Multiscale Many-body Correlations and Structure in Chemistry Data

Explore the intersection of chemistry and advanced mathematical techniques in this insightful lecture on multiscale many-body correlations and structure in chemistry data. Delve into the integration of graphs, topology, and geometry to provide fundamental insights into complex chemical systems. Learn how traditional analytical methods in chemistry are being challenged by increasingly realistic and non-ideal conditions in computational chemistry. Discover the need for new tools to analyze complex data and identify correlations and structure across length and timescales. Examine the potential of recent developments in graph theory, computational topology, and geometry to address these challenges. Consider the opportunities for interdisciplinary collaboration between mathematicians and chemists to drive fundamental and applied research in both fields. Gain a deeper understanding of how advanced mathematical approaches can revolutionize the analysis of chemical data and provide new perspectives on complex chemical phenomena.

Aurora Clark (5/26/21): Multiscale Many-body Correlations and Structure in Chemistry Data