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### The Discrete deformation twinning model
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*We introduce stochasticity for the nucleation and growth events of twinning through random sampling, similar to Monte Carlo Methods.
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*The ease or difficulty of a twinning event is controlled by adjusting the frequency of sampling.
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*At each voxel, the state of twinning is treated as a discrete quantity, unlike the approach based on diffused volume fraction.
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*The kinetics of twinning occur in the form of a “jump,” rather than following a rate equation as in the “pseudo-slip” approach.
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*The jumped state is evaluated using the correspondence matrix from Niewczas, Acta Materialia, 2010.
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* We introduce stochasticity for the nucleation and growth events of twinning through random sampling, similar to Monte Carlo Methods.
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* The ease or difficulty of a twinning event is controlled by adjusting the frequency of sampling.
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* At each voxel, the state of twinning is treated as a discrete quantity, unlike the approach based on diffused volume fraction.
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* The kinetics of twinning occur in the form of a “jump,” rather than following a rate equation as in the “pseudo-slip” approach.
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* The jumped state is evaluated using the correspondence matrix from Niewczas, Acta Materialia, 2010.
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## Contact Information
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