Modeling solvation effects in real-space and real-time within Density Functional Approaches
Alain Delgado (1,2), Stefano Corni (1), Stefano Pittalis (1), Carlo, Andrea Rozzi (1) ((1) Center S3 CNR Institute of Nanoscience, via Campi, 213/A, 41125 Modena, Italy, (2) Centro de Aplicaciones Tecnol\'ogicas y, Desarrollo Nuclear, Calle 30 # 502, 11300 La Habana, Cuba)

TL;DR
This paper introduces a real-space and real-time methodology for modeling solvation effects within Density Functional Theory, using boundary elements and Gaussian regularization to improve accuracy in electronic and optical property simulations.
Contribution
It develops a novel approach combining boundary elements and Gaussian functions to incorporate solvation effects in real-space (TD)DFT calculations, implemented in the Octopus code.
Findings
Accurately computes solvation free energies for organic molecules in water.
Predicts solvatochromic shifts consistent with experimental data.
Demonstrates the method's effectiveness in real-space and real-time simulations.
Abstract
The Polarizable Continuum Model (PCM) can be used in conjunction with Density Functional Theory (DFT) and its time-dependent extension (TDDFT) to simulate the electronic and optical properties of molecules and nanoparticles immersed in a dielectric environment, typically liquid solvents. In this contribution, we develop a methodology to account for solvation effects in real-space (and real-time) (TD)DFT calculations. The boundary elements method is used to calculate the solvent reaction potential in terms of the apparent charges that spread over the Van der Waals solute surface. In a real-space representation this potential may exhibit a Coulomb singularity at grid points that are close to the cavity surface. We propose a simple approach to regularize such singularity by using a set of spherical Gaussian functions to distribute the apparent charges. We have implemented the proposed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
