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Preface | p. xv |
AB Initio Modeling of Alloy Phase Equilibria | |
Introduction | p. 1 |
First-principles calculations of thermodynamic properties: Overview | p. 3 |
Thermodynamics of compositionally ordered solids | p. 4 |
Thermodynamics of compositionally disordered solids | p. 10 |
Cluster expansion formalism | p. 11 |
Determining ground-state structures | p. 15 |
Free energy calculations | p. 17 |
Free energy of phases with dilute disorder | p. 19 |
Integration of ab initio and CALPHAD methods for multicomponent alloy design | p. 20 |
Overview of CALPHAD approach | p. 21 |
Integrated ab initio and CALPHAD phase-stability modeling | p. 23 |
The Al-Nb system | p. 23 |
The Al-Hf system | p. 24 |
The Hf-Nb system | p. 25 |
The ternary Al-Hf-Nb system | p. 25 |
Computational kinetics of the Al-Hf-Nb system: Oxygen in bcc solid solution | p. 26 |
Conclusion | p. 28 |
Use of Computational Thermodynamics to Identify Potential Alloy Compositions For Metallic Glass Formation | |
Introduction | p. 35 |
Phase diagram features favoring glass formation | p. 36 |
Examples using computational thermodynamics to identify alloy compositions for glass formation | p. 40 |
Addition of Ti to improve the glass forming ability (GFA) of a known glass-forming Zr-Cu-Ni-Al alloy | p. 40 |
Synthesis of precursor amorphous alloy thin-films of oxide tunnel barriers used in magnetic tunnel junctions | p. 44 |
Conclusions | p. 50 |
How Does A Crystal Grow? Experiments, Models, And Simulations From The Nano- to The Micro-Scale Regime | |
Introduction | p. 56 |
Theory of atomic packing | p. 59 |
Discussion of experimental results, simulations, and atomic models | p. 61 |
The dodecahedral particle | p. 61 |
Surface reconstructed decahedron | p. 65 |
The Montejano's decahedron | p. 69 |
The symmetric truncated icosahedron | p. 70 |
The Decmon-like polyhedron | p. 72 |
Star polyhedral gold nanocrystals | p. 76 |
Conclusions | p. 81 |
Structural And Electronic Properties From First-Principles | |
Introduction | p. 85 |
First-principles methods | p. 86 |
Density functional theory | p. 87 |
Molecular dynamics with ab initio forces | p. 89 |
Algorithm development and coding improvement | p. 89 |
Wavelet bases | p. 90 |
Orthonormal wavelet bases for electronic structure calculations | p. 91 |
Methods based on scaling function expansions | p. 91 |
Wavelets and finite difference | p. 91 |
Methods based on wavelet expansions | p. 92 |
Applications | p. 93 |
Structure and dynamics of carbon fullerenes | p. 93 |
Shell structures of metal clusters | p. 95 |
Atomic shells | p. 97 |
Charge transfer | p. 98 |
Electronic shells | p. 98 |
Micro facets of metal surfaces | p. 100 |
Nanotechnology: Nanowires | p. 102 |
Shape memory alloys | p. 104 |
Conclusions | p. 106 |
Synergy Between Material, Surface Science Experiments And Simulations | |
Introduction | p. 109 |
Thermodynamical basis | p. 111 |
Thermodynamics of alloy formation | p. 112 |
Thermodynamics of surface segregation | p. 116 |
Surface segregation in disordered alloys | p. 117 |
Surface segregation in ordered alloys | p. 123 |
Stoichiometric ordered compounds | p. 123 |
Effect of temperature on the order in stoichiometric ordered compounds | p. 123 |
Segregation in stoichiometric ordered compounds | p. 125 |
Segregation in off-stoichiometric ordered compounds | p. 127 |
Monte Carlo simulations | p. 129 |
Introduction | p. 129 |
Statistical mechanics | p. 131 |
Monte Carlo simulations: The basics | p. 132 |
Monte Carlo simulations: Practical issues | p. 134 |
Beyond pair potentials | p. 138 |
The Embedded Atom Method | p. 139 |
The Modified Embedded Atom Method | p. 142 |
Evaluation | p. 147 |
Case studies | p. 147 |
Surface structure and segregation profile of the alloy Au75Pd2s(110) | p. 149 |
Cu segregation and ordering at the (110) surface of Ol75Pd25 | p. 152 |
Face-related segregation reversal at Pt5o Ni5o surfaces | p. 155 |
Pt segregation to the (111) surface of ordered Pt80Fe2o | p. 159 |
Sn-segregation behavior and ordering at the alloy Pt75Sn25(111) | p. 161 |
Conclusions | p. 166 |
Integration of First-Principles Calculations, Calphad Modeling, And Phase-Field Simulations | |
Introduction | p. 171 |
Phase-field simulation principles | p. 173 |
CALPHAD modeling of materials properties | p. 178 |
CALPHAD modeling of thermodynamics | p. 179 |
CALPHAD modeling of atomic mobility | p. 182 |
CALPHAD modeling of molar volume | p. 184 |
First-principles calculations of materials properties | p. 186 |
First-principles calculations for finite temperatures | p. 186 |
First-principles calculations of solution phases | p. 188 |
First-principles calculations of interfacial energy | p. 189 |
Applications to Ni-Al | p. 190 |
First-principles calculations | p. 190 |
Interfacial energy between ¿ and ¿ | p. 190 |
Structural stability of Ni-Mo compounds | p. 191 |
Thermodynamic properties of Al, Ni, Ni Al and Ni3Al | p. 192 |
SQS calculations of bcc, B2, and L12 | p. 194 |
Lattice distortion and lattice parameters | p. 197 |
CALPHAD modeling | p. 197 |
Thermodynamic modeling of Ni-Mo | p. 197 |
Thermodynamic modeling of Ni-Al-Mo | p. 199 |
Atomic mobility modeling in Ni-Al and Ni-Al-Mo | p. 199 |
Lattice parameter modeling in Ni-Al and Ni-Al-Mo | p. 201 |
Phase-field simulations | p. 202 |
Interface models | p. 202 |
3D simulations of Ni-Al using the physical model | p. 204 |
3D simulations of Ni-Al and Ni-Al-Mo using the KKS model | p. 205 |
Conclusions | p. 210 |
Quantum Approximate Methods For The Atomistic Modeling of Multicomponent Alloys | |
Introduction | p. 215 |
The BFS method | p. 218 |
Relationship between BFS and ab initio methods | p. 224 |
Modeling of Ru AlX alloys | p. 227 |
The Ru-Al system | p. 230 |
The Ru-Al-Ni system | p. 231 |
The Ru-Al-Ta system | p. 234 |
The Ru-Al-Ta-Ni-W-Co-Re system | p. 237 |
Ni Al Ti Cu modeling | p. 238 |
Site occupancy of Ti and Cu (experiment) | p. 239 |
Site occupancy of Ti and Cu (BFS and Monte Carlo simulations) | p. 239 |
Atom-by-atom analysis of the ground state | p. 242 |
Ground state structure versus Cu concentration | p. 243 |
Local environment analysis of atomic coupling | p. 244 |
Local environment analysis of the ternary system | p. 246 |
Ti site preference in Ni Al | p. 246 |
Cu site preference in Ni Al | p. 248 |
Ti and Cu additions and interaction between point defects | p. 248 |
Ti and Cu interaction with antisite defects | p. 250 |
Ti and Cu interactions | p. 251 |
Conclusions | p. 252 |
Molecular Orbital Approach to Alloy Design | |
Introduction | p. 255 |
DV-Xa molecular orbital method | p. 257 |
Alloying parameters | p. 258 |
d-orbital energy level, Md | p. 258 |
Bond order, Bo | p. 260 |
Average parameters for an alloy | p. 261 |
Nickel-based superalloys | p. 262 |
New PHACOMP | p. 262 |
d-electrons concept | p. 263 |
Target region for alloy design | p. 264 |
Alloying vector | p. 264 |
Design of nickel based single crystal superalloys | p. 265 |
Iron alloys | p. 267 |
Second-nearest-neighbor interactions in bcc Fe | p. 267 |
Alloying parameters in bcc Fe and fcc Fe | p. 271 |
Local lattice strain induced by C and N in iron martensite | p. 271 |
Design of high Cr ferritic steels | p. 273 |
Alloying vector | p. 274 |
8 ferrite formation | p. 274 |
Trace of the evolution of ferritic steels | p. 275 |
Alloy design | p. 276 |
Titanium alloys | p. 277 |
Alloying parameters in bcc Ti | p. 277 |
Classification of commercially available alloys into ¿, ¿+ß, and ß-types | p. 277 |
Design of ß-type alloys | p. 279 |
Aluminum alloys | p. 280 |
Correlation of mechanical properties with classical parameters | p. 281 |
Alloying parameter, Mk | p. 282 |
A proposed method for the estimation of mechanical properties | p. 283 |
Estimation of the mechanical properties of aluminum alloys | p. 285 |
Non-heat treatable alloys | p. 285 |
Heat treatable alloys | p. 286 |
Strength map for alloy design | p. 287 |
Magnesium alloys | p. 288 |
Mk approach to the mechanical properties | p. 290 |
Design of heat-resistant Mg alloy | p. 292 |
Crystal structure maps for intermetallic compounds | p. 292 |
Hydrogen storage alloys | p. 294 |
Metal-hydrogen interaction | p. 294 |
Roles of hydride forming and non-forming elements | p. 295 |
Criteria for alloy design | p. 297 |
Alloy cluster suitable for hydrogen storage | p. 297 |
Alloy compositions | p. 299 |
Mg-based alloys | p. 299 |
A universal relation in electron density distributions in materials | p. 301 |
Conclusions | p. 303 |
Application of Computational And Experimental Techniques in Intelligent Design of Age-Hardenable Aluminum Alloys | |
Introduction | p. 307 |
Characterization of secondary phase and their structures | p. 309 |
Fundamental properties | p. 309 |
Crystalline structures | p. 309 |
Elastic constants | p. 311 |
Structural parameters | p. 311 |
Particle strength | p. 312 |
Morphology of 2nd Ps | p. 314 |
Thermal stability and evolution of 2nd Ps | p. 316 |
Evaluation of strengthening effects: Dislocation slip simulation | p. 318 |
Simulation methods | p. 321 |
Comparison with experiments | p. 323 |
¿′ {100}¿ in Al-Cu alloys | p. 323 |
{¿' + T1} phases in Al-Li-Cu alloys | p. 325 |
Predictions of optimum precipitate structures - Superposition of strengthening effects | p. 327 |
Spherical precipitates of bi-modal size distribution | p. 327 |
Mixture of two types of unshearable plate-like particles | p. 328 |
Stress-aging | p. 330 |
Background | p. 330 |
Stress oriented effect on plate precipitates | p. 330 |
Aligned precipitates effects on anisotropy | p. 335 |
Closure | p. 340 |
Multiscale Modeling of Intergranular Fracture in Metals | |
Introduction | p. 343 |
Coupling methods | p. 343 |
Quasicontinuum methods | p. 344 |
Equivalent continuum mechanics methods | p. 345 |
Constitutive-relation based scaling | p. 345 |
Multiscale modeling strategy | p. 348 |
Finite element modeling with cohesive zone models | p. 348 |
Molecular dynamics modeling | p. 349 |
Analysis | p. 352 |
Grain-boundary sliding | p. 352 |
Grain-boundary decohesion: Molecular Dynamics and Finite Element relationship | p. 353 |
