Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userدراسة كوانتية للخصائص البنيوية والإلكترونية والطيفية لعناقيد الذهب الصغيرة
524
0 0
0.0
(
0
)
Added by
Aِl-Baath University رسالة ماجستير
Publication date
2017
fields
Chemistry
and research's language is
العربية
Created by
Shamra Editor
Ask ChatGPT about the research
تم في هذا البحث درسة عناقيد الذهب الصغيرة باستخدام برنامج Gaussian 09 وتطبيق المجموعة القاعدية (CEP-121G )
No English abstract
References used
Frisch M. J, et al : GAUSSIAN 09, Revision A.02, Gaussian INc, WallingfordCT, (2009)
rate research
Read More
CdTe Thin films were deposited on glass substrates by thermal evaporation
method. The geometric thickness was calculated using interferometric method
based on reflectance curve recorded with the spectrophotometer. The XRD
analysis and optical char
acterizations of CdTe films with different optical
thicknesses reveals that the structure of the films is polycrystalline with
preferential orientation (111). The structure constant (a), crystallite size (D),
dislocation density (δ) and strain (ε) were calculated, and it is observed that the
crystallite size increases but micro-strain and dislocation density decreases with
increases in thin film thickness. The overall absorbance has been increased with
the film thickness and the direct band gap was obtained. It decreases with the
increase in the thickness of the films.
In this research, we studied the quantum effect of the electronic
density change effect of some sodium( Nan) clusters properties,
electronic and spectral properties changes.We have been studied
using density functional theory: (DFT/B3LYP(6-311+G(2d))).
Density Functional Theory (DFT) is a computational method that
derives properties of The sodium clusters (neutral and positively)
based on a determination of the electron density of the clusters.
دراسات كوانتية لخصائص الانتقالات النووية : قمنا في هذا البحث بتحديد متعددات أقطاب أشعة غاما المرافقة لتفاعل نيوترونات حرارية مع النوى
We consider the problem of using observational data to estimate the causal effects of linguistic properties. For example, does writing a complaint politely lead to a faster response time? How much will a positive product review increase sales? This p
aper addresses two technical challenges related to the problem before developing a practical method. First, we formalize the causal quantity of interest as the effect of a writer's intent, and establish the assumptions necessary to identify this from observational data. Second, in practice, we only have access to noisy proxies for the linguistic properties of interest---e.g., predictions from classifiers and lexicons. We propose an estimator for this setting and prove that its bias is bounded when we perform an adjustment for the text. Based on these results, we introduce TextCause, an algorithm for estimating causal effects of linguistic properties. The method leverages (1) distant supervision to improve the quality of noisy proxies, and (2) a pre-trained language model (BERT) to adjust for the text. We show that the proposed method outperforms related approaches when estimating the effect of Amazon review sentiment on semi-simulated sales figures. Finally, we present an applied case study investigating the effects of complaint politeness on bureaucratic response times.
لما كان أساس المودول يعرف من خلال المودولات الجزئية الصغيرة فقد نالت هذه المودولات أهمية لا بأس بها وذلك بعد أن نشرت إريك مارس بحثها المودولات نصف التامة عام 1963م
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
