研究目的
To understand the effect on the order-disorder transition via a fast heating-cooling protocol that mimics LSA and to explore the formation of different phases under various annealing conditions and substrate preferences.
研究成果
The study demonstrates that the morphology of diblock copolymer thin films can be controlled by annealing conditions and substrate preferences. The formation of a metastable island phase with tunable roughness is highlighted as a potential strategy for creating surfaces with controlled nanoscale features.
研究不足
The model's simplicity may not capture all the complexities of real polymer systems. The finite size of the simulation box and the periodic boundary conditions may influence the results. The study focuses on a specific diblock copolymer system, and the findings may not be directly applicable to other polymer systems.
1：Experimental Design and Method Selection:
The study employs molecular dynamics simulations to model the phase behavior of a diblock copolymer thin film under soft confinement. The simulations are designed to mimic laser spike annealing conditions with varying heating cycle lengths, film thicknesses, and substrate-polymer affinities.
2：Sample Selection and Data Sources:
The system consists of a coarse-grained A-b-B diblock copolymer thin film with a free surface and a solid substrate. Different system sizes (3000, 4000, or 6000 chains) are used to probe the effect of film thickness.
3：List of Experimental Equipment and Materials:
The simulations are performed using the LAMMPS molecular dynamics simulation package. The model includes bonded interactions via a harmonic potential and non-bonded interactions via Lennard-Jones potentials.
4：Experimental Procedures and Operational Workflow:
The simulation involves heating the system to a peak temperature (Tpeak) with different ramp periods (τ), followed by cooling back to the initial temperature (T0). The system's morphology is analyzed before and after the annealing cycle.
5：0). The system's morphology is analyzed before and after the annealing cycle.
Data Analysis Methods:
5. Data Analysis Methods: The study uses several order parameters (P2, Φ, 2D structure factor, roughness parameter RP, and surface area parameter SP) to characterize the system's order and morphology.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
