Mathematical models and simulations are transforming our understanding of chemical systems, enabling precise predictions of molecular behavior and reaction mechanisms. Quantum chemistry, molecular dynamics, and density functional theory provide insights into electronic structures, catalysis, and material properties at the atomic level. High-performance computing accelerates drug discovery, materials design, and energy storage innovations by optimizing reaction pathways and predicting novel compounds. Machine learning and artificial intelligence enhance computational efficiency, allowing for the rapid screening of molecular libraries. Simulated spectra and thermodynamic models aid experimental validation, reducing the need for costly trial-and-error methods. As technology advances, theoretical & computational chemistry continues to shape diverse fields, from nanotechnology and biophysics to green chemistry and space exploration, bridging theoretical principles with real-world applications.
Title : Rational design of battery cathode materials
Kyeongjae Cho, University of Texas at Dallas, United States
Title : Pharmaceutical chemistry studies of novel biologics and drugs for chronic obstructive pulmonary disease
Yong Xiao Wang, Albany Medical College, United States
Title : Theoretical modeling in organic nanophotonics: Processes and devices
Alexander Bagaturyants, Retired, Israel
Title : Hot atom chemistry - Past, present and future
Shree Niwas Chaturvedi, Centre for Aptitude Analysis and Talent Search, India
Title : Chemical engineering of vanadium, titanium or chromium zeolites for application in environmental catalysis
Stanislaw Dzwigaj, Sorbonne Université, France
Title : Distal functionalization via transition metal catalysis
Haibo Ge, Texas Tech University, United States