I believe that the key player for the next-generation hardware will be ubiquitous electronics with artificial intelligence (AI), which can perform cognitive functions. Electronics has become essential to human lives and the advancement of AI allows us to incorporate it to innovation in electronics. To realize electronics everywhere and to improve these emerging AI-based applications, innovation in electronics is mandatory. Current electronics has been dominated by Si-based devices because of their exceptional cost-effectiveness and mature processing system. However, there are clear fundamental limitations in Si-based electronics as intrinsic properties of Si does not satisfy required functionalities in terms of electrical, optical, and mechanical properties. In this regard, it has become increasingly important to develop non-Si-based electronics with higher performance, self-power, low mechanical stiffness, and multifunctionality. Unfortunately, current methodologies involve extremely high costs of manufacturing non-Si alternatives and there is no universal approach to assemble dissimilar non-Si alternatives on a single platform, which has delayed the progress in utilizing non-Si electronics. Therefore, a new methodology has been highly required for non-Si materials and devices, which will eventually innovate the current hardware systems. My research aims to suggest new solutions to solve the problems in a broad range of research scopes from materials growth to solid-state electronic device physics and systems.