Aims and scope

The Journal defines Thermophysics as the study and application of the equilibrium and transport properties of systems in their gas, liquid, or solid states, of the transformation between such states under non-equilibrium conditions and of the relationship between the molecular characteristics of the system and its macroscopic properties.
We aim to:
Serve as an international medium for the publication of peer-reviewed papers covering experimental, theoretical, and computational work in the field of Thermophysics. The systems encompassed include soft matter, bio-materials, nano-fluids, ionic liquids, phase change materials and thin films. A wide range of variables including temperature, pressure, composition, wavelength, and others are of interest.
Publish papers on instrumentation and measurement techniques in thermophysics (including densimetry, calorimetry,  viscometry, photoacoustic and photothermal techniques, light scattering for diffusion).  
Assist generators and users of thermophysical property data who aim for an understanding of property-function relationships. It is in the latter context that the use of computer simulations of model molecular systems will be included.

Cover a wide range of topics such as

• Thermodynamic properties, including p-V-T behavior, phase equilibria, heat capacity, enthalpy, thermal expansion, speed of sound as well as other derivative properties and excess properties of mixtures, and critical phenomena.
• Transport properties, including viscosity; thermal and electrical conductivity; mass diffusivity; thermal diffusivity, Soret coefficient, non-Newtonian behavior; and thermal, thermoacoustic, and other diffusion waves.
• Optical and thermal radiative properties, including dielectric constant, refractive index, emissivity, reflectivity, transmissivity, and absorptivity.
• Interfacial properties, including solid-solid, solid-fluid, and fluid-fluid interfaces; surface tension; interfacial profiles; interfacial transport and wetting.
• Nonequilibrium thermodynamics, including nucleation phenomena, fluctuations, metastability, mesoscopic systems, and micro-heterogeneous systems.
• Metrology in thermophysics, including development of measurement techniques and calibration standards, measurements of fundamental constants, and uncertainty assessments.
• Established and emerging areas of the engineering and medical applications of thermophysical properties.

Papers accepted for publication in the International Journal of Thermophysics must represent significant contributions to the field of thermophysics. Comprehensive review papers within a sub-field of thermophysics are encouraged.

In particular,

• Papers including experimental data must include supplemental information with the tabulated data (or a persistent link to a data repository for it), a detailed uncertainty analysis for all measured variables, a full description of the instrument used, and details of the experimental procedure, calibration, etc. Such papers must put new results in the context of the existing related literature—generally explicit comparisons with previous results are expected and comparisons with physically based models are encouraged. Experimental results do not need to be accompanied by mathematical modelling. Publication of experimental data and mathematical equations should follow the IUPAC Good Reporting Practice recommendations (https://iupac.org/project/2019-013-1-100/). To reveal and prevent data reporting errors, the procedures published in Int. J. Thermophys. 26, 307 (2005); 30, 371 (2009); 32, 1999 (2011) are implemented in cooperation with the Thermodynamics Research Center (TRC) of the National Institute of Standards and Technology (NIST).
• Papers providing new mathematical or theoretical models should indicate how they improve existing models or contribute to an understanding of some phenomenon in thermophysics. It is not appropriate simply to apply existing mathematical techniques to model systems, such as those involved in heat and mass transfer or thermoelasticity unless they contribute directly to a significant advance in the understanding of aspects of Thermophysics. Similarly, papers that report numerical results for the application of an existing theory (such as density functional theory) for the evaluation of the structural and/or mechanical properties of new materials (e.g. Heusler solids) are inappropriate unless accompanied by thermophysical property data. Papers implementing neural network models for predicting thermophysical properties should not only include training data for the model but must include all data used for validation and verification of the model.
• Papers including numerical modeling and simulation results must include a discussion of how the work enhances the understanding of the relationship between real systems and the characteristics of their molecular constituents. They must include a detailed uncertainty analysis (convergence, grid dependence etc.) and validation with existing relevant data or models.
• Papers presenting data correlations and models, including data evaluations and predictions, equations of state, standard reference data, databases, thermophysical property information systems are welcome but must include rigorous critical evaluation of experimental data employed.
• Papers describing applications of thermophysics should include novel experimental data on thermophysical properties of the materials used and not only a superficial evaluation of the heat transfer performance of the examined system. So, manuscripts focusing on the evaluation of the heat transfer performance of a system (e.g. solar panel, heat exchanger, etc.) when using a different working fluid (e.g. nanofluid or PCMs, etc.) are not appropriate.