

2020 ◽  
Vol 9 (11) ◽  
pp. 9219-9230
Author(s):  
R.K. Kumari ◽  
R. Arulprakasam ◽  
R. Perumal ◽  
V.R. Dare
Keyword(s):  
Dna Sequencing ◽  
Partial Word ◽  
Partial Words ◽  
Cyclic Words

Partial words are linear words with holes. Cyclic words are derived from linear words by linking its first letter after the last one. Both partial words and cyclic words have wide applications in DNA sequencing. In this paper we introduce cyclic partial words and discuss their periodicity and certain properties. We also establish representation of a cyclic partial word using trees.

Investigation of Multivariate Profile Monitoring on Complex Thin-walled Components Batch Machined using a Sliding Time Window Cluster Method

2021 ◽  
Vol 34 (2) ◽  
pp. 134-152
Author(s):  
Pei Wang ◽  
Yang Zhang ◽  
Bo Feng ◽  
Dekun Liu ◽  
Shengtuo Xie
Keyword(s):  
Time Window ◽  
Cluster Method ◽  
Profile Monitoring ◽  
Thin Walled

scholarly journals Quantum chemical benchmark databases of gold-standard dimer interaction energies

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Alexander G. Donchev ◽  
Andrew G. Taube ◽  
Elizabeth Decolvenaere ◽  
Cory Hargus ◽  
Robert T. McGibbon ◽  
...  
Keyword(s):  
Machine Learning ◽  
Gold Standard ◽  
Training Data ◽  
Structure Theory ◽  
Cluster Method ◽  
Coupled Cluster ◽  
Interaction Energies ◽  
Gold Standard Method ◽  
Representative Subset ◽  
Semi Empirical

AbstractAdvances in computational chemistry create an ongoing need for larger and higher-quality datasets that characterize noncovalent molecular interactions. We present three benchmark collections of quantum mechanical data, covering approximately 3,700 distinct types of interacting molecule pairs. The first collection, which we refer to as DES370K, contains interaction energies for more than 370,000 dimer geometries. These were computed using the coupled-cluster method with single, double, and perturbative triple excitations [CCSD(T)], which is widely regarded as the gold-standard method in electronic structure theory. Our second benchmark collection, a core representative subset of DES370K called DES15K, is intended for more computationally demanding applications of the data. Finally, DES5M, our third collection, comprises interaction energies for nearly 5,000,000 dimer geometries; these were calculated using SNS-MP2, a machine learning approach that provides results with accuracy comparable to that of our coupled-cluster training data. These datasets may prove useful in the development of density functionals, empirically corrected wavefunction-based approaches, semi-empirical methods, force fields, and models trained using machine learning methods.

A fuzzy cluster method for turbulent/non-turbulent interface detection

2021 ◽  
Vol 62 (4) ◽  
Author(s):  
Khaled Younes ◽  
Bradley Gibeau ◽  
Sina Ghaemi ◽  
Jean-Pierre Hickey
Keyword(s):  
Fuzzy Cluster ◽  
Cluster Method ◽  
Fuzzy Cluster Method

The intermediate Hamiltonian Fock-space coupled-cluster method with approximate evaluation of the three-body effects

2019 ◽  
Vol 151 (18) ◽  
pp. 184102 ◽  
Author(s):  
Monika Musiał ◽  
Leszek Meissner ◽  
Justyna Cembrzynska
Keyword(s):  
Fock Space ◽  
Cluster Method ◽  
Coupled Cluster ◽  
Coupled Cluster Method ◽  
Approximate Evaluation ◽  
Three Body

scholarly journals Breakfast Eating Habits and Lifestyle Behaviors among Saudi Primary School Children Attending Public Versus Private Schools

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 134
Author(s):  
Laura Jabri ◽  
Amani A. Al-Rasheedi ◽  
Rayan A. Alsulaimani ◽  
Hazzaa M. Al-Hazzaa
Keyword(s):  
Private Schools ◽  
School Children ◽  
Eating Habits ◽  
Primary School Children ◽  
Cluster Method ◽  
School Type ◽  
Lifestyle Behaviors ◽  
School Canteen ◽  
Breakfast Eating ◽  
Public Versus Private

We investigated breakfast eating habits and lifestyle behaviors among Saudi school children attending public versus private schools. A random sample of 1149 children (girls: 54.4%) from public and private schools was selected from elementary schools using the multistage stratified cluster method. Measurements included body weight, height, body mass index (BMI), and self-reported questionnaires filled by the child’s parents. There was no significant (p = 0.44) difference in the prevalence of breakfast intake between children attending public (20.6%) versus private (19.4%) schools. However, there was a gender by school type interactions in breakfast intake frequency, as boys in private but not in public schools had significantly (p = 0.006) higher (26.3%) daily breakfast intake than girls (13.3%). Over 56% of the children ate and drank from the school canteen, and impacting factors on children’s choices were children’s desire, food taste, and parental influence. More parents of children in private (12.1%) than in public (6.9%) schools were satisfied with the food in the school canteen. Younger age (aOR = 0.889, 95% CI = 0.815–0.970, p = 0.008), higher father education (aOR = 1.380, 95% CI = 1.130–1.686, p = 0.002), family income (aOR = 1.227, 95% CI = 1.005–1.498, p = 0.044), and insufficient sleep duration (aOR = 0.740, 95% CI = 0.553–0.990, p = 0.042) were significantly associated with being in a private school. Furthermore, no significant differences, when adjusted for socio-demographic factors, appeared in breakfast intake or overweight/obesity relative to school type. Interventions to improve daily breakfast consumption and lifestyle behaviors of Saudi children are warranted.

scholarly journals Differential Clustering Analysis of Power Grid Green Development Based on Hierarchical Cluster Method

2021 ◽  
Vol 634 (1) ◽  
pp. 012077
Author(s):  
Zhuonan Li ◽  
Yanming Jin ◽  
Jiujin Zhao ◽  
Xue Tan ◽  
Dongliang Zhang ◽  
...  
Keyword(s):  
Clustering Analysis ◽  
Power Grid ◽  
Hierarchical Cluster ◽  
Cluster Method ◽  
Hierarchical Cluster Method ◽  
Green Development
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