LightCone is a web-based molecular visualization and structure editing tool developed by QuantaBricks. It is designed to be user-friendly, allowing high-school students to engage with molecular structures without prior tutorials. The tool supports various features such as editing bond lengths, angles, and dihedrals, as well as fragment selection with rotation and translation. LightCone is permanently free and runs entirely in the browser, ensuring that no data ever leaves the user's device. The upcoming desktop version will add additional features like large-trajectory rendering and molecular orbital visualization.
https://lightcone.quanta-bricks.com
https://lightcone.quanta-bricks.com
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Want to try the new g-xTB on your ORCA (or stand-alone)?
Grab the development version binary here:
https://github.com/grimme-lab/g-xtb
Unpack it.
Inside your ORCA directory, back up your current
Replace it with the new xTB binary:
You are now ready to use it.
In your ORCA input, just add:
Grab the development version binary here:
https://github.com/grimme-lab/g-xtb
Unpack it.
Inside your ORCA directory, back up your current
otool_xtb:cp otool_xtb otool_xtb.bkpReplace it with the new xTB binary:
cp ../xtb otool_xtbYou are now ready to use it.
In your ORCA input, just add:
! XTB
%xtb
XTBINPUTSTRING "--gxtb"
end
GitHub
GitHub - grimme-lab/g-xtb: Development versions of the g-xTB method. Final implementation will not happen here but in tblite (…
Development versions of the g-xTB method. Final implementation will not happen here but in tblite (https://github.com/tblite/tblite). - grimme-lab/g-xtb
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Million-atom all-electron quantum chemistry reaches biomolecular scale
A new *Communications Chemistry* paper reports an all-electron Hartree–Fock/divide-and-conquer framework applied to biomolecular systems with tens of millions of atoms and more than 150 million electrons. The result is not high-accuracy quantum chemistry: it uses a minimal basis and aggressive approximations. Its importance is different: it shows that whole-system approximate quantum-mechanical descriptors for huge biological assemblies are becoming technically feasible.
[https://www.nature.com/articles/s42004-026-02038-y](https://www.nature.com/articles/s42004-026-02038-y)
A new *Communications Chemistry* paper reports an all-electron Hartree–Fock/divide-and-conquer framework applied to biomolecular systems with tens of millions of atoms and more than 150 million electrons. The result is not high-accuracy quantum chemistry: it uses a minimal basis and aggressive approximations. Its importance is different: it shows that whole-system approximate quantum-mechanical descriptors for huge biological assemblies are becoming technically feasible.
[https://www.nature.com/articles/s42004-026-02038-y](https://www.nature.com/articles/s42004-026-02038-y)
Nature
A quantum-mechanical framework for million-atom scale biological systems
Communications Chemistry - Quantum-mechanical simulations provide the most fundamental description of matter, yet their computational cost commonly limits applications to systems containing at most...
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Registration is open for GPMLFF 2026 — a 3-day workshop on General-Purpose Machine-Learned Force Fields: in theory & practice. Researchers entering the field are especially welcome!
Lectures and hands-on tutorials with a great speaker lineup: Klaus-Robert Müller, Gabor Csányi, Stefan Chmiela, Leonardo Medrano Sandonas, Yury Lysogorskiy, Ilyes Batatia, Arslan Mazitov, Adil Kabylda
📅 13–15 July 2026
📍 Hybrid — Luxembourg (50 on-site) + online
✅ Free registration — sign up by 1 June: https://gpmlffworkshop.github.io/
🏆 Poster prizes from JACS, JCTC, and Chemical Science
Lectures and hands-on tutorials with a great speaker lineup: Klaus-Robert Müller, Gabor Csányi, Stefan Chmiela, Leonardo Medrano Sandonas, Yury Lysogorskiy, Ilyes Batatia, Arslan Mazitov, Adil Kabylda
📅 13–15 July 2026
📍 Hybrid — Luxembourg (50 on-site) + online
✅ Free registration — sign up by 1 June: https://gpmlffworkshop.github.io/
🏆 Poster prizes from JACS, JCTC, and Chemical Science
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Fun Fact of the Day
The Gaussian-and-plane-wave (GPW) strategy used in CP2K avoids explicit four-center integrals by mapping densities onto plane-wave grids while retaining localized Gaussian orbitals for the Kohn–Sham states. That hybridization is one major reason CP2K scales unusually well for condensed-phase DFT. 😉
The Gaussian-and-plane-wave (GPW) strategy used in CP2K avoids explicit four-center integrals by mapping densities onto plane-wave grids while retaining localized Gaussian orbitals for the Kohn–Sham states. That hybridization is one major reason CP2K scales unusually well for condensed-phase DFT. 😉
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ASH: a multi-scale, multi-theory modelling program ⚛️
Tired of being locked into one code's ecosystem? Meet ASH — a Python-based computational chemistry framework built around one elegant idea:
Separate the Hamiltonian from the job type.
