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 : Advances in plasma-based waste treatment for sustainable communities
Hossam A Gabbar, Ontario Tech University, Canada
Title : Nanostructured biodevices based on carbon nanotubes and glyconanoparticles for bioelectrocatalytic applications
Serge Cosnier, Silesian University of Technology, Poland
Title : Carbon capture and storage: The impact of impurities in CO2 streams
Andy Brown, Progressive Energy Ltd, United Kingdom
Title : Supramolecular nano chemistries: Fighting viruses, inhibiting bacteria and growing tissues
Thomas J Webster, Hebei University of Technology, China
Title : Chemical engineering of vanadium and tantalum zeolites for application in environmental catalysis
Stanislaw Dzwigaj, Sorbonne Universite, France
Title : Disrupting TNF-α and TNFR1 interaction: Computational insights into the potential of D-Pinitol as an anti-inflammatory therapeutic
Ferran Acuna Pares, Universidad Internacional de la Rioja (UNIR), Spain