I get endless cold-emails selling me something. Was wondering how many of them are human. The answer turns out to be: none.
Updated my LinkedIn profile yesterday. 10 monastic messages today, of which this was the best.
For Retired Engineers…
I know I'm not the only one to have noticed the fact that many- indeed most - such correspondents are Electrical Engineers (usually retired). I was delighted therefore to see that there's now a nice little paper on arXiv by David Garfinkle with the title Relativity for…
We undertook Hierarchical Equations of Motion (HEOM) simulations, with a two-bath coupling which we think is a good representation of organic electronic materials.
We then used the memory-kernel projector method on the HEOM and calculated effective classical rates that were in close agreement.
These intramolecular states only exist in a solid, and are very sensitive to the details of micro-morphology. Perhaps this is one reason for the observed sensitivity of Y6 to processing conditions?
(Frozen) solution versus solid-state measurements should be able to verify or refute this process.
At the end of the term I asked my college creative wriing students to submit anonymous thoughts on AI. No real surprises: Mood ranges from resignation to despair, capitulation from embittered erosion of standards to total, feelings of betrayal from deep to furious. 1/
New paper! arxiv.org/abs/2606.12221
From building an effective model to simulate non-adiabatic dynamics in Y6 in the solid state, we noticed that spin-orbit-coupling was massively enhanced in (singlet charge transfer) <=> (triplet Frenkel) excitons. We attribute this to a generalised El-Sayed rule.
Motivated by the latest round of undergraduate project report reading and marking, I wrote a little essay / group guide to using LLMs in science.
As I thought this might be useful beyond my little research group, I made it public: docs.google.com/document/d/1...
Growing out of our ML4ATOMS cross-London TYC journal club, we now have a 'think-piece' on Machine-Learned Interatomic Potentials.
So far, these really are the 'killer app' for machine learning in condensed matter / chemistry, so well worth thinking where they go next!
arxiv.org/abs/2606.07327
IMO, senior faculty at top R1 institutions rushing to use AI to flood journals with papers before future students or early career researchers can have an opportunity is not just greedy, it's salting the earth of the discipline.
Slides from my contributed talk today at thomasyoungcentre.org/event/tyc-8t...,
Path integral polarons for real semiconductors.
speakerdeck.com/jarvist/path...
I had a ball! Great talks. Lovely to see the community. A strong pastry game from KCL.