Molecular Dynamics results | p. 355 |
Finite Element model | p. 357 |
Comparison between Finite Element and Molecular Dynamics models | p. 358 |
Defining a traction-displacement relationship from MD | p. 360 |
Discussion | p. 363 |
Multiscale Modeling of Deformation And Fracture in Metallic Materials | |
Introduction | p. 369 |
Atomistic simulation | p. 370 |
Overview | p. 370 |
Atomistic simulation methodology | p. 372 |
Connection with ab initio calculations | p. 374 |
Interface with dislocation dynamics and the continuum | p. 374 |
Case study: Fracture of nanocrystalline Ni | p. 376 |
Dislocation dynamics simulations of deformation | p. 379 |
DD methodologies | p. 381 |
Front-tracking approaches | p. 381 |
Level-set approach | p. 382 |
Coarse-grained DD: Link with the continuum | p. 383 |
Overview | p. 383 |
Methodologies | p. 384 |
Dislocation pattern formation | p. 384 |
Atomistic simulation | p. 385 |
DD simulation | p. 385 |
Summary | p. 386 |
Frontiers in Surface Analysis: Experiments And Modeling | |
Introduction | p. 391 |
Experimental results | p. 392 |
Theory: The BFS method | p. 393 |
Results | p. 395 |
Oxygen on Ru(0001): What do we """"see"""" with the STM on oxide surfaces? | p. 395 |
Ni Al(110): Using H2 beams to visualize the charge density of alloy surfaces | p. 400 |
Growth of Fe on Cu(100) and Cu(111): Intermixing and step decoration | p. 404 |
Fe4N(100) on Cu(100): A magnetism-driven surface reconstruction | p. 409 |
The Evolution of Composition And Structure at Metal-Metal Interfaces: Measurements And Simulations | |
Introduction | p. 415 |
Structure of metal-metal interfaces | p. 417 |
Experimental techniques | p. 419 |
Results and discussion | p. 422 |
Fe films on Al(001) and Al(110) | p. 422 |
Al(001) surface | p. 422 |
Al(110) surface | p. 425 |
Co films on Al(100) and Al(110) | p. 427 |
Al(100) surface | p. 427 |
Al(110) surface | p. 429 |
Pd films on Al(100) and Al(110) | p. 430 |
Al(001) surface | p. 430 |
Al(110) surface | p. 431 |
Ni films on Al(001), Al(110), and Al(111) | p. 432 |
Al(111) surface | p. 432 |
Al(110) surface | p. 434 |
Al(001) surface | p. 435 |
Ti films on Al(001), Al(110), and Al(111) | p. 436 |
Al(001) surface | p. 436 |
Al(110) surface | p. 438 |
Al(111) surface | p. 439 |
Computer modeling of interface evolution: Ni on Al surfaces | p. 440 |
Monte Carlo snapshots with VEGAS simulations | p. 440 |
Orientation dependence of the interface evolution | p. 442 |
Atomistic modeling of metal-metal interfaces using the BFS method | p. 445 |
Conclusion | p. 447 |
Modeling of Low Enrichment Uranium Fuels For Research And Test Reactors | |
Introduction | p. 451 |
The BFS method for alloys | p. 456 |
The U-Al system | p. 457 |
The U-Mo system | p. 459 |
The U-Si and U-Ge systems | p. 461 |
The Al-Mo system | p. 463 |
The Al-Si and Al-Ge systems | p. 463 |
The Mo-Si and Mo-Ge systems | p. 463 |
Modeling results for the Al/U-Mo interface | p. 463 |
The Al/U system | p. 465 |
The Al/U-Mo system | p. 465 |
Atom-by-atom analysis of Al deposition | p. 467 |
The role of Si in the interface | p. 472 |
The Al-Si/U system | p. 472 |
The Al-Si/U-Mo system | p. 474 |
The role of Ge in the interface | p. 477 |
The Al-Ge/U system | p. 479 |
The Al-Ge/U-Mo system | p. 479 |
Conclusions | p. 481 |
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