Publications by authors named "Mikolaj Jakowski"
Article Synopsis
- Diblock copolymers experience microphase separation due to the repulsive interactions between different types of monomers, but this process is more complex in thin films due to additional factors like confinement and surface interactions.
- Traditional physics-based models have been used to analyze neutron reflectivity data from these films, but extracting important interaction parameters can be difficult and error-prone.
- This study introduces a new method using advanced neural networks, particularly variational autoencoders, to more accurately and efficiently extract these interaction parameters from simulation data related to diblock copolymer thin films.
