Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 42 tok/s
Gemini 2.5 Pro 53 tok/s Pro
GPT-5 Medium 17 tok/s Pro
GPT-5 High 13 tok/s Pro
GPT-4o 101 tok/s Pro
Kimi K2 217 tok/s Pro
GPT OSS 120B 474 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Separable Resolution-of-the-Identity with All-Electron Gaussian Bases: Application to Cubic-scaling RPA (1902.00066v1)

Published 31 Jan 2019 in physics.chem-ph, cond-mat.mtrl-sci, and physics.comp-ph

Abstract: We explore a separable resolution-of-the-identity formalism built on quadratures over limited sets of real-space points designed for all-electron calculations. Our implementation preserves in particular the use of common atomic orbitals and their related auxiliary basis sets. The set up of the present density fitting scheme, i.e. the calculation of the system specific quadrature weights, scales cubically with respect to the system size. Extensive accuracy tests are presented for the Fock exchange and MP2 correlation energies. We finally demonstrate random phase approximation (RPA) correlation energy calculations with a scaling that is cubic in terms of operations, quadratic in memory, with a small crossover with respect to our standard RI-RPA implementation.

Summary

We haven't generated a summary for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube