Translational energy of the reactants is most effective at inducing reactions with an attractive surface, while vibrational excitation is more effective for reactions with a repulsive surface. Eyring used potential energy surfaces to calculate reaction rate constants in the transition state theory in From Wikipedia, the free encyclopedia. Compiled by A. McNaught and A. Bulletin of the Chemical Society of Japan.

Sato, Shin The Journal of Chemical Physics. Bibcode : JChPh..

Laidler , Chemical Kinetics 3rd ed. Chemical Kinetics and Dynamics 2nd ed. Physical Chemistry 8th ed. Freeman p. See Calculate Number of Vibrational Modes to get a more details picture of how this applies to calculating the number of vibrations in a molecule.

To study a chemical reaction using the PES as a function of atomic positions, it is necessary to calculate the energy for every atomic arrangement of interest. For very simple chemical systems or when simplifying approximations are made about inter-atomic interactions, it is sometimes possible to use an analytically derived expression for the energy as a function of the atomic positions. An example is. For more complicated systems, calculation of the energy of a particular arrangement of atoms is often too computationally expensive for large scale representations of the surface to be feasible.

A PES is a conceptual tool for aiding the analysis of molecular geometry and chemical reaction dynamics. Once the necessary points are evaluated on a PES, the points can be classified according to the first and second derivatives of the energy with respect to position, which respectively are the gradient and the curvature. Stationary points or points with a zero gradient have physical meaning: energy minima correspond to physically stable chemical species and saddle points correspond to transition states, the highest energy point on the reaction coordinate which is the lowest energy pathway connecting a chemical reactant to a chemical product.

The PES concept finds application in fields such as chemistry and physics, especially in the theoretical sub-branches of these subjects. It can be used to theoretically explore properties of structures composed of atoms, for example, finding the minimum energy shape of a molecule or computing the rates of a chemical reaction.

Chem1 Virtual Textbook. Upon an increase of the dimensionality of the problem, this last figure is expected to increase, at least, polynomically, hence preventing the use of these techniques for larger systems.

This tensor decomposition algorithm transforms a multidimensional function e. However, the big difference is that in our case we shall perform SRP calls, in other words, our ab initio method will have the computational cost of a semiempirical one. In fact, as shown by our results see Table 1 in section 3. This, obviously, leads to a small error inherent to the SRP approximation, but in contrast permits the extension of our approach toward higher-dimensional systems with a little more effort.

In the following lines, we shall describe the actual MGPF approach that we have used. Table 1. Number and description of the fitting points used in each SRP-optimization stage and the algorithm used in the process. The transpose of these basis sets reads then:. It should be noted that this transformation does not change the representation. Then one obtains:. It should be highlighted that the problem we are considering HONO features a double well and, consequently, single-reference approaches e. The calculation of the vibrational eigenstates and eigenenergies has been performed by propagating a guess WF in negative imaginary time using the so-called Improved Relaxation method Meyer and Worth, ; Meyer et al.

As a result, the propagated configuration interaction coefficients A , see Equation 6 are obtained through diagonalization of the Hamiltonian in the basis of the configurations:.

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This iterative procedure is repeated until convergence in the energy. Moreover, a block version of this algorithm, the so-called Block Improved Relaxation, can be used to converge several eigenstates simultaneously, thus leading to the determination of a set of vibrationally excited states. In the following subsections, we shall discuss the details on the generation of the fitting reference set of points, the reparametrization of the semiempirical Hamiltonian SRP , and the technical details concerning the direct MGPF tensor decomposition of the SRP-PES into Tucker form.

It should be stressed that the novelty and robustness of our approach resides in the fact that requires a minimum intervention of the user, thus qualifying as a quasi -black box approach. Their geometrical parameters and harmonic frequencies are presented in Tables S10—S Figure 3. The generation of the remaining reference geometries and corresponding energies has been done according to our heuristic approach described in section 2.

