Mapping Ab Initio Physical Theories to Computational Chemistry Methods: The Contributions of Classical Mechanics, Thermodynamics and Statistical Mechanics, Electromagnetism, Relativity, Quantum Mechanics, and Quantum Field Theory
Ab initio quantum chemistry aims to predict molecular properties solely from fundamental physical constants and system composition, without empirical parameterization. This review elucidates how this endeavor is built upon an interdependent hierarchy of physical theories, each contributing essential concepts and introducinginherent approximations. We trace the foundational role of Classical Mechanics via the Born-Oppenheimer approximation, which separates nuclear and electronic motion, and the establishment of the molecular Hamiltonian through the synergy of Quantum Mechanics and Classical Electromagnetism.1,2 We detail how thermodynamics and statistical mechanics provide the critical link between microscopic quantum states and macroscopic observables via the partition function.3 The review further examines the mandatory incorporation of Relativity for heavy elements, governed by the Dirac equation, and the formal power of Quantum Field Theory, which provides the second quantization formalism underpinning high-accuracy methods like Coupled Cluster theory.4,5 Finally, we explore the emerging frontier of quantum electrodynamics (QED) in chemistry, where the electromagnetic field itself is quantized.6 The discussion is framed by the central trade-off between the rigorous inclusion of physical effects—from electron correlation to relativistic and QED corrections—and the associated computational cost. This synthesis demonstrates that the ongoing evolution of ab initio methods is a systematic effort to replace convenience-driven classical approximations with rigorous, unified physical theories, thereby extending the domain of the first-principles prediction.
Institutions
- University of Chicago (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-12
- DOI
- https://doi.org/10.5281/zenodo.17334898
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00