Machine-Learning Potentials Predict Orientation- and Mode-Dependent Fracture in Refractory Diborides
Shuyao Lin, Zhuo Chen, Rebecca Janknecht, Zaoli Zhang, Lars Hultman, Paul H. Mayrhofer, Nikola Koutna, Davide G. Sangiovanni
TL;DR
This work addresses the challenge of predicting fracture properties in brittle ceramics by developing machine-learning interatomic potentials (MLIPs) trained on ab initio data for TiB$_2$, ZrB$_2$, and HfB$_2$ (TMB$_2$). Using $K$-controlled molecular statics with atomistic cracked-plate models, the authors map orientation- and mode-dependent fracture pathways across six crack geometries and extrapolate macroscale initiation toughness $K_{Ic}^{inity}$ and fracture strength $\sigma_{ ext{max}}^{inity}$, finding intrinsic brittleness with $K_{Ic}^{inity}$ in the ~1.8–2.9 MPa$\, ext{m}^{1/2}$ range and $\sigma_{ ext{max}}^{inity}$ around 2.0 GPa. They further explore mixed Mode-I/II loading in TiB$_2$, revealing mode-dependent crack deflection onto pyramidal planes and establishing a practical mixed-mode framework with $K^{ ext{mix}}=\\sqrt{K_I^2+K_{II}^2}$ and related partitioning, supported by nanoindentation experiments showing oblique crack trajectories near 40 degrees. Comparisons with experiments highlight microstructural effects not captured in defect-free atomistic models, motivating future extensions to finite temperature and defect-inclusive microstructures. Overall, the MLIP-based approach provides a predictive, atomistic framework for orientation- and mode-dependent fracture in refractory ceramics with potential for broader applicability.
Abstract
Fracture toughness ($K_\mathrm{Ic}$) and fracture strength ($σ_\mathrm{f}$) are key criteria in the selection and design of reliable ceramics. However, their experimental characterization remains challenging -- especially for ceramic thin films, where size and interfacial effects hinder accurate and reproducible measurements. Here, machine-learning interatomic potentials (MLIPs) trained on \textit{ab initio} datasets of single crystal models deformed up to fracture are used to characterize transgranular cleavage in pre-cracked ceramic diboride TMB$_2$ (TM = Ti, Zr, Hf) lattices through stress intensity factor ($K$)-controlled loading. Mode-I simulations performed across distinct crack geometries show that fracture is primarily driven by straight crack extension along the original plane. The corresponding macroscale fracture-initiation properties ($K_\mathrm{Ic} \approx 1.7$-2.9 MPa$\cdot\sqrt{\text{m}}$, $σ_\mathrm{f} \approx 1.6$-2.4 GPa) are extrapolated using established scaling laws. Considering TiB$_2$ as a representative system, additional simulations explore loading conditions ranging from pure Mode-I (opening) to Mode-II (sliding). TiB$_2$ models containing prismatic cracks exhibit their lowest fracture resistance under mixed-mode conditions, where the crack deflects onto pyramidal planes--as confirmed by nanoindentation tests on TiB$_2$(0001) thin films. This study establishes $K$-controlled, MLIP-based simulations as predictive tools for orientation- and mode-dependent fracture in ceramics. The approach is readily extendable to finite temperatures for evaluating fracture behavior under conditions relevant to refractory applications.