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To ensure that the latter remain close to the reaction path LIIC , each i -th geometry along the LIIC has been generated by distorting along a set of directions resulting from the linear combination of the normal modes of the end structures according to:. X i is a number that depends on the distance to the end structure. This systematic manner of generating reference points serves us to control the convergence of the RMSE error at each expansion order, in other words, how insensitive the RMSE is to an increase in the density of points in specific directions or combinations thereof.

This, in turn, provides us with a good estimate of the lowest possible number of reference geometries at each stage. In Table 1 , we present the different convergence stages in terms of number of fitting points used together with the associated optimization algorithm. This has enabled a very large number of iterations 10 5. The underlying hypothesis behind this calculation is that a reasonable and cheap estimate of the global minimum set of SRP parameters yielding the minimum RMSE can be obtained.

First, from a computational perspective, it should be noted that a small number of fitting points is ideally suited for this task. Second, we have performed calculations justifying this fact.

### Potential Energy Curves (1-D Potential Energy Surfaces)

It can be observed that upon increase of this number, from until fitting points, the RMSE monotonically decreases from One can then safely conclude that just fitting points are necessary to improve the SRP-fitting at the 1D-level. A somewhat more complete information can be obtained through the cumulative error computed by addition of the RMSEs resulting form the configurations up to a certain energy value see Figure 5. We have also compared the geometries and harmonic frequencies of all stationary points at the reference ab initio level of theory and at the SRP level for each stage.

Geometries are displayed in Tables S10—S12 and harmonic frequencies are shown in Table 2. As it can be observed, SRP does indeed improve, in terms of both geometrical parameters and harmonic frequencies, with respect to the original PM7 and, furthermore, we obtain a very good agreement with the reference ab initio data.

Figure 4. On abscissas we present the label of semiempirical parameters for the different type of atoms in HONO.

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Standard semiempirical parameter labeling has been used Stewart, Figure 5. Table 2. These contour plots have been obtained through orthogonalization of the two LIIC vectors used in Figure 6. Figure 6. Comparison of the 2D projections of the cis-trans isomerization region for: i reference PES Richter et al. These projections have been obtained by orthonormalization of two linear interpolation LIIC vectors as described in Soto et al.

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Classical trajectories have been run using the reference PES Richter et al. The energies of the so-obtained geometries have been subsequently computed at the SRP-PES level and compared to the original calculation. Starting from the equilibrium geometries of the cis and trans isomers, we have propagated for 1 ps each trajectory with a time-step of 5 fs. The vibrational energy of each starting geometry was classically distributed in a random way between all normal modes using the option normal mode sampling of the VENUS software.

In Figure 7 , we present a comparison of the variation of the potential energies along two of these trajectories. As it can be observed, the PM7 largely deviates from the reference calculation both in their relative values and the phase, whereas SRP-PES follows closely the ab initio values. In particular, it is remarkable the fact that for low energies PM7 presents a large amount of structures with energies below the value of the global minimum, the trans conformer.

Moreover, Hessians are computed in less than a second. This properties make SRP approaches suitable for any on-the-fly type of calculation. Figure 7. More specifically, ground and excited vibrational states as well as vibrational spectra, in the form of Fourier transforms of autocorrelation functions. At this point, it should be recalled that our main goal is not to achieve spectroscopical accuracy but to provide PESs, in a fully automated fashion, accurate enough to disentangle chemical processes. In other words, at each grid point, i.

Of course, this is only possible due to the high efficiency of the underlying PM7 frame. This fact, precisely, has allowed us to circumvent the issues encountered in previous studies in which the ab initio energies were generated directly from a quantum chemical calculation thus severely limiting the level of theory which could be applied. The full primitive grid, needed in PF, consists of 2. These coarse grids have been labeled ev 3, ev 4, and ev 5 and consist of ,, 51,, and 18, coarse grid points, respectively.

Hence, as expected, MGPF is orders of magnitude less demanding that an exact decomposition.