Potential energy models of excited compound nucleus

2021 ◽  
Vol 258 ◽  
pp. 107605
Author(s):  
P.N. Nadtochy ◽  
E.G. Ryabov ◽  
A.V. Karpov ◽  
D.V. Vanin ◽  
G.D. Adeev
Keyword(s):  
Potential Energy ◽  
Compound Nucleus ◽  
Energy Models

scholarly journals DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

2020 ◽  
Vol 253 ◽  
pp. 107206 ◽  
Author(s):  
Yuzhi Zhang ◽  
Haidi Wang ◽  
Weijie Chen ◽  
Jinzhe Zeng ◽  
Linfeng Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Potential Energy ◽  
Concurrent Learning ◽  
Energy Models ◽  
Learning Platform

Equivalence of the three empirical potential energy models for diatomic molecules

2012 ◽  
Vol 274 ◽  
pp. 5-8 ◽  
Author(s):  
Ping-Quan Wang ◽  
Lie-Hui Zhang ◽  
Chun-Sheng Jia ◽  
Jian-Yi Liu
Keyword(s):  
Potential Energy ◽  
Diatomic Molecules ◽  
Empirical Potential ◽  
Energy Models

Improved expressions for the Schiöberg potential energy models for diatomic molecules

2012 ◽  
Vol 278 ◽  
pp. 23-26 ◽  
Author(s):  
Ping-Quan Wang ◽  
Jian-Yi Liu ◽  
Lie-Hui Zhang ◽  
Si-Yi Cao ◽  
Chun-Sheng Jia
Keyword(s):  
Potential Energy ◽  
Diatomic Molecules ◽  
Energy Models

Additions and corrections: Potential energy models for nonbonding interactions in solid chlorine

1980 ◽  
Vol 19 (7) ◽  
pp. 2200-2200 ◽  
Author(s):  
Leh-Yeh Hsu ◽  
Donald E. Williams
Keyword(s):  
Potential Energy ◽  
Energy Models

On Potential Energy Models for EA-based Ab Initio Protein Structure Prediction

2010 ◽  
Vol 18 (2) ◽  
pp. 255-275 ◽  
Author(s):  
Milan Mijajlovic ◽  
Mark J. Biggs ◽  
Dusan P. Djurdjevic
Keyword(s):  
Protein Structure ◽  
Potential Energy ◽  
Ab Initio ◽  
Protein Structure Prediction ◽  
Structure Prediction ◽  
Three Dimensional ◽  
Free Energy Surface ◽  
Energy Models ◽  
Parameter Values

Ab initio protein structure prediction involves determination of the three-dimensional (3D) conformation of proteins on the basis of their amino acid sequence, a potential energy (PE) model that captures the physics of the interatomic interactions, and a method to search for and identify the global minimum in the PE (or free energy) surface such as an evolutionary algorithm (EA). Many PE models have been proposed over the past three decades and more. There is currently no understanding of how the behavior of an EA is affected by the PE model used. The study reported here shows that the EA behavior can be profoundly affected: the EA performance obtained when using the ECEPP PE model is significantly worse than that obtained when using the Amber, OPLS, and CVFF PE models, and the optimal EA control parameter values for the ECEPP model also differ significantly from those associated with the other models.

Relationship of the Williams-Poulios and Manning-Rosen Potential Energy Models for Diatomic Molecules

2014 ◽  
Vol 55 (11) ◽  
pp. 1159-1165 ◽  
Author(s):  
Chun-Sheng Jia ◽  
Guang-Chuan Liang ◽  
Xiao-Long Peng ◽  
Hong-Ming Tang ◽  
Lie-Hui Zhang
Keyword(s):  
Potential Energy ◽  
Diatomic Molecules ◽  
Energy Models ◽  
Rosen Potential ◽  
Relationship Of

Quasifission mass distributions in the synthesis of 274Hs with 26Mg and 36S projectiles

2015 ◽  
Vol 30 (26) ◽  
pp. 1550129 ◽  
Author(s):  
R. Budaca ◽  
A. Sandulescu ◽  
M. Mirea
Keyword(s):  
Potential Energy ◽  
Configuration Space ◽  
Compound Nucleus ◽  
Degrees Of Freedom ◽  
Energy Landscape ◽  
Nuclear System ◽  
Mass Distributions ◽  
Mass Asymmetry ◽  
Potential Energy Landscape ◽  
Fragmentation Potential

The potential energy landscape for the [Formula: see text] synthesis is evaluated in the framework of the macroscopic–microscopic model. The fragmentation potential calculated in a configuration space characterized by five degrees of freedom associated to elongation, mass asymmetry, necking, and left/right deformations reveals the existence of several minima and some pronounced valleys. The valleys correspond mainly to the [Formula: see text] and [Formula: see text] quasifission channels, but also for some paths in the formation of the compound nuclear system. In this context, two different paths are obtained for the [Formula: see text] and [Formula: see text] entrance channels. The [Formula: see text] path leads to the formation of an isomeric minimum that decays by fission. The [Formula: see text] path evidences a larger probability for the formation of the compound nucleus. Therefore, the two distributions obtained for the associated quasifission processes are very different.

Potential energy models for nonbonding and bonding interactions in solid chlorine

1979 ◽  
Vol 18 (1) ◽  
pp. 79-82 ◽  
Author(s):  
Leh-Yeh Hsu ◽  
Donald E. Williams
Keyword(s):  
Potential Energy ◽  
Energy Models
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