Ing. Prokop Hapala, Ph.D.
I am mainly interested in computational design of molecular nanomachines, particularly molecular computers, and strategies for their nanofabrication. For this purpose, I also develop high-performance simulation methods to advance computational design in nanotechnology and surface chemistry. I am the principal investigator of a GACR Junior Star project CADTARSIS: “Computer-Aided Design of Templated Assembling, Replication, and Synthesis on Ionic Substrates.” This project focuses on designing new classes of photosensitive polymer templates capable of self-assembling on ionic crystal surfaces, akin to DNA origami. The ultimate goal is to integrate biomimetic bottom-up nanofabrication techniques with photolithography, enabling precise positioning of molecular components, such as switches and memory cells, and their interconnection into complex computational circuits – essentially molecular chips. The foundations of the proposed method are summarized in a paper Computational Design of Photosensitive Polymer Templates To Drive Molecular Nanofabrication, ACS Nano (2024).
I develop various high-speed computational methods and software for molecular and atomistic simulations, focusing on self-assembly at surfaces, surface chemistry, and the interpretation of high-resolution atomic force microscopy (AFM) and other scanning probe microscopy (SPM) techniques. These methods leverage both classical and quantum approaches to achieve an optimal balance between computational efficiency and accuracy.