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About this paper
Yazhuo Liu, Kunqing Ding, Xiaoguo Gong, Zifeng Wang, Yichen Yang, Yifeng Che, Wen Chen, Josh Kacher and 3 more
GBClaw connects researcher-guided AI agents with simulations and analysis to screen grain boundaries and investigate unexpected results. In 14 selected asymmetric ⟨110⟩ tilt boundaries in nickel, it identifies primary and secondary misfit dislocations and their Burgers vectors. For the {111}/{331}(22°) boundary, modeled athermal shear strength is 1,074 MPa without secondary dislocations and 530 MPa with them; these values apply to constrained periodic models, not universal strengths.
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