Transition states are central to chemical reactions. Here, the authors derive the analytical Hessians from a neural network potential for organic reactions and yield more efficient and robust saddle point optimization than using quasi-Newton updates.
- Eric C.-Y. Yuan
- Anup Kumar
- Samuel M. Blau
