Researchers have developed a reliable new computational method to find transition states within chemical reactions. The new method reduces computational costs over traditional methods by nearly 70%.
Understanding the transition state within a chemical reaction is critical for full comprehension of the reaction mechanisms. However, due to the unstable nature of these transition states, their identification and observation are often difficult and require computational exploration. In the study, published in the Journal of Chemical Theory and Computation, researchers devised a computational method to find the transition state between known reactants and products.
Traditional methods, such as the Nudged Elastic Band (NEB) method, are computationally expensive because they require a large number of images to maintain high resolution and the search principle is not variational. The new computational method devised by the researchers solves these issues by requiring only 3 images as well as making the search principle variational.
To evaluate the efficiency of the new method, the team of researchers evaluated the method on 121 chemical reactions and compared the results with the NEB method. In 98% of cases, the new method correctly identified the transition states, a much higher level of accuracy than was observed using the NEB method. Along with this increase in accuracy, the new method significantly reduced computational costs, around 70%, when compared to the NEB method.
These improvements allow researchers to explore chemical reactions in a much more efficient way than previously possible. Combined with the method's increase in accessibility, the development could lead to faster discoveries and innovations in the future.