Your QM/MM theory is one object. Your job (opt, freq, MD, scan, NEB...) is another. Mix and match freely.
What you can do:
- Single-point calculations
- Geometry optimizations
- Surface scans & relaxed PES
- Nudged Elastic Band (NEB) for reaction paths & TS
- Molecular dynamics
- Numerical frequencies
- QM/MM and ONIOM hybrid setups, built in minutes
Interfaces galore — drive your favorite code from a single Python script:
ORCA · xTB · CP2K · Psi4 · PySCF · ccpy · Dalton · MRCC · CFour · MNDO · TeraChem · QUICK · Gaussian · NWChem
Perfect for automating workflows, multi-scale modelling, and benchmarking across methods without rewriting half your pipeline.
🆓 Free & open-source on GitHub:
https://github.com/RagnarB83/ash
🚀 Try it live in Colab:
[ASH in Google Colab](https://colab.research.google.com/drive/11-FG7eTElCvcMNZiTIEXcdWjcR4YWRS-#scrollTo=ViPg1cGuck_a)
Tired of being locked into one code's ecosystem? Meet ASH — a Python-based computational chemistry framework built around one elegant idea:
Separate the Hamiltonian from the job type.
Your QM/MM theory is one object. Your job (opt, freq, MD, scan, NEB...) is another. Mix and match freely.
What you can do:
- Single-point calculations
- Geometry optimizations
- Surface scans & relaxed PES
- Nudged Elastic Band (NEB) for reaction paths & TS
- Molecular dynamics
- Numerical frequencies
- QM/MM and ONIOM hybrid setups, built in minutes
Interfaces galore — drive your favorite code from a single Python script:
ORCA · xTB · CP2K · Psi4 · PySCF · ccpy · Dalton · MRCC · CFour · MNDO · TeraChem · QUICK · Gaussian · NWChem
Perfect for automating workflows, multi-scale modelling, and benchmarking across methods without rewriting half your pipeline.
🆓 Free & open-source on GitHub:
https://github.com/RagnarB83/ash
🚀 Try it live in Colab:
[ASH in Google Colab](https://colab.research.google.com/drive/11-FG7eTElCvcMNZiTIEXcdWjcR4YWRS-#scrollTo=ViPg1cGuck_a)
GitHub
GitHub - RagnarB83/ash: ASH is a Python-based computational chemistry and QM/MM environment, primarily for molecular calculations…
ASH is a Python-based computational chemistry and QM/MM environment, primarily for molecular calculations in the gas phase, explicit solution, crystal or protein environment. - RagnarB83/ash
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Ketcher 🧪
Ketcher is a free, open-source, web-based chemical structure editor for drawing molecules and reactions.
It includes:
• Fast 2D chemical structure drawing
• 3D structure visualization
• Template libraries
• Stereochemistry support
• Reaction drawing and atom-to-atom mapping
• R-group and S-group tools
• Structure cleanup
• CIP descriptor calculation
• Molecular formula and molecular weight calculation
• OCR for recognizing chemical structures from images
• Import/export support for Molfile, RXN, SMILES, CML, SDF, CDX/CDXML, InChI, InChIKey, and more
• SVG rendering for clean browser display
• Easy integration into custom web applications, including React-based projects
A serious tool for chemists, teachers, students, and developers. ⚗️
Stop paying for chemistry editors before checking what open source can already do. 🔓
Repository: https://github.com/epam/ketcher
Use it online: https://lifescience.opensource.epam.com/KetcherDemoSA/index.html
Ketcher is a free, open-source, web-based chemical structure editor for drawing molecules and reactions.
It includes:
• Fast 2D chemical structure drawing
• 3D structure visualization
• Template libraries
• Stereochemistry support
• Reaction drawing and atom-to-atom mapping
• R-group and S-group tools
• Structure cleanup
• CIP descriptor calculation
• Molecular formula and molecular weight calculation
• OCR for recognizing chemical structures from images
• Import/export support for Molfile, RXN, SMILES, CML, SDF, CDX/CDXML, InChI, InChIKey, and more
• SVG rendering for clean browser display
• Easy integration into custom web applications, including React-based projects
A serious tool for chemists, teachers, students, and developers. ⚗️
Stop paying for chemistry editors before checking what open source can already do. 🔓
Repository: https://github.com/epam/ketcher
Use it online: https://lifescience.opensource.epam.com/KetcherDemoSA/index.html
GitHub
GitHub - epam/ketcher: Web-based molecule sketcher
Web-based molecule sketcher. Contribute to epam/ketcher development by creating an account on GitHub.
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MOrbVis
A GPU-accelerated molecular orbital viewer for the browser. Load a Molden or Gaussian Cube file and interactively explore isosurfaces with WebGPU compute shaders. Also available as a standalone Windows desktop application.
