A GLOBALLY CONVERGENT MODIFIED NEWTON METHOD FOR THE DIRECT MINIMIZATION OF THE OHTA-KAWASAKI ENERGY WITH APPLICATION TO THE DIRECTED SELF-ASSEMBLY OF DIBLOCK COPOLYMERS

SIAM JOURNAL ON SCIENTIFIC COMPUTING(2022)

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摘要
We propose a fast and robust scheme for the direct minimization of the OhtaKawasaki energy that characterizes the microphase separation of diblock copolymer melts. The scheme employs a globally convergent modified Newton method with line search which is shown to be mass-conservative, energy-descending, asymptotically quadratically convergent, and typically three orders of magnitude more efficient than the commonly used gradient flow approach. The regularity and the first-order condition of minimizers are carefully analyzed. A numerical study of the chemical substrate guided directed self-assembly of diblock copolymer melts, based on a novel polymer-substrate interaction model and the proposed scheme, is provided.
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关键词
block copolymer, Newton method, Hessian approximation, directed self-assembly, Ohta-Kawasaki model, nonlocal Cahn-Hilliard model
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