Editorial Special Issue on Feature Papers of Thermo in 2022
Editorial Note
- The use of the CALPHAD method for the thermodynamic assessment of the presence of nickel in Lead–Bismuth Eutectic (LBE) coolant, studied by P. Samui and R. Agarwal [5];
- The parametrization of the NRTL model in process simulation was studied by L. Fernández et al. [6].
- The use of artificial neural networks to highlight relationship between the design, operational conditions, and performance of ejectors was recommended by M. Bencharif et al. [7].
- A multiscale modeling approach for predicting the nonlinear shrinkage of metal parts during manufacturing by bound metal deposition was proposed by D.G. Luchinsky et al. [8] This article provides deep physical insight into not only the associated mechanisms but also mutual connections between scales by exploring simulation data moving from atomic dynamics to finite element models.
- The use of DSC measurements to depict thermal transformations of polymorphic long-chain normal paraffins (n-C32H66 and n-C36H74), published by C.M. Earnest et al. [9].
- The use of alkali-halide-based eutectic mixtures as phase-change materials for heat storage applications, as described by A. Redkin et al. [10].
Funding
Conflicts of Interest
References
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Jacquemin, J. Editorial Special Issue on Feature Papers of Thermo in 2022. Thermo 2023, 3, 329-330. https://doi.org/10.3390/thermo3020020
Jacquemin J. Editorial Special Issue on Feature Papers of Thermo in 2022. Thermo. 2023; 3(2):329-330. https://doi.org/10.3390/thermo3020020
Chicago/Turabian StyleJacquemin, Johan. 2023. "Editorial Special Issue on Feature Papers of Thermo in 2022" Thermo 3, no. 2: 329-330. https://doi.org/10.3390/thermo3020020
APA StyleJacquemin, J. (2023). Editorial Special Issue on Feature Papers of Thermo in 2022. Thermo, 3(2), 329-330. https://doi.org/10.3390/thermo3020020