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Physics-constrained inverse estimation of irradiation-induced strain in He–H ion-implanted 4H-SiC using nanoindentation and finite element modeling

Research Abstract

Nanoindentation is widely used to evaluate the mechanical properties of irradiated materials; however, its potential for quantifying irradiation-induced subsurface strain remains underexplored. In this work, an integrated experimental–numerical framework based on a physics-constrained inverse modeling approach is employed to estimate the magnitude of a depth-dependent irradiation-induced strain distribution in single-crystal 4H-SiC following sequential He and H ion implantation. The approach combines depth-sensing nanoindentation, finite element modeling (FEM), and a simplex-based inverse optimization routine to calibrate a physically motivated eigenstrain profile derived from ion-damage simulations. The strain field is assumed to follow a lognormal distribution consistent with independently determined damage profiles (stopping and range of ions in matter) and is implemented in the FEM model through a depth-dependent thermal expansion formulation. By minimizing the squared error between simulated and experimental force–displacement curves, the peak tensile strain is estimated to be ∼0.91%, accompanied by an effective Young's modulus of 310 GPa and a yield strength of 16.4 GPa. Independent validation by nano-beam precession electron diffraction confirms good agreement between the reconstructed and experimentally measured out-of-plane strain profiles in both magnitude and spatial distribution. The results demonstrate that nanoindentation, when combined with physics-based inverse modeling, can provide a practical tool for quantifying irradiation-induced strain and residual stress in nuclear ceramics. This methodology offers a complementary approach to diffraction-based techniques for assessing subsurface damage in ion-irradiated materials relevant to advanced nuclear systems.

Research Authors
M. Bensalem; N. Daghbouj; J. Duchoň; B. S. Li; A. T. AlMotasem; S. Magalhães ; A. Yi; F. Munnik; Xin Ou; W. J. Weber; T.Polcar
Research Date
Research Department
Research Journal
Journal of Applied Physics
Research Pages
055103
Research Publisher
American Institute of Physics
Research Rank
Q2
Research Vol
140
Research Website
https://pubs.aip.org/aip/jap/article/140/5/055103/3400333
Research Year
2026

Tailoring Electrolyte Chemistry Through Precise Organic Synthesis for Lithium Metal Batteries

Research Authors
Jingzhu Chen, Haoyu Wu, Sizhe Li, Yuheng Sun, Cheng Chang, Shiwei Liu, Pei Song Chee, Abdelnaby M. Elshahawy, Salah A. Makhlouf, Cao Guan
Research Department
Research Journal
Advanced Energy Materials
Research Year
2026
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