|
1 Introduction to Computational Meso-Bio-Nano (MBN) Science and MBN Explorer |
|
|
1 | (42) |
|
1.1 Meso-Bio-Nano Science: A Novel Field of Interdisciplinary Research |
|
|
1 | (15) |
|
1.1.1 Structure and Dynamics of MBN Systems |
|
|
2 | (5) |
|
1.1.2 Clustering, Self-organisation and Structure Formation in MBN Systems |
|
|
7 | (3) |
|
|
10 | (2) |
|
|
12 | (2) |
|
1.1.5 Multiscale Nature of MBN Systems |
|
|
14 | (2) |
|
1.2 Computational Approaches in MBN Science |
|
|
16 | (9) |
|
1.2.1 Quantum Atomic and Nanoscales |
|
|
16 | (1) |
|
1.2.2 Classical Nano- and Mesoscales |
|
|
17 | (4) |
|
1.2.3 Monte Carlo Approach and Finite Element Method |
|
|
21 | (3) |
|
1.2.4 MBN Explorer---A Universal Multiscale Approach |
|
|
24 | (1) |
|
1.3 Basics of MBN Explorer and MBN Studio |
|
|
25 | (18) |
|
1.3.1 MBN Explorer Main Features |
|
|
29 | (1) |
|
1.3.2 Areas of Application of MBN Explorer |
|
|
30 | (6) |
|
1.3.3 MBN Studio Main Features |
|
|
36 | (7) |
|
2 Theoretical Approaches for Multiscale Computer Simulations |
|
|
43 | (54) |
|
2.1 Hierarchy of Theoretical Methods and Their Limitations: ab initio Methods and Model Approaches |
|
|
43 | (3) |
|
2.2 Methods for Studying Dynamical Molecular Processes and Related Phenomena |
|
|
46 | (7) |
|
|
47 | (1) |
|
2.2.2 Relativistic Dynamics |
|
|
47 | (1) |
|
2.2.3 Rigid Body Dynamics |
|
|
48 | (1) |
|
2.2.4 Temperature Control |
|
|
49 | (4) |
|
2.3 Modeling Interatomic Interactions |
|
|
53 | (11) |
|
2.3.1 Pairwise Potentials |
|
|
53 | (6) |
|
2.3.2 Many-Body Potentials |
|
|
59 | (5) |
|
2.4 Studying Biomolecules: The Force Field Concept and Beyond |
|
|
64 | (8) |
|
2.4.1 Molecular Mechanics Force Field |
|
|
64 | (3) |
|
2.4.2 Rupture of Covalent Bonds |
|
|
67 | (2) |
|
2.4.3 Rupture of Valence Angles |
|
|
69 | (1) |
|
2.4.4 Rupture of Dihedral Interactions |
|
|
70 | (1) |
|
2.4.5 Formation of New Bonds |
|
|
71 | (1) |
|
2.4.6 Partial Charges Redistribution |
|
|
72 | (1) |
|
|
72 | (8) |
|
2.5.1 Kinetic Monte Carlo Method |
|
|
73 | (2) |
|
2.5.2 Simplifications of the KMC Method |
|
|
75 | (1) |
|
2.5.3 Particle Dynamics Model |
|
|
76 | (2) |
|
2.5.4 Irradiation Driven Molecular Dynamics |
|
|
78 | (2) |
|
2.6 Computational Aspects of Multi-particle Simulations |
|
|
80 | (17) |
|
2.6.1 Basic Interaction Approach |
|
|
80 | (1) |
|
2.6.2 Linked Cell Interaction Approach |
|
|
81 | (3) |
|
2.6.3 Boundary Conditions |
|
|
84 | (4) |
|
2.6.4 Calculation of Coulomb Interactions |
|
|
88 | (9) |
|
3 Computational Modelling of MBN Systems |
|
|
97 | (24) |
|
|
97 | (4) |
|
|
101 | (7) |
|
3.2.1 Basic Structure of MBN Studio |
|
|
101 | (4) |
|
3.2.2 Visualisation of the Results |
|
|
105 | (1) |
|
3.2.3 Modeling MBN Systems |
|
|
106 | (2) |
|
3.3 Modeling of Crystalline Structures |
|
|
108 | (5) |
|
3.3.1 Specific Features of Crystalline Structures |
|
|
108 | (3) |
|
3.3.2 Simulation of Crystalline Structures with MBN Studio |
|
|
111 | (2) |
|
|
113 | (3) |
|
3.4.1 Liquids in MBN Studio |
|
|
113 | (2) |
|
3.4.2 Analysing Simulations with MBN Studio |
|
|
115 | (1) |
|
|
116 | (3) |
|
3.6 Modelling of Material Interphases |
|
|
119 | (2) |
|
4 Atomic Clusters and Nanoparticles |
|
|
121 | (50) |
|
|
121 | (3) |
|
4.2 The Problem of Global Minimum |
|
|
124 | (3) |
|
4.2.1 Cluster Fusion Process |
|
|
125 | (1) |
|
4.2.2 Scenarios for Cluster Fusion Process |
|
|
