Quantum Chemical Spectroscopy and Molecular Structure

Quantum chemical spectroscopy unites the predictive power of electronic‐structure theory with high‐resolution spectroscopic measurement to determine molecular geometries, conformational landscapes and dynamical behaviour. By computing potential energy surfaces and spectroscopic parameters—such as rotational constants, vibrational frequencies and transition intensities—researchers can assign experimental spectra with unprecedented precision. Advances in density functional theory, hybrid and double‐hybrid functionals, composite wave‐function methods and machine‐learning‐assisted algorithms have progressively narrowed the gap between computational cost and spectroscopic accuracy. These developments have enabled accurate structural characterisations of small biomolecules, nucleic acid fragments, interstellar species and novel materials. The synergy between experiment and theory not only refines equilibrium geometries but also elucidates anharmonic effects, temperature‐dependent relaxation pathways and reactive processes in the gas phase. Such insights are critical for fields as diverse as astrochemistry, atmospheric science, pharmaceutical analysis and the design of functional materials, where precise knowledge of molecular structure underpins reactivity, stability and spectroscopic signatures.

Research from Nature Portfolio

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Quantum Chemical Spectroscopy and Molecular Structure publication trend

The graph below shows the total number of articles in quantum chemical spectroscopy and molecular structure across all publications each year (not limited to Nature Index journals).

Technical terms

Quantum chemical spectroscopy: Use of quantum‐mechanical computations to predict and interpret molecular spectroscopic data.
Rotational spectroscopy: Measurement of discrete rotational transitions to derive precise molecular geometries.
Density functional theory (DFT): A quantum method approximating electron correlation via functionals of the electron density.
Composite methods: Schemes that combine results from multiple levels of theory to approach spectroscopic accuracy efficiently.
Potential energy surface (PES): A multidimensional function describing the variation of molecular energy with nuclear positions.

References

1. Benchmark Structures and Conformational Landscapes of Amino Acids in the Gas Phase: A Joint Venture of Machine Learning, Quantum Chemistry, and Rotational Spectroscopy. Journal of Chemical Theory and Computation (2023).
2. Toward Accurate yet Effective Computations of Rotational Spectroscopy Parameters for Biomolecule Building Blocks. Molecules (2023).
3. Extending the Applicability of the Semi-experimental Approach by Means of “Template Molecule” and “Linear Regression” Models on Top of DFT Computations. The Journal of Physical Chemistry A (2021).