High-entropy rare-earth (RE) disilicates are promising next-generation thermal/environmental barrier coating (T/EBC) materials. However, their resistance to calcium–magnesium–aluminosilicate (CMAS) corrosion and the underlying mechanisms remain insufficiently understood and require further improvement. This study aims to systematically investigate the CMAS corrosion behavior and predictive lifetime assessment of designed stoichiometric (Er1/4Y1/4Lu1/4Yb1/4)2Si2O7 and non-stoichiometric (Er1/6Tm1/6Y1/15Gd1/15Lu4/15Yb4/15)2Si2O7. The incorporation of Tm and Gd, characterized by their distinct ionic radii, is designed to enhance their phase stability. Mechanistic analysis reveals that lattice distortion induced by multication doping suppresses CMAS infiltration, while the introduction of larger-radius RE3+ ions promotes Ca2+ depletion in the CMAS melt, reducing its corrosive activity. A temperature-dependent transition in corrosion mechanisms is also elucidated. Thermodynamic–kinetic competition dominates at 1300 °C, whereas a dissolution–reprecipitation mechanism prevails at 1500 °C due to accelerated ion diffusion. Furthermore, an innovative extended Kalman filter (EKF) model is developed, enabling highly accurate prediction of the long-term corrosion depth and rate at 1300 °C, with an error of less than 3%. The experimental results demonstrate that both materials exhibit exceptional CMAS corrosion resistance, reducing the corrosion depth by approximately 70% compared with single-component RE2Si2O7. This work not only clarifies the corrosion mechanisms and compositional design principles of high-entropy rare-earth disilicates but also provides a novel methodology for predictive lifetime assessment, advancing the development of next-generation T/EBC systems.
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Open Access
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To explore the MAX phase with experimental value over a wider range, a data-driven machine learning (ML) model was trained to rapidly predict the stability of MAX phases via a random forest classifier (RFC), support vector machine (SVM), and gradient boosting tree (GBT), where the deemed significant descriptors were compiled from the literature and the stability of 1804 combinations of MAX phases was collected. Using this well-trained model, 190 new MAX phases were screened from 4347 MAX phases, 150 of which met the criteria for thermodynamic and intrinsic stability on the basis of first-principles calculations. Additionally, with the help of the ML model, the mean number of valence electrons and the valence electron deviation are the two most critical factors influencing stability. Additionally, one of these predicted MAX phases, Ti₂SnN, was experimentally synthesized through Lewis acid substitution reactions at 750 °C, with interesting A-site deintercalation and self-extrusion. First-principles calculations revealed that Ti₂SnN has lower elastic properties, higher damage tolerance and fracture toughness, and a higher coefficient of thermal expansion (CTE).
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RE2Si2O7 is promising materials for environmental barrier coating (EBC), but the vast phase space poses challenges for the screening of RE2Si2O7. It follows that a combined approach of first principles calculations and machine learning is proposed for this problem, with establishing a comprehensive database comprising β-, γ- and δ-RE2Si2O7 (RE = La–Lu, Y, Sc) and correlating their mechanical/thermal properties on structural characteristics. It is revealed the [O3SiOSiO3] structure and polyhedron distortion affect mechanical properties of RE2Si2O7, while criteria for selecting RE2Si2O7 with low thermal conductivity are identified, including complex crystal structures, chemical bond inhomogeneity, and strong non-harmonic lattice vibrations. Also, the machine learning model accurately predicts the coefficient of thermal expansion (CTE) and minimum thermal conductivity (λmin) of RE2Si2O7, with volume and mass variations identified as critical factors, respectively. This integrated approach efficiently screens RE2Si2O7 for EBC application and enables rapid assessments of their thermal properties.
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A 314-type MAB phase V3PB4 with hexagonal crystal structure is synthesized by self-propagating high temperature combustion synthesis (SHS), with the help of the full first-principles predictions for the phase stability and adiabatic combustion temperature of SHS. Using XRD and TEM, V3PB4 crystallizes in the space group of P
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To respond the recent experimental advances, the phase stability, mechanical properties, phonon as well as infrared- and Raman-active modes, thermal expansion and heat capacity were investigated by density functional theory for the S-containing MAX carbides and borides (M from Ⅲ B to Ⅷ B), of importance, well consistent with the available experimental results. After examining the thermodynamic competition with all the competing phases and intrinsic stability by their lattice dynamics, 18 MAX phases were screened out from 138 ones. Using the “bond stiffness” model as well as the associated criterion for damage tolerance and fracture toughness, the ratio of bond stiffness of weakest M−S to the strongest M-X bonds (kmin/kmax) over 1/2 indicates their intrinsic brittleness of all S-containing MAX phases except Nb4SC3. Including the contributions from phonon and electrons, their linear thermal expansion coefficients [(8.1–13.6)×10−6 K−1, 300–1,300 K] and heat capacities (Cp) as a function of temperature are predicted. Of much interest, a well-established relationship between molar Cp of the MAX and MX phases is theoretically deduced in the present work.
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MoAlB as a typical member of MAB phases has attracted much-growing attention due to its unique properties. However, the low production of MoAlB powders limits its further development and potential applications. In the present work, the ultra-fast preparation of high-purity MoAlB powders in a few seconds is achieved by self-propagating high-temperature synthesis (SHS) using a raw powder mixture at an atomic ratio of Mo : Al : B = 1 : 1.3 : 1. SHS reaction mechanism is obtained by analyzing the corresponding composition changes of starting materials. Furthermore, the thermodynamic prediction for the SHS reaction is consistent with the present experiments, where the preparation of MoAlB also conforms to two common self-propagating conditions of the SHS. The enthalpy vs. temperature curve shows that the adiabatic temperature of the reaction decreases with the amount of excuse Al increasing but increases when pre-heating the reactants. Also, this thermodynamic calculation provides a new idea for the preparation of other MAB phases by the SHS.
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Mo2Ga2C is a new MAX phase with a stacking Ga-bilayer as well as possible unusual properties. To understand this unique MAX phase structure and promote possible future applications, the structure, chemical bonding, and mechanical and thermodynamic properties of Mo2Ga2C were investigated by first-principles. Using the "bond stiffness" model, the strongest covalent bonding (1162 GPa) was formed between Mo and C atoms in Mo2Ga2C, while the weakest Ga-Ga (389 GPa) bonding was formed between two Ga-atomic layers, different from other typical MAX phases. The ratio of the bond stiffness of the weakest bond to the strongest bond (0.33) was lower than 1/2, indicating the high damage tolerance and fracture toughness of Mo2Ga2C, which was confirmed by indentation without any cracks. The high-temperature heat capacity and thermal expansion of Mo2Ga2C were calculated in the framework of quasi-harmonic approximation from 0 to 1300 K. Because of the metal-like electronic structure, the electronic excitation contribution became more significant with increasing temperature above 300 K.
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