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SURFXsim: Free-Energy Simulations of Spin-Forbidden Events with a Spin-Gap Collective Variable
Ajmal Rahman Mullukkandy1,2, Bernd Ensing3, Carles Bo1,2
1Department of Physical and Inorganic Chemistry, Universitat Rovira i Virgili, Marcel lí Domingo, 1, 43007Tarragona, Spain.
Simulating spin-forbidden chemical reactions is now more accessible. The new SURFXsim framework combines molecular dynamics with enhanced sampling for studying these challenging processes in larger systems.
Area of Science:
- Computational chemistry
- Chemical dynamics
- Quantum mechanics
Background:
- Spin-forbidden processes are crucial in catalysis and photochemistry.
- Simulating these events is computationally challenging due to transitions between different spin states.
- Current methods offer static views or are too demanding for large systems.
Purpose of the Study:
- To develop a practical computational framework for simulating spin-forbidden events.
- To enable the study of these processes in medium- and large-sized chemical systems.
- To provide a flexible tool for exploring spin-crossing phenomena.
Main Methods:
- Atomistic molecular dynamics combined with a configuration-dependent mixed Hamiltonian.
- Enhanced sampling using metadynamics along a spin-gap collective variable.
- Integration with machine-learning and conventional electronic-structure calculators (ASE, PLUMED, Gaussian).
Main Results:
- SURFXsim enables finite-temperature sampling and free-energy landscape reconstruction for spin-forbidden events.
- Demonstrated applicability to distortion-driven and reactivity-driven spin-crossing.
- Compatibility with both machine-learning potentials and quantum-mechanical calculations confirmed.
Conclusions:
- SURFXsim offers a practical and flexible approach to studying spin-forbidden chemistry.
- The method extends the scale of accessible systems beyond traditional nonadiabatic dynamics.
- Facilitates deeper understanding of spin-forbidden processes in various chemical fields.
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