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 : Fighting antibiotic resistance: Eliminating implant infections in humans without antibiotics
Thomas J Webster, Brown University, United States
Title : Novel polymer-mediated therapeutic options for chronic obstructive pulmonary disease
Yong Xiao Wang, Albany Medical College, United States
Title : Turning problems into opportunities via small molecule design
Brian Blagg, University of Notre Dame, United States
Title : Durable surface-confined metal-terpyridine architectures for electrochromic applications
Olena Zenkina, Ontario Tech University, Canada
Title : Advances in plasma-based waste treatment
Hossam A Gabbar, Ontario Tech University, Canada
Title : Application of the Michaelis-Menten formalism to hydrocracking-related reactions and analysis of the features of the reactors
Orchidea Maria Lecian, Sapienza University of Rome, Italy