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 : Carbon capture and storage: The impact of impurities in CO2 streams
Andy Brown, Progressive Energy Ltd, United Kingdom
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 : 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 : Chemical engineering of vanadium and tantalum zeolites for application in environmental catalysis
Stanislaw Dzwigaj, Sorbonne Universite, France