New Features in Q-Chem 6.3

Q-Chem 6.3 is here! Upgrade today and enjoy improved performance and usability, as well as new tools for studying chemistry and spectroscopy. With these new features, you can deploy large-scale calculations and workflows, get more accurate results faster, and extend the scope of your research to include systems and research questions that were not previously accessible.

The new features in our latest version include new analysis tools, new methods for open-shell species and high-accuracy calculations, and performance enhancements. Check out our list of highlighted features below, with links to associated research publications from the developers. Request a free demo to try these features yourself!

  • DFT performance enhancements: The performance of medium to large DFT energy and force calculations has been substantially improved within the already very fast density fitting approximation. Example timings for the cysteine 11-mer at the B3LYP/def2-TZVP level of theory (2485 basis functions) show ~20% speedup relative to 6.2.2 for RI-J and occ-RI-K.
     
  • Robust SCF: Q-Chem's sophisticated new multi-stage "Robust SCF" procedure provides significantly more robust SCF convergence, including automatic detection and correction of incipient SCF divergence and algorithm switching in cases where DIIS fails. This black-box approach will be valuable in big-data applications and will assist with difficult-to-converge cases.
     
  • MPI Parallelization for Finite-Difference and Many-Body Expansion Calculations
     
  • Novel tools for spectroscopy:
  • New tools for open-shell species and resonances:
    • SOC using EOM-DEA and EOM-DIP wave functions
      Tingting Zhao, Sai Kotaru, Sahil Gulania, Pavel Pokhilko, Anna Krylov
    • EOM-DIP/DEA-CCSD gradients
      Tingting Zhao, Anna Krylov
    • Complex-valued RI-EOM-CCSD
      Simen Camps, Cansu Utku, Thomas Jagau
       
  • Advances in many-body methods for better accuracy:
  • Novel analysis tools:
  • Tools for studying chemistry in standard and unusual regimes:
    • New mechanochemical pressure model using PV term energy correction
      Felix Zeller
    • New constraints for geometry optimizations and PES scans: Constraints now include torsional and flat-bottom potential restraints for geometry optimization, as well as bond stretch, r12pr34, angle, 1 to midpoint of 2 atoms, 1 to COM, and dihedral restraints for PES.
      Chance W. Lander, Yihan Shao
       
  • Tools for including effects of homogeneous and heterogeneous environment: 
    • Heterogeneous PCMDFT calculations on cluster models of proteins are a popular way to explore enzymatic mechanisms, but gas-phase boundary conditions are unrealistic.  The “HetPCM” model allows parts of the “QM cluster” protein models to be solvent-exposed (dielectric constraint ε = 78) while other parts are buried in hydrophobic regions (ε ≈ 4).
      John Herbert
    • Semi-numerical frequency support for the SMD model: DFT frequency calculations using the SMD solvation model can now be performed at the cost of analytic (rather than finite-difference) frequencies, enabling calculations on medium and large systems.
      John Herbert
    • Density matrix-based and energy-based generalized many-body expansion (GMBE):  Density-matrix-based fragmentation schemes can reduce the cost of SCF calculations by an order of magnitude without loss of accuracy in appropriate systems. Unlike some fragmentation methods that require small basis sets, GMBE-DM can be used with high-quality basis sets.
      Jake A. Tan, Francisco Ballesteros, Ka Un Lao
       
  • Advances in methods for incorporating quantum nuclear effects (NEO suite):
    • NEO PCM analytic Hessian for solution phase frequency and normal mode analysis
      Mathew Chow, Sharon Hammes-Schiffer
    • Support for exchange-correlation functionals with additional dispersion correction baked-in (i.e., wB97X-D, wB97X-D3, B3LYP-D3(BJ), etc.) for NEO methods
      Mathew Chow, Sharon Hammes-Schiffer
    • Improved performance by adding simultaneous GDM optimization, improved initial guess (nuclear SCF), and  an extension of simultaneous DIIS and GDM optimization to treat an arbitrary number of quantum protons
      Mathew Chow, Sharon Hammes-Schiffer

For a full list of new features and bugfixes, please review the official Q-Chem 6.3 release log here.

 

Request A Demo!