A Hessian-Based Interpolation Method for Locating Transition Structures

We propose a Hessian-based interpolation scheme for generating estimates of first-order saddle points on potential energy surfaces. Given reactant and product structures and associated Hessians, two molecular-specific force-field-inspired energy functions are constructed, and an estimate of the connecting first-order saddle point is calculated as a minimum on the intersection of the two diabatic energy surfaces. The minimum-energy crossing point can be located starting directly from the reactant or product geometry. At the intersection minimum, an approximate Hessian can be constructed that is suitable for initiating a search for the actual saddle point. The construction of the diabatic energy functions and interpolation procedure is computationally efficient and allows for an automated screening of thousands of potential transition structures connecting conformationally flexible reactants and products, as well as creating global reaction networks. For a benchmark set of 262 reactions, the HINT procedure can locate 90% of the transition structures in an automated workflow.

Authors

Institutions

Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2026-07-26
DOI
https://doi.org/10.1021/acs.jctc.6c00180
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Hessian-Based Interpolation Method for Locating Transition Structures

Frank Jensen, Matteo Tesselli
Journal of Chemical Theory and Computation
Machine Learning in Materials Science
article

A Hessian-Based Interpolation Method for Locating Transition Structures

Frank Jensen, Matteo Tesselli
article en

Abstract

We propose a Hessian-based interpolation scheme for generating estimates of first-order saddle points on potential energy surfaces. Given reactant and product structures and associated Hessians, two molecular-specific force-field-inspired energy functions are constructed, and an estimate of the connecting first-order saddle point is calculated as a minimum on the intersection of the two diabatic energy surfaces. The minimum-energy crossing point can be located starting directly from the reactant or product geometry. At the intersection minimum, an approximate Hessian can be constructed that is suitable for initiating a search for the actual saddle point. The construction of the diabatic energy functions and interpolation procedure is computationally efficient and allows for an automated screening of thousands of potential transition structures connecting conformationally flexible reactants and products, as well as creating global reaction networks. For a benchmark set of 262 reactions, the HINT procedure can locate 90% of the transition structures in an automated workflow.

Journal of Chemical Theory and Computation
Aarhus University (DK)
Affordable and clean energy
Openalex Percentile: Top 19%
Machine Learning in Materials Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Hessian-Based Interpolation Method for Locating Transition Structures — Frank Jensen, Matteo Tesselli · Journal of Chemical Theory and Computation (2026) | TGRS Research Map | TGRS