Abstract:Three different special quasirandom structures ͑SQS's͒ of the substitutional hcp A 1−x B x binary random solutions ͑x = 0.25, 0.5, and 0.75͒ are presented. These structures are able to mimic the most important pair and multi-site correlation functions corresponding to perfectly random hcp solutions at those compositions. Due to the relatively small size of the generated structures, they can be used to calculate the properties of random hcp alloys via first-principles methods. The structures are relaxed in orde… Show more
“…For simplicity, the ideal c/a ratio was used to generate SQS supercells with 8 and 16 atoms. [128] It should be mentioned that the order of a given figure may be Fig. 6 Predicted heat capacity for second-order magnetic transition of Ce as a function of temperature at 2.25 GPa pressure, slightly above the critical pressure [151] Basic and Applied Research: Section I altered with the variation of c/a ratio, e.g., changing from second nearest neighbor to third nearest neighbor, but it will not cause changes in the values of the correlation functions.…”
Section: Enthalpy Of Mixing In Binary and Ternary Substitutional Solumentioning
confidence: 97%
“…Based on the SQS supercells for binary fcc solutions, [70] we developed the SQS supercells for binary bcc, [127] binary hcp, [128] and ternary fcc solutions. [129] The SQS for ternary bcc and hcp solutions are also developed and will be published shortly.…”
Section: Enthalpy Of Mixing In Binary and Ternary Substitutional Solumentioning
Thermodynamics is the key component of materials science and engineering. The manifestation of thermodynamics is typically represented by phase diagrams, traditionally for binary and ternary systems. Consequently, the applications of thermodynamics have been rather limited in multicomponent engineering materials. Computational thermodynamics, based on the CALPHAD approach developed in the last few decades, has released the power of thermodynamics and enabled scientists and engineers to make phase stability calculations routinely for technologically important engineering materials. Within the similar time frame, first-principles quantum mechanics technique based on density functional theory has progressed significantly and demonstrated in many cases the accuracy of predicted thermodynamic properties comparable with experimental uncertainties. In this paper, the basics of the CALPHAD modeling and first-principles calculations are presented emphasizing current multiscale and multicomponent capability. Our research results on integrating first-principles calculations and the CALPHAD modeling are discussed with examples on enthalpy of formation at 0 K, thermodynamics at finite temperatures, enthalpy of mixing in binary and ternary substitutional solutions, defect structure and lattice preference, and structure of liquid, super-cooled liquid, and glass.
“…For simplicity, the ideal c/a ratio was used to generate SQS supercells with 8 and 16 atoms. [128] It should be mentioned that the order of a given figure may be Fig. 6 Predicted heat capacity for second-order magnetic transition of Ce as a function of temperature at 2.25 GPa pressure, slightly above the critical pressure [151] Basic and Applied Research: Section I altered with the variation of c/a ratio, e.g., changing from second nearest neighbor to third nearest neighbor, but it will not cause changes in the values of the correlation functions.…”
Section: Enthalpy Of Mixing In Binary and Ternary Substitutional Solumentioning
confidence: 97%
“…Based on the SQS supercells for binary fcc solutions, [70] we developed the SQS supercells for binary bcc, [127] binary hcp, [128] and ternary fcc solutions. [129] The SQS for ternary bcc and hcp solutions are also developed and will be published shortly.…”
Section: Enthalpy Of Mixing In Binary and Ternary Substitutional Solumentioning
Thermodynamics is the key component of materials science and engineering. The manifestation of thermodynamics is typically represented by phase diagrams, traditionally for binary and ternary systems. Consequently, the applications of thermodynamics have been rather limited in multicomponent engineering materials. Computational thermodynamics, based on the CALPHAD approach developed in the last few decades, has released the power of thermodynamics and enabled scientists and engineers to make phase stability calculations routinely for technologically important engineering materials. Within the similar time frame, first-principles quantum mechanics technique based on density functional theory has progressed significantly and demonstrated in many cases the accuracy of predicted thermodynamic properties comparable with experimental uncertainties. In this paper, the basics of the CALPHAD modeling and first-principles calculations are presented emphasizing current multiscale and multicomponent capability. Our research results on integrating first-principles calculations and the CALPHAD modeling are discussed with examples on enthalpy of formation at 0 K, thermodynamics at finite temperatures, enthalpy of mixing in binary and ternary substitutional solutions, defect structure and lattice preference, and structure of liquid, super-cooled liquid, and glass.
“…10 Each method has its own limitations in representing random solutions, and it seems that the SQS provide an optimal combination in terms of computational efficiency and accuracy. 11 The SQS mimic a random solution phase by creating a small (4-48 atoms) periodic structure that best satisfi es the pair and multisite correlation functions corresponding to a random solid solution, up to a certain coordination shell. In terms of computa- …”
Section: First-principles Calculations Of Materials Propertiesmentioning
confidence: 99%
“…Using the ATAT code, 6 the SQS are now available for bodycentered cubic, 12 B2, 13 Laves phases, 14 halite, 15 hexagonal-close packed, 16 and L1 2 structures. 17 Additionally, fi rst-principles calculations of a wide range of materials properties such as interfacial energy, 18,19 antiphase boundary energy, 20 diffusivity, 21,22 and elastic constants, 23 are also possible.…”
Section: First-principles Calculations Of Materials Propertiesmentioning
“…Even though the Additional information discrepancies on lattice stability between the classic CALPHAD modeling and DFTbased first-principles calculations still exist [123] progresses have been made to narrow the differences such as bcc Ti [124] and fcc W [125], even for liquid solution phases [44]. The efficient special quasirandom structures (SQS) approach [126][127][128] is particularly useful in predicting the enthalpy and entropy of mixing in solid solution phases using phonon or Debye models [129,130]. Consequently, the thermodynamic model parameters of all individual phases can be evaluated solely from DFT-based first-principles calculations.…”
Initially, the CALPHAD (Calculation of Phase Diagrams) method was established as a tool for treating thermodynamics and phase equilibria of multicomponent systems. Since then the method has been successfully applied to diffusion mobilities in multicomponent systems, creating the foundation for simulation of diffusion processes in these systems. Recently, the CALPHAD method has been expanded to other phase-based properties, including molar volumes and elastic constants, and has the potential to treat electrical and thermal conductivity and even two-phase properties, such as interfacial energies. Advances in the CALPHAD method or new information on specific systems frequently require that already assessed systems be re-assessed. Therefore, the next generation of CALPHAD necessitates data repositories so that when new models are developed or new experimental and computational information becomes available the relevant low-order (unary, binary, and ternary) systems can be re-assessed efficiently to develop the new multicomponent descriptions. The present work outlines data and infrastructure needs for efficient CALPHAD assessments and updates, highlighting the requirement for data repositories with flexible data formats that can be accessed by a variety of tools and that can evolve as data needs change. Within these repositories, the data must be stored with the appropriate metadata to enable the evaluation of the confidence of the stored data.Keywords: CALPHAD; Thermodynamics; Diffusion; Property data; Data and file repositories; Materials data infrastructure
ReviewThe first efforts using computational methods to describe Gibbs energy functions to represent the phases and describe phase equilibria were made more than 60 years ago as reviewed in [1]. However, only after computers became available did these efforts become systematic. In 1970, Kaufman and Bernstein [2] presented a collection of analytical thermodynamic descriptions of the Gibbs energy of the phases of binary and ternary systems as functions of temperature and concentration. These descriptions could be used for the calculation of phase equilibria and thermochemical properties in a large number of systems. This collection established the CALPHAD method as a valuable tool for the treatment of multicomponent a phase equilibria and spawned the development of several software packages and databases with collections of thermodynamic descriptions of multicomponent systems [1]. However, it soon became
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