126 | (1) |
|
4.2.3 Selection Criteria for Cluster Fusion Process |
|
|
127 | (1) |
|
|
127 | (17) |
|
4.3.1 Mass Spectra and Sequence of Magic Numbers |
|
|
128 | (1) |
|
4.3.2 Fusion of Global Energy Minimum Clusters |
|
|
129 | (7) |
|
4.3.3 Cluster Binding Energies |
|
|
136 | (3) |
|
4.3.4 Cluster Magic Numbers |
|
|
139 | (5) |
|
|
144 | (9) |
|
4.4.1 Structure and Properties of Small Metal Clusters |
|
|
144 | (3) |
|
4.4.2 Accounting for Many-Body Interactions |
|
|
147 | (2) |
|
4.4.3 Validation of Classical Description of Systems on the Atomic Scale |
|
|
149 | (4) |
|
4.5 Carbon Clusters: Fullerenes |
|
|
153 | (12) |
|
4.5.1 Classical Approach to Formation and Fragmentation of Fullerenes |
|
|
155 | (5) |
|
4.5.2 Electronic Structure Versus Geometry |
|
|
160 | (5) |
|
4.6 Deposited Clusters and Nanoparticles |
|
|
165 | (6) |
|
4.6.1 Liquid Drop Model Versus MD for a Cluster on a Surface |
|
|
165 | (3) |
|
4.6.2 Shell-Correction Approach to Semi-spheroidal Atomic Clusters |
|
|
168 | (3) |
|
|
171 | (28) |
|
|
171 | (1) |
|
5.2 Phase and Structural Transitions in Polypeptide Chains |
|
|
172 | (17) |
|
5.2.1 Statistical Model for The α-Helix ↔ Random Coil Phase Transition |
|
|
173 | (2) |
|
5.2.2 Energetics of Alanine Polypeptide |
|
|
175 | (10) |
|
5.2.3 Correlation of Different Amino Acids in the Polypeptide |
|
|
185 | (1) |
|
5.2.4 Molecular Dynamics Simulations of π-Helix → Random Coil Phase Transition |
|
|
186 | (3) |
|
|
189 | (10) |
|
5.3.1 Methods of Simulations |
|
|
191 | (2) |
|
5.3.2 Modeling the DNA Duplex Unzipping |
|
|
193 | (6) |
|
6 Nanostructured Materials |
|
|
199 | (56) |
|
|
199 | (2) |
|
6.2 Modeling Carbon Nanostructures |
|
|
201 | (13) |
|
|
201 | (2) |
|
6.2.2 Carbon Nanotubes and Their Basic Properties |
|
|
203 | (7) |
|
6.2.3 Molecular Dynamics of Carbon Nanotube Growth |
|
|
210 | (4) |
|
6.3 Stability and Fragmentation of Metal Nanowires |
|
|
214 | (6) |
|
6.3.1 Using KMC Method of MBN Explorer to Model Nanowire Fragmentation |
|
|
215 | (1) |
|
6.3.2 Results of Simulation |
|
|
216 | (4) |
|
6.4 Crystalline Superlattice of Nanoparticles |
|
|
220 | (8) |
|
6.4.1 C60 Crystals and Nanowires |
|
|
220 | (1) |
|
6.4.2 Modeling Cao-TMB Superlattice |
|
|
220 | (3) |
|
6.4.3 Asymmetric Growth of the C60-TMB Superlattice |
|
|
223 | (5) |
|
6.4.4 Outlook for Modeling Other Superlattices |
|
|
228 | (1) |
|
6.5 Self-assembly, Growth, Surface Pattern Formation |
|
|
228 | (9) |
|
6.5.1 Silver Nanoparticle Self-assembly on a Graphite Surface |
|
|
229 | (3) |
|
6.5.2 Comparison of 3D with 2D Morphologies on a Surface |
|
|
232 | (5) |
|
6.6 Nanofractals and Morphological Transitions |
|
|
237 | (18) |
|
6.6.1 Experimental Observation and Characterization of Morphological Transition |
|
|
239 | (3) |
|
6.6.2 Theoretical Description of Morphological Transition |
|
|
242 | (13) |
|
7 Composite Systems and Material Interfaces |
|
|
255 | (22) |
|
|
255 | (1) |
|
7.2 Nanoparticles in Biological Environments |
|
|
256 | (6) |
|
7.2.1 Radiosensitizing Nanoparticles |
|
|
256 | (1) |
|
7.2.2 Simulation of Coated Gold Nanoparticles in Water Environment |
|
|
257 | (5) |
|
7.3 Nanoalloys and Composite Metal Systems |
|
|
262 | (3) |
|
7.3.1 Many-Body Potentials for Nanoalloys and Composite Systems |
|
|
262 | (2) |
|
7.3.2 Modeling Titanium and Nickel-Titanium Samples |
|
|
264 | (1) |
|
