Peter Spackman

@crystalexplorer.net

Computers, crystals and chemistry. Research Fellow in the Computational Materials and Minerals Group at Curtin University. @peterspackman@mastodon.social

Mixed feelings on this. Looks like even more independent research careers will have to live or die by the 5 year post-PhD mark. Fundamentally, I don't think redistributing the (relatively small) pot of money will really fix any of the main issues but I'd love to be wrong on that.

ARC Tracker@arc-tracker.bsky.social · 2w ago

The ARC's new grant scheme table, in case you don't want to read through the details (which are here: www.arc.gov.au/system/files...)

Hooray! doi.org/10.1088/2516...

Roadmap on Advancements of the FHI-aims Software Package

Roadmap on Advancements of the FHI-aims Software Package, Blum, Volker, Kokott, Sebastian, Rossi, Mariana, Scheffler, Matthias, Abbott, Joseph W. W., Mera Acosta, Carlos, Akkoush, Alaa, Ambrosetti, Alberto, Atalla, Viktor, Bagrets, Alexej, Behler, Joerg, Berger, Daniel, Bieniek, Björn, Björk, Jonas, Bohloul, Saeed, Box, Connor L., Boyer, Nicholas James, Brambila, Danilo Simoes, Bramley, Gabriel A., Bryenton, Kyle R., Camarasa-Gómez, María, Carbogno, Christian, Caruso, Fabio, Chutia, Sucismita, Ceriotti, Michele, Csányi, Gábor, Dawson, William, Delesma, Francisco A., della sala, fabio, Delley, Bernard, DiStasio, Robert, Dragoumi, Maria, Driessen, Sander, Dvorak, Marc, Erker, Simon, Evers, Ferdinand, Fabiano, Eduardo, Farrow, Matthew R., Fiebig, Florian, Filser, Jakob, Foppa, Lucas, Gallandi, Lukas, Garcia, Alberto, Gehrke, Ralf, Ghan, Simiam, Ghiringhelli, Luca, Glass, Mark, Goedecker, Stefan, Golze, Dorothea, Green, James A., Grisafi, Andrea, Grüneis, Andreas, Günzl, Johannes Jan, Gutzeit, Stefan, Hall, Samuel J., Hanke, Felix, Havu, Ville, He, Xingtao, Hekele, Joscha, Hellman, Olle, Herath, Uthpala, Hermann, Jan, Hernangómez-Pérez, Daniel, Hofmann, Oliver T, Hoja, Johannes, Hollweger, Simon, Hörmann, Lukas, Hourahine, Benjamin, How, Wei Bin, Huhn, William P., Hülsberg, Marcel, Panahian Jand, Sara, Jiang, Hongbing, Johnson, Erin, Jürgens, Werner, Kahk, Juhan Matthias, Kanai, Yosuke, Kang, Kisung, Karpov, Petr, Kempt, Roman, Khan, Danish, Kick, Matthias, Klein, Benedikt P., Kloppenburg, Jan, Knoll, Alexander, Knoop, Florian, Knuth, Franz, Köcher, Simone S., Kockläuner, Jannis, Körzdörfer, Thomas, Kowalski, Hagen-Henrik, Kratzer, Peter, Kus, Pavel, Laasner, Raul, Lang, Bruno, Lange, Björn, Langer, Marcel F, Larsen, Ask Hjorth, Lederer, Hermann

doi.org

Unfortunately for computational chemists, real chemical systems actually undergo reactions affecting dynamics on timescales that are hard to simulate... Hence, multi-state empirical valence bond simulations for reactive force field simulations chemrxiv.org/doi/full/10....

Simplifying Reactive Force Field Simulations | ChemRxiv

Chemical reactivity modelling in large systems over extended timescales is computationally and theoretically challenging; ab initio methods are too expensive, while classical force fields cannot handl...

chemrxiv.org

How well can you predict mechanical properties (elastic tensors) for molecular crystals *just* looking at pairwise interaction energies? Surprisingly well! With a big asterisk... Read all the ways it fails and where it works in JCTC now: pubs.acs.org/doi/full/10....

Elastic Tensors from Pairwise Energy Frameworks in Molecular Crystals

The mechanical properties of molecular crystals are fundamentally important in their industrial applications across pharmaceuticals, agrochemicals, energetic materials and other areas. Despite this, complete measurement or even computational prediction of elastic tensors for molecular crystals is anything but commonplace. The absence of rapid, reliable and broadly applicable methods in this endeavor frequently leads chemists to rely on intuitive ideas and examination of pairwise intermolecular interactions such as hydrogen- or halogen-bonds in order to rationalize the mechanical behavior of molecular crystals. Such perspectives are widespread in contemporary literature, but the extent to which these notions yield reliable and quantifiable insight is itself relatively unexplored. We propose a simple approximation, the Equilibrium Pairwise Model (EPM), compatible with any method to predict intermolecular interaction energies, that directly and efficiently yields an estimate of the complete elastic tensor. The protocol can be performed for any given molecular crystal structure, even those directly from experiment (i.e., without geometry optimization), and is guaranteed by construction to yield a positive-definite result─in contrast to conventional methods where computing valid elastic tensors for molecular crystals can prove challenging even for well-established and otherwise accurate model chemistries. We examine the accuracy of this protocol, along with other classical and contemporary methods, against experiment and periodic (plane-wave) density functional theory calculations to assess their reliability and accuracy. Through examination of the failures and successes, we aim to provide chemical insight into the kinds of materials where the model and, more broadly, thinking based on pairwise intermolecular interactions can reliably explain mechanical or other material properties and where they should be avoided.

pubs.acs.org

New paper out, High-pressure crystallisation of Isobutyronitrile pubs.acs.org/doi/10.1021/..., nice results from the UWA and Synchrotron team that show this small molecule crystallises into the same structure as at low temperatures. There's some lovely calculations that explain why this may be.

High-Pressure Crystallization and Compression of Isobutyronitrile

The structural response of a high-pressure phase of isobutyronitrile up to 6.12 GPa was studied by using high-pressure single-crystal X-ray diffraction, periodic density functional theory (DFT), and C...

pubs.acs.org

Great news! Can vouch that it’s a very impressive and stable (and a small model at only about 14MB).

COSMO Lab@labcosmo.bsky.social · 8mo ago

📢 PET-MAD is here! 📢 It has been for a while for those who read the #arXiv, but now you get it preciously 💸 typeset by @natcomms.nature.com Take home: unconstrained architecture + good train set choices give you fast, accurate and stable universal MLIP that just works™️ www.nature.com/articles/s41...