Tim Gould
timgouldsci.bsky.social
Tim Gould
@timgouldsci.bsky.social
@timgould_scienc on twitter
ARC EOI no!

Would be nice if Australia upped its grant assessment to world standard. But in its absence, I can accept below-par assessment with less effort: I didn't have to spend as much time writing and no assessor's time was wasted prior to the panel vetoing anyway.
February 28, 2025 at 2:23 AM
Reposted by Tim Gould
Don't use red and green data lines/surfaces in the same panel please #chemsky. It can be difficult for some colorblind readers to differentiate them. I've accepted (in principle) 2 papers today, and both sets of authors were asked to remove red/green colour contrasts www.nature.com/articles/d41...
Colour me better: fixing figures for colour blindness
Images can be made more accessible by choosing hues, shapes and textures carefully.
www.nature.com
December 10, 2024 at 3:13 PM
Reposted by Tim Gould
In case you missed it👇
Research thrives on innovation and the diversity of ideas, yet our funding system often penalizes both. In our new study published in PNAS, we explore the hidden costs of competition in allocating scarce research funds. (1/10) www.pnas.org/doi/10.1073/...
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
www.pnas.org
December 10, 2024 at 9:10 AM
Reposted by Tim Gould
@ccguerilla.bsky.social After seeing some _hard_ old exam questions from HS it got me thinking that classroom education actually _is_ a (nearly) zero sum game. I think people denying that reality explains a lot of the nutty thinking within tertiary education. Your thoughts?
November 23, 2024 at 12:55 AM
Reposted by Tim Gould
#compchem Good read: Data Quality in the Fitting of Approximate Models: A Computational Chemistry Perspective #compchemsky pubs.acs.org/doi/10.1021/...
Data Quality in the Fitting of Approximate Models: A Computational Chemistry Perspective
Empirical parametrization underpins many scientific methodologies including certain quantum-chemistry protocols [e.g., density functional theory (DFT), machine-learning (ML) models]. In some cases, th...
pubs.acs.org
November 21, 2024 at 6:47 AM
Reposted by Tim Gould
Interested in using ML to accelerate sustainable materials discovery? We’re currently recruiting at MatNex - especially interested if you’ve worked on MLIPs! jobs.smartrecruiters.com/MaterialsNex... #chemsky #compchem #ml
Machine Learning Scientist (Material Simulation)
Company Description: Materials contribute to 50% of the world’s CO2 emissions, those critical to the net-zero transition being the biggest culprits. Our AI platform leverages quantum calculations to m...
jobs.smartrecruiters.com
November 18, 2024 at 11:40 AM
Just migrated to Bluesky and I have to say it's a breath of fresh air seeing a classic linux v windows argument instead of a bunch of incels virtually polishing Trump/Elon's knob.
Anyone praising WSL clearly hasn't used a real Linux distro.
I was hoping WSL2 on Win ARM would give me proper access to Linux ARM apps, as Win ARM has a very limited native app catalogue.
That was a disappointing experience.
November 17, 2024 at 11:26 PM
It has only taken a year and a bit to get this one out - LDA for excited states. It's a long and comprehensive treatment that we hope will be useful.

[experimenting with copying posts between twitter and BSky]

journals.aps.org/prx/abstract...
Local Density Approximation for Excited States
The ground states of homogeneous electron gases have been used to predict material properties for nearly a century. A new formulation extends this to excited states.
journals.aps.org
November 17, 2024 at 4:01 AM