Dr Thomas Moore

@drthomasmoore.bsky.social

Proud Husband. Doting Father. Modelling & Developing Clean Energy Technologies @ Queensland University of Technology

Australians are quietly patriotic, and why wouldn't you be? - Compulsory preferential voting. - Watching the cricket on free to air TV. - A quality, ad-free ABC. Today we can add: - A social media ban on under-16s. Sensible, evidence-driven policy in the face of megalithic corporate interests.

I continue to vacillate on GenAI in teaching. This is ChatGPT on the isomorphism between the Ising and Gas Lattice models. Its explanation is the worst of both worlds: it sounds authoritative & plausible, yet is nonsensical. (We do have H[n] = H[1-n]). I worry about undergrads relying on this.

Explanation of the Ising Model

Been very happy to discover standardebooks.org A well-formatted ebook is so much more enjoyable to read. I've already read some Hemingway and the (hilarious) Jeeves Stories of P. G. Wodehouse; I now have some Agatha Christie lined up on my old kobo (plus more Wodehouse...). 📚💙

Standard Ebooks

Free and liberated ebooks, carefully produced for the true book lover. Download free ebooks with professional-quality formatting and typography, in formats compatible with your ereader.

standardebooks.org

Report from 2025's 3rd year "Entropy and Temperature" lecture: gosh this is difficult to teach. One day I'll master the 2h rigorous introduction to entropy... Next year we might experiment with some of the heat engine-based derivations (God forbid). Kardar's approach is tempting: elegant & brief.

Dr Thomas Moore@drthomasmoore.bsky.social · 2y ago

Entropy is one of the most difficult topics in all the physical sciences. There are as many ways to teach entropy as teachers who teach it. Today, I want to discuss a personal approach from a paper in Chemical Engineering Education. 🧵 journals.flvc.org/cee/article/... #EnergySky #ChemSky #Science

I spent some time this morning in Eisberg's Quantum Physics. It's stunning. There's a lot of hype about GenAI for learning. I buy it in domains where notation & facts are key (lean LaTeX; learn woodworking). But in science, nothing can replace a beautiful, well thought through textbook.

I spent the afternoon looking through CVs for a PhD program. All over the world, there are talented young engineers doing beautiful & subtle work. Yet so many of these bright minds have struggled to find work & stability in their home countries. It's heart breaking. We need to do better by them.

It's amazing how many equations which were historically derived via fancy math can, in hindsight, follow straight from dimensional analysis. To name a few, - Stokes equation - Darcy equation - Richardson-Zaki Any others?

I take encouragement from the fact we have made so much progress in clean tech *in spite* of constant political pushback and a lack of sensible economic incentives. 35% of CCS projects are *not* run for the purpose of enhanced oil recovery, or any other purpose beyond preventing CO2 emissions. 1/

There's a chance AI makes much engineering work redundant in the near future. But if it doesn't, it's certainly made it *much* harder to train engineers with assignments asking them to solve intermediate, stepping-stone problems. OpenAI's free O3-mini is scary-good at problems at that level.

Just threw my favourite reactor engineering problem at ChatGPT's new (free) o3-mini model and it nailed it. I came up with this problem years ago. It doesn't feel solvable at first: you need a good instinct for 1st-order reactions, and I haven't seen something similar in any textbooks. Impressive.

Reactor EngineeringAnswer

How did academics spend their time before personal computers were around? I forgot my laptop this morning; after the initial paralysis, I read a paper, got some writing done and responded to an urgent email on my phone. I like this pace. I might 'forget' my laptop again soon... #EduSky #AcademicSky

Very happy to share our latest perspective in Nature Chemical Engineering, 'Accelerating climate technologies through the science of scale-up.' We discuss tools academics and R&D engineers can use to accelerate the scaling of new technologies. Read it here! rdcu.be/d30IM @nature.com 🧪⚛️ 🧮 🔌💡

Accelerating climate technologies through the science of scale-up

Nature Chemical Engineering - This Perspective argues that early assessments of technology-market fit, as well as how the physics governing system performance evolves with scale, can de-risk...

rdcu.be

Kazuo Ishiguro's novels are perfect. 💙📚 Go - go read them all. Whatever you do, don't read a review; they spoil the effect entirely. You can trust me. Start with 'The Remains of the Day'. That is all.

The Remains of the Day

I remember doing research on Liquid Organic Hydrogen Carriers (Formic Acid in particular) and realising *just* how inefficient & expensive they are. Liquefaction is much easier. But it's still very, very hard. As usual, Michael Liebreich says it best. #GreenSky 🧪🔌💡

Michael Liebreich@mliebreich.bsky.social · 4y ago

A thread for those who think we're going to be importing lots of hydrogen over vast distances. 1. Shipping liquid hydrogen is not going to be a thing. To understand why, you need to understand that hydrogen is basically liquid, -253C escapey, explodey expanded polystyrene.

I've spent the last little while reading the excellent (satirically titled) textbook 'Understanding Deep Learning' by Simon Prince. The field is a joy, and full of surprises. Take Double Descent: the unintuitive behaviour which is the mathematical cornerstone allowing massive LLMs to be trained. 🧵

UDL

Machine learning is the statistical physics of the 21st century: - Phenomena that emerge at scale. - Criticality phenomena (phase changes; critical points; double descent criticality.) - Practitioners using tools that work, though no one understands why (ergodicity; entropy; superposition; SGD).🧪⚛️