Computational science, situated at the crossroads of scientific applications along with computer science and numerical methods, has had a grown prominence in applications spanning from chemistry to physics, education to genetics. Computational science has gained a junction position along with theoretical and experimental aspects of almost every scientific discipline. Likewise, high performance computing, as the setup in which the processing power of multiple servers is integrated to conduct tasks requiring complex computations, encompasses solutions capable of processing data and executing calculations at a rate that significantly exceeds other computers. Such aggregate computing power makes it possible for science, engineering and business-related organizations to be able to solve large problems that could otherwise prove to be unapproachable. To put it differently, high performance computing has enabled the processing of massive amounts of data, running simulations and analyzing complex phenomena like chemical structures, genomics, robotics, climate models, healthcare, drug discovery, engineering, manufacturing, financial risk predictions, modeling and so forth.
Virtual reality, on the other hand, provides immersive, realistic and engaging experience with far-reaching applications, has found its way into various industries, proving significant impacts on healthcare, education, applied sciences, engineering entertainment, and many more. These transformative technological territories have in a way redefined innovation, research, implementations and applications by integrating algorithms, computer simulations and mathematical modeling for the solution of complex problems. When complemented with high-performance computing, supercomputers along with distributed systems are at stake to carry out massive computations at unprecedented speed. Correspondingly, Artificial Intelligence (AI) systems can perform tasks such as learning, reasoning and problem-solving by simulating human intelligence. Therefore, computational science and its applications manifest their utilities in many areas including mathematics, computer science, data science, physics, computational physics, biology, computational biology, chemistry, computational chemistry, information science, applied sciences, engineering, education, finance, media, entertainment, among others.
Based on these means, uses and benefits, our special issue aims at contributing to modern research theory and applications in different areas by focusing on essential components of computational science, high computing, virtual reality and other related technologies to generate applicable cost-effective, scalable, accessible and secure solutions.
The topics include but are not limited to: