A Paradigm Shift in Scientific Research: The Convergence of Simulation, Machine Learning, and Cloud-Based Technologies
Minho Lee and Minkyu Park*
Virtual Lab Inc., Technical Research Center, Seoul 04773, South Korea
*Corresponding author: minkyu.park@matsq.com
Keywords: Artificial Intelligence, Simulation, SaaS, Machine Learning, Materials Square
Scientific research is undergoing a significant transformation driven by the convergence of advanced simulation technologies, machine learning, and Software as a Service (SaaS) platforms. This integration is exemplified by Materials Square and D3Square, a cloud-based virtual laboratory that enables comprehensive materials research.
High-performance computing (HPC) has made it possible to conduct intricate simulations of real-world systems, offering essential data that enhances machine learning algorithms. These algorithms, by analyzing vast amounts of simulation data, can uncover complex patterns and produce highly accurate predictive models. SaaS further advances this integration by providing accessible and cost-effective tools over the internet, promoting a democratized approach to research. Materials Square stands at the forefront of this technological evolution, symbolizing a shift towards a more interconnected and accessible scientific research paradigm.
In this presentation, we will explore how the combination of simulation, machine learning, and SaaS technologies is changing the landscape of scientific research. We will focus on the key features of Materials Square and D3Square as a virtual lab and how it contributes to creating a more open and accessible research environment.