This presentation examines the potential of hydrogen bonds in water as possible building blocks in molecular artificial intelligence (AI) systems. The unique properties of hydrogen bonds can serve as the basis for new intelligent technologies. Research includes:
Modeling the formation and stability of one-dimensional (1D) and two-dimensional (2D) hydrogen bond networks.
Investigating the interactions between water and other materials under various conditions.
Identifying stable hydrogen bond structures for use as memory and logic elements in molecular computing.
Evaluating the feasibility of hydrogen bond-based AI.
An important aspect of this research involves the use of resources for high-performance molecular dynamics (MD) simulations, large-scale data analysis, and computational modeling. By integrating advanced computational tools with molecular modeling, this research aims to pave the way for new AI architectures. The results may contribute to the future of molecular AI and innovative computational paradigms.
Funding
This work used the Texas Advanced Computing Center (TACC) The University of Texas at Austin through allocation TG-CIS240528 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by U.S. National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296.
The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing computational resources that have contributed to the research results reported within this paper. URL: http://www.tacc.utexas.edu Project Charge Code: ECS24010