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FunctionalAgent automates development of on-top functional for quantum chemistry

Researchers have developed FunctionalAgent, an automated system designed to create new functionals for multiconfiguration pair-density functional theory (MC-PDFT). This agentic system breaks down the complex process of functional development into distinct sub-tasks, including dataset creation, calculation, and fitting. The system successfully developed two new functionals, MC26 and COF26, which demonstrated improved accuracy on benchmark datasets compared to existing methods. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Introduces an automated agentic system for scientific discovery, potentially accelerating research in computational chemistry and related fields.

RANK_REASON This is a research paper detailing a new methodology and resulting functionals for a specific scientific domain. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Yuhao Chen, Donald G. Truhlar, Xiao He ·

    FunctionalAgent: Towards end-to-end on-top functional design

    arXiv:2605.06215v1 Announce Type: cross Abstract: Multiconfiguration pair-density functional theory (MC-PDFT) offers an efficient and accurate framework for computing electronic energies in strongly correlated molecular systems, with the quality of the on-top functional being a k…