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Published May 2010 | public
Journal Article

Vibrational thermodynamics of materials

Abstract

The literature on vibrational thermodynamics of materials is reviewed. The emphasis is on metals and alloys, especially on the progress over the last decade in understanding differences in the vibrational entropy of different alloy phases and phase transformations. Some results on carbides, nitrides, oxides, hydrides and lithium-storage materials are also covered. Principles of harmonic phonons in alloys are organized into thermodynamic models for unmixing and ordering transformations on an Ising lattice, and extended for non-harmonic potentials. Owing to the high accuracy required for the phonon frequencies, quantitative predictions of vibrational entropy with analytical models prove elusive. Accurate tools for such calculations or measurements were challenging for many years, but are more accessible today. Ab initio methods for calculating phonons in solids are summarized. The experimental techniques of calorimetry, inelastic neutron scattering, and inelastic X-ray scattering are explained with enough detail to show the issues of using these methods for investigations of vibrational thermodynamics. The explanations extend to methods of data analysis that affect the accuracy of thermodynamic information. It is sometimes possible to identify the structural and chemical origins of the differences in vibrational entropy of materials, and the number of these assessments is growing. There has been considerable progress in our understanding of the vibrational entropy of mixing in solid solutions, compound formation from pure elements, chemical unmixing of alloys, order–disorder transformations, and martensitic transformations. Systematic trends are available for some of these phase transformations, although more examples are needed, and many results are less reliable at high temperatures. Nanostructures in materials can alter sufficiently the vibrational dynamics to affect thermodynamic stability. Internal stresses in polycrystals of anisotropic materials also contribute to the heat capacity. Lanthanides and actinides show a complex interplay of vibrational, electronic, and magnetic entropy, even at low temperatures. A "quasiharmonic model" is often used to extend the systematics of harmonic phonons to high temperatures by accounting for the effects of thermal expansion against a bulk modulus. Non-harmonic effects beyond the quasiharmonic approximation originate from the interactions of thermally-excited phonons with other phonons, or with the interactions of phonons with electronic excitations. In the classical high temperature limit, the adiabatic electron–phonon coupling can have a surprisingly large effect in metals when temperature causes significant changes in the electron density near the Fermi level. There are useful similarities in how temperature, pressure, and composition alter the conduction electron screening and the interatomic force constants. Phonon–phonon "anharmonic" interactions arise from those non-harmonic parts of the interatomic potential that cannot be accounted for by the quasiharmonic model. Anharmonic shifts in phonon frequency with temperature can be substantial, but trends are not well understood. Anharmonic phonon damping does show systematic trends, however, at least for fcc metals. Trends of vibrational entropy are often justified with atomic properties such as atomic size, electronegativity, electron-to-atom ratio, and mass. Since vibrational entropy originates at the level of electrons in solids, such rules of thumb prove no better than similar rules devised for trends in bonding and structure, and tend to be worse. Fortunately, the required tools for accurate experimental investigations of vibrational entropy have improved dramatically over the past few years, and the required ab initio methods have become more accessible. Steady progress is expected for understanding the phenomena reviewed here, as investigations are performed with the new tools of experiment and theory, sometimes in integrated ways.

Additional Information

© 2009 Elsevier Ltd. Received 12 February 2009; revised 19 May 2009; accepted 28 May 2009. Available online 10 June 2009. This work would not have been possible without the contributions of my junior collaborators at Caltech, especially L. Anthony, L.J. Nagel, H.N. Frase, A.F. Yue, M.E. Manley, P.D. Bogdanoff, J.Y.Y. Lin, T.L. Swan-Wood, A.B. Papandrew, O. Delaire, M.S. Lucas, M.G. Kresch, M.L. Winterrose, and J. Purewal, several of whom are taking this field into new directions. I acknowledge a debt to my collaborators in research, especially R. Nicklow, J.L. Robertson, R. Osborn, S. Rosenkranz, R. Ravelo, M. Baskes, R.J. McQueeney, W. Sturhahn, T.S. Toellner, E.E. Alp, I. Halevy, D. Abernathy, D.A. Neuman, L. Nazar, H.-K. Mao. Software development and computational science were important in this work, and will be more so in the future. For this I acknowledge contributions from M.A.G. Aivazis, T.M. Kelley, M. McKerns, J.B. Keith. Important ideas have come from stimulating conversations over the years with A. van de Walle, V. Ozolins, G. Ceder, M. Asta, D.D. Johnson, D. de Fontaine, A.G. Khachaturyan, A. Zunger, and P. Rez. This work was supported by the DOE BES under Grant DE-FG02-03ER46055.

Additional details

Created:
August 19, 2023
Modified:
October 20, 2023