Bernardo de Souza

@bernadsz.bsky.social

Nature lover. Curious turned scientist. Part of the ORCA development team. Now bringing Quantum Theory and Molecular Physics to the real world at @faccts-orca.bsky.social https://scholar.google.com.br/citations?user=U6szjgMAAAAJ&hl=pt-BR

If you want to combine ORCA+Python seamlessly, the OPI (ORCA Python Interface) is the way to go. The paper is out and is free of access for 6 months - it was accepted as the Editor's choice in JCCT. The interface is open-source and ready to get new contributions. 🫍🐍

FACCTs@faccts.de · 4mo ago

Our paper on the #ORCA #Python Interface OPI is published in #JCTC! pubs.acs.org/doi/full/10.... Check it out and join the OPI community. OPI on GitHub: github.com/faccts/opi OPI documentation: www.faccts.de/docs/opi/docs #FACCTs #OPI #CompChem #QuantumChem #ScientificSoftware #OpenSource

ORCA has now 100k registered users! We are very proud to be part of the project, and all the impact it has across chemistry/physics/molecular sciences. It's really an enormous privilege to be able to help so many people execute their best ideas through our tools/theories/algorithms 🙏.

FACCTs@faccts.de · 7mo ago

What an incredible Christmas gift! The #ORCA community has reached a major milestone: 100,000 registered users. Thank you all for your trust and for being such an important part of ORCA’s journey. Your support is what makes this success possible. #ORCAqc #FACCTs #MPIKOFO #CompChem #ChemSky

100000 registered ORCA users!

Hot off the press: “A Two-Level Preconditioner for the CASSCF Linear-Response Equations” by our scientific advisor Benjamin Helmich-Paris (@orca-qc-official.bsky.social). Its already part of ORCA 6.1, check it out! doi.org/10.1021/acs.... #ORCA #ORCAqc #CompChem #QuantumChem #TheoChem #CASSCF

A Two-Level Preconditioner for the CASSCF Linear-Response Equations

We present an efficient two-level strategy to accelerate the solution of the CASSCF linear-response eigenvalue problem using a customized Davidson algorithm. By identifying a subset of important response-vector components─the so-called P space─we compute and diagonalize full Hessian and metric matrix elements while treating the remaining Q-space components with a diagonal approximation. This approach decouples the orbital and configuration responses, enabling independent preconditioning of each component. Computational cost is further reduced through the resolution-of-the-identity approximation. We demonstrate significant performance gains across a diverse set of molecules, achieving speedups of up to 2.05 compared to the standard diagonal preconditioning. The largest efficiency gains are observed for MCTDA calculations involving many excited states and relatively small response-vector lengths. The two-level strategy is available in ORCA 6.1 and paves the way for extensions to dynamic polarizabilities, which require solving large-scale linear equations, as well as to time-dependent density functional theory and CI singles.

doi.org

Update on the last post about two similar structures differing by ~ 33 kcal/mol. We split intro three fragments and saturated with Hs to check the contribution per fragment. The large total energy difference is explained trivially from a sum of the frag. contribution. 1/3 #compchem

How complicated is the conformational space of molecules? Here is a fun one I found working on something: These two structures have an RMSD of 0.45 Angs, but are **40 kcal/mol** apart in energy! I double checked, that's not a mistake, and the energy level was high. Never underestimate! #compchem

The preliminary version of g-xTB from Stefan Grimme's group can already be used with ORCA 6.1. Check it out! If you find any problems, please report to the team, it is on everyone's best interest to find any bugs/issues and fix them. 🙏

FACCTs@faccts.de · last yr.

You can now use g-xTB @grimmelab.bsky.social with ORCA via the ExtOpt feature! Check out our new tutorial and learn how to use it in GOAT, NEB-TS and more. www.faccts.de/docs/orca/6.... #ORCAqc #FACCTs #gxTB #CompChem #QuantumChem