7.4 Atomic, Molecular and NP Diffusion |
|
|
265 | (6) |
|
7.4.1 Basics of the Diffusion Process |
|
|
266 | (2) |
|
7.4.2 Diffusion at Ti-Ni Interfaces |
|
|
268 | (1) |
|
7.4.3 Diffusion of Nickel Cluster at the Interface of Titanium and Water |
|
|
269 | (2) |
|
7.5 Diffusion at Interfaces |
|
|
271 | (6) |
|
7.5.1 Theoretical and Computational Aspects |
|
|
271 | (3) |
|
7.5.2 Results of Numerical Simulations |
|
|
274 | (3) |
|
8 Thermo-Mechanical Properties of Materials |
|
|
277 | (46) |
|
|
277 | (2) |
|
8.2 Simulation of Thermo-Mechanical Properties Up to the Bulk Limit |
|
|
279 | (7) |
|
8.2.1 Modification of the EAM Potential |
|
|
280 | (2) |
|
8.2.2 Simulations of Metal Melting with the Modified EAM potential |
|
|
282 | (4) |
|
|
286 | (9) |
|
8.3.1 Modeling the Crystals and the Indenter |
|
|
288 | (1) |
|
8.3.2 Simulation of the Nanoindentation Process |
|
|
289 | (3) |
|
8.3.3 Quantification of Mechanical Properties |
|
|
292 | (3) |
|
8.4 Nanoscale Phase Transitions |
|
|
295 | (15) |
|
8.4.1 Melting Phase Transitions on the Nanoscale |
|
|
295 | (12) |
|
8.4.2 Martensite-Austenite Phase Transition on the Nanoscale |
|
|
307 | (3) |
|
8.5 Thermodynamic Model for Protein Folding |
|
|
310 | (13) |
|
8.5.1 Theoretical Methods |
|
|
312 | (5) |
|
8.5.2 Verification of the Model Through Experiment |
|
|
317 | (6) |
|
9 Collisional Processes Involving MBN Systems |
|
|
323 | (50) |
|
|
323 | (3) |
|
9.2 Collision Processes Involving Atomic Clusters and NPs |
|
|
326 | (9) |
|
9.3 Collision Processes Involving Biomolecules |
|
|
335 | (10) |
|
9.3.1 Electrons and Biomolecular Interactions |
|
|
337 | (2) |
|
9.3.2 Ions and Biomolecular Interactions |
|
|
339 | (6) |
|
9.4 Particles Propagation Through Medium |
|
|
345 | (7) |
|
9.5 Collision Induced Fragmentation Processeses |
|
|
352 | (7) |
|
|
353 | (3) |
|
9.5.2 Fragmentation of Alanine Dipeptide |
|
|
356 | (1) |
|
9.5.3 Binding of Two Alanine Amino Acids |
|
|
357 | (2) |
|
9.6 Molecular Desorption Processes |
|
|
359 | (3) |
|
9.7 Thermo-Mechanical Effects in Collision Processes |
|
|
362 | (11) |
|
9.7.1 Hydrodynamic Expansion on the Nanometre Scale |
|
|
363 | (1) |
|
9.7.2 MD Simulations of Ion-induced Shock Waves in Biological Media |
|
|
364 | (2) |
|
9.7.3 Damaging Effects Due to Shock Waves |
|
|
366 | (2) |
|
9.7.4 Evaluation of the Shock Wave damaging effect |
|
|
368 | (2) |
|
9.7.5 Transport of Reactive Species by the Radial Collective Flow |
|
|
370 | (3) |
|
10 Novel and Emerging Technologies |
|
|
373 | (30) |
|
|
373 | (1) |
|
10.2 Crystalline Undulator as a Novel Light Source |
|
|
374 | (10) |
|
10.3 Fundamental Nanoscopic Processes in Ion Beam Cancer Therapy |
|
|
384 | (6) |
|
10.3.1 Basic Facts About Ion Beam Cancer Therapy |
|
|
384 | (4) |
|
10.3.2 Multiscale Scenario of Radiation Damage |
|
|
388 | (2) |
|
10.4 Surface Deposition Technologies: The Case of FEBID |
|
|
390 | (13) |
|
10.4.1 Surface Deposition Techniques and Irradiation Driven Chemistry |
|
|
390 | (2) |
|
10.4.2 Modeling of FEBID with IDMD |
|
|
392 | (5) |
|
10.4.3 Results of Simulations and Their Validation |
|
|
397 | (6) |
|
|
403 | (8) |
|
11.1 State-of-the-art and Outlook |
|
|
403 | (1) |
|
11.2 Further Development of MBN Explorer and MBN Studio |
|
|
404 | (4) |
|
11.3 How to Get MBN Explorer and MBN Studio? |
|
|
408 | (3) |
References |
|
411 | (36) |
Index |
|
447 | |