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Hybrid neural network potential for multilayer graphene
Mingjian Wen,
Ellad B. Tadmor
Aerospace Engineering and Mechanics
Materials Research Science & Engineering Center
Research output
:
Contribution to journal
›
Article
›
peer-review
42
Scopus citations
Overview
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Projects and Grants
(2)
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Dive into the research topics of 'Hybrid neural network potential for multilayer graphene'. Together they form a unique fingerprint.
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Weight
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Engineering & Materials Science
Graphene
100%
Multilayers
82%
Neural networks
51%
Monolayers
47%
Density functional theory
36%
Binding energy
19%
Vacancies
16%
Dispersions
15%
Large dataset
13%
Structural properties
13%
Medicine
12%
Graphite
12%
Elastic moduli
10%
Friction
8%
Sensors
6%
Hot Temperature
5%
Chemical Compounds
Multilayer
75%
Interatomic Potential
62%
Graphene
60%
Monolayer
31%
Atomistic Simulation
18%
Density Functional Theory
17%
Phonon
15%
Thermal Conductivity
13%
Energy
13%
Binding Energy
12%
Graphite
10%
Force
9%
Application
4%
Physics & Astronomy
graphene
69%
interlayers
28%
density functional theory
16%
medicine
11%
energy
9%
graphite
9%
binding energy
9%
friction
9%
modulus of elasticity
8%
interactions
8%
thermal conductivity
8%
spacing
8%
elastic properties
8%
phonons
7%
sensors
6%
configurations
5%
electronics
5%
simulation
4%