Computational and Quantum Chemistry
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A group dedicated to everything about theoretical and computational/quantum chemistry.
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🔬 PySCF v2.14.0 has been released
The new version substantially expands PySCF’s capabilities for many-body electronic structure, multireference calculations, periodic systems, and relativistic methods.

Main additions:
• Molecular Bethe–Salpeter equation (BSE) calculations, supporting restricted and unrestricted GW references
• New G₀W₀, self-consistent GW, and periodic GW developments, with improved CPU and memory efficiency
• Spin-restricted and unrestricted k-point RPA, including periodic calculations with smeared occupations
• Implementation of the RCCSDT(Q) correction for high-order coupled-cluster calculations
Spin–orbit-coupling Hamiltonian for GCCSD, together with support for complex GCCSD orbitals
• Analytic CASCI gradients using UHF, RKS, or UKS orbitals
• New MC26 and COF26 on-top functionals
CABS singles correction and new q-vSZP basis-set/ECP variants
• Self-consistent dipole corrections for slab and two-dimensional periodic systems
• Pipek–Mezey Wannier functions and Wannier interpolation for periodic k-point calculations

Other improvements include:
• Better Windows compatibility
• HOMO–LUMO gap reporting in SCF output
• Configurable ωB97X-D4 parameters
• Improved numerical stability in periodic RPA
• Reduced memory usage in PCM gradients and periodic density fitting
• Corrections affecting X2C, meta-GGA derivatives, UKS Hessians, ghost atoms, and Basis Set Exchange loading

Upgrade with:
pip install --upgrade pyscf

📋 Full release notes:
https://github.com/pyscf/pyscf/releases/tag/v2.14.0

📚 Documentation:
https://pyscf.org

📦 PyPI package:
https://pypi.org/project/pyscf/

#PySCF #QuantumChemistry #ComputationalChemistry
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Fun Fact of the Day

For 50 electrons distributed among 100 spin orbitals, the full determinant space contains

C(100,50) = 100,891,344,545,564,193,334,812,497,256

determinants, approximately 1.01 × 10²⁹. The corresponding one-particle reduced density matrix contains only 100² = 10,000 elements. That compression is enormous, but the 1RDM alone does not uniquely specify a general interacting wavefunction without an exact density-matrix functional.
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⚛️ Quantum ESPRESSO 7.6 has been released!
Some notable additions in this release:
EPW 6.1, including:
GPU offloading via CUDA, OpenACC and OpenMP
Two-level parallelisation using images and pools, on both coarse and fine grids
Support for DFPT+U
Support for LSDA
NLCC support for norm-conserving pseudopotentials with meta-GGA functionals
• Support for ONCV pseudopotentials with r²SCAN, using a model atomic kinetic-energy density
• New vdW-DF3-mc van der Waals functional, aimed at molecular crystals
• Improvements to PP/epsilon and eps_calc, including symmetry and nonlocal-pseudopotential contributions and support for USPP and PAW
BEEF-vdW exposed through LibXC as BEEF_LXC
• Performance optimisation and GPU porting of lr_addusddens
• Autoconf now supports out-of-source builds
There are also several bug fixes affecting meta-GGA stresses, Raman coefficients, phonons, TDDFPT restarts, ELF and pw2wannier90.
🔗 Release notes and download:
https://gitlab.com/QEF/q-e/-/releases/qe-7.6
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This is an image. The link is just below!
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xyzrender: Publication-quality molecular graphics.

Render molecular structures as publication-quality SVG, PNG, PDF, and animated GIF from XYZ, mol/SDF, MOL2, PDB, SMILES, CIF, SHELXL, cube files, quantum chemistry input or output — from the command line or from Python/Jupyter.

xyzrender turns molecular structures into clean vector SVG graphics — plus PNG, PDF, and animated GIF — ready for papers, presentations, and supporting information. It reads XYZ, mol/SDF, MOL2, PDB, SMILES, CIF, SHELXL, cube files, and QM input/output files from Gaussian, ORCA, NWChem, Q-Chem, Psi4, MOPAC, GAMESS, Turbomole, and periodic codes (VASP, Quantum ESPRESSO, SIESTA, ABINIT, CP2K). The SVG rendering approach is built on and inspired by xyz2svg (https://github.com/briling/xyz2svg) by Ksenia Briling @briling (https://github.com/briling).

https://github.com/aligfellow/xyzrender
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Fun Fact of the Day

One hartree is such a large molecular energy unit that, when expressed as the equivalent thermal scale Eₕ/k_B, it corresponds to approximately
315,775 K.
That does not mean a one-hartree electronic excitation corresponds physically to heating a molecule to 315,775 K; it is simply the temperature for which k_BT equals one hartree. NIST tabulates the hartree–kelvin relationship among its CODATA energy conversions.
For comparison, chemically important energy differences are usually tiny fractions of Eₕ: 1 kcal mol⁻¹ is only about 0.00159 Eₕ.
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