Github: https://github.com/Yasuaki-Ito/morbvis
https://yasuaki-ito.github.io/morbvis/
A GPU-accelerated molecular orbital viewer for the browser. Load a Molden or Gaussian Cube file and interactively explore isosurfaces with WebGPU compute shaders. Also available as a standalone Windows desktop application.
Github: https://github.com/Yasuaki-Ito/morbvis
https://yasuaki-ito.github.io/morbvis/
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MolTUI: a terminal molecular viewer for quickly inspecting geometries
Kalman Szenes from ETH Zurich built a GUI for molecular visualization...inside the terminal!
Supports:
1) Trajectories
2) Single and multiple XYZ files
3) Orbitals
4) Normal modes
5) Cube files
6) Molden Files
7) ORCA GBW Files and Hess formats
You can install it via pip
Also, you can take a look to the GitHub repo here 👀👉: https://github.com/kszenes/moltui
Kalman Szenes from ETH Zurich built a GUI for molecular visualization...inside the terminal!
Supports:
1) Trajectories
2) Single and multiple XYZ files
3) Orbitals
4) Normal modes
5) Cube files
6) Molden Files
7) ORCA GBW Files and Hess formats
You can install it via pip
pip install moltui
Also, you can take a look to the GitHub repo here 👀👉: https://github.com/kszenes/moltui
GitHub
GitHub - kszenes/moltui: A Terminal Molecular Viewer Based on Unicode
A Terminal Molecular Viewer Based on Unicode. Contribute to kszenes/moltui development by creating an account on GitHub.
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Are you into Theoretical and Computational Chemistry? Are you Latin American?
Do you want to connect with other Latinxs in Comp Chem?
This is for you!
Varinia Bernales and Alán Aspuru-Guzik (The Matter Lab, University of Toronto) created an online community to enable Latin American theoretical and computational chemists, both within and outside Latin America, to connect, share ideas, and build collaborative networks.
The Matter Lab has broader plans for this website, including an upcoming internship opportunity in their lab, as well as workshops, webinars, and summer schools.
Stay tuned for updates on The Matter Lab's social media:
LinkedIn 👥: https://www.linkedin.com/company/the-matter-lab-uoft/
BlueSky 🦋: https://bsky.app/profile/thematterlab.bsky.social
More info in the link below:
🌎 https://latam.matterlab.world/
Do you want to connect with other Latinxs in Comp Chem?
This is for you!
Varinia Bernales and Alán Aspuru-Guzik (The Matter Lab, University of Toronto) created an online community to enable Latin American theoretical and computational chemists, both within and outside Latin America, to connect, share ideas, and build collaborative networks.
The Matter Lab has broader plans for this website, including an upcoming internship opportunity in their lab, as well as workshops, webinars, and summer schools.
Stay tuned for updates on The Matter Lab's social media:
LinkedIn 👥: https://www.linkedin.com/company/the-matter-lab-uoft/
BlueSky 🦋: https://bsky.app/profile/thematterlab.bsky.social
More info in the link below:
🌎 https://latam.matterlab.world/
latam.matterlab.world
LATAM Community of Theoretical and Computational Chemists
A community of Latin American researchers in theoretical/computational chemistry, material science, and biochemistry curated by the Matter Lab
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Fun fact of the day
In nonadiabatic dynamics, the sign of an electronic eigenvector is arbitrary. A wavefunction can flip phase between adjacent MD steps without changing any observable, but finite-difference nonadiabatic couplings will treat that sign flip as a huge artificial derivative unless the phases are corrected. That is why the new CP2K NAC framework explicitly includes phase correction.
In nonadiabatic dynamics, the sign of an electronic eigenvector is arbitrary. A wavefunction can flip phase between adjacent MD steps without changing any observable, but finite-difference nonadiabatic couplings will treat that sign flip as a huge artificial derivative unless the phases are corrected. That is why the new CP2K NAC framework explicitly includes phase correction.
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open access
Chemical bonding concepts emerge naturally from maximally entangled atomic orbitals
Maximally entangled atomic orbitals provide a quantitative orbital-entanglement route to identify Lewis, multicenter, and aromatic bonding patterns beyond conventional localized-orbital pictures.
https://www.nature.com/articles/s41467-026-73527-w
Chemical bonding concepts emerge naturally from maximally entangled atomic orbitals
Maximally entangled atomic orbitals provide a quantitative orbital-entanglement route to identify Lewis, multicenter, and aromatic bonding patterns beyond conventional localized-orbital pictures.
https://www.nature.com/articles/s41467-026-73527-w
Nature
Chemical bonding concepts emerge naturally from maximally entangled atomic orbitals
Nature Communications - Chemical bonding explains how atoms bind together, but it remains hard to define in universal terms. Here, the authors use quantum entanglement to uncover and quantify bonds...
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