So more like 65% energy conversion efficiency at best.
116 karma · joined March 17, 2025
So more like 65% energy conversion efficiency at best.
I wonder how machine learnability compares to other measures of chaotic structure, like multi-fractal approaches etc. I wouldn't be that surprised if it's accidentally the same or quite similar to some of the existing metrics.
You make a very good point. The historical trajectory of a field's development is an extremely haphazard presentation of the ideas. It belongs in a separate curriculum, and I'm grateful that the history of science exists as field for that purpose. It's nice to study the history after one has understood the material; that way we can see what ideas prospered and faltered, and what might be ready for reinterrogation.
Why should we study antiquated and easily falsifiable models before we get to our modern and less-easily falsifiable models?
Drawing on common intro chemistry: the plum-pudding model of the atom is cute in historical context, but a real distraction from what our best understanding of what atoms are, for which we have much better evidence than the helium-nucleus scattering experiment that first suggested a dense, charged nucleus in gold atoms. We really only need the old plum pudding as a counter example, yet fail to explain the experiment in enough detail to justify including it. What probably began as a fastidious attempt to provide full context to a landmark experiment has at this point completely degenerated into historical trivia about the structure of British desserts, and yet remains prominent in educational material.
Math is a bit better off in this respect.
I think the reader and the writer share the burden of accurate communication. The reader should ideally come prepared and the writer should provide as best they can. A prepared reader makes quick work of this typo.
I didn't catch the error the first time around because I autocorrected to Ge--there are only so many anions that can make that formula work and staring at these formulas all day long can make you go cross eyed anyway.
What I think is more dangerous to understanding is skipping formulas in favor of initials! BFO instead of BiFeO3, or BT instead of Bi2Te3, SRO for SrRuO3, LSFO for La0.3Sr0.7FeO3 abbreviations that I think obscure too much detail. You can more easily wander into talking about different things with the same terms. Such abbreviations are already endemic in condensed matter physics.
All that aside, it’s an interesting thing to think about but it’s not a basis for any kind of personal health recommendation and the authors state that. I have relevant expertise and this is a very complicated area that people routinely want to be boiled down into black and white simple advice. What this article seems to say is that lotion can affect the oxidation chemistry nearby it, but it’s not yet known if that is an effect with consequences that are on the whole negative or positive.
I would criticize the authors for their use of the word disrupt, because of the negative connotation carried by that word when talking about human biological systems. They use a softer, more neutral word, perturb, to express the same idea later in the article, which I think better expresses the idea without an emotional tinge to it.
Nice to include the giants we stand on as implied coauthors.
https://en.m.wikipedia.org/wiki/Perturbed_angular_correlatio...
I haven’t used it for my research, but it’s an incredible local probe of electric and magnetic fields in materials. There’s no other technique that I’m aware of that smuggles information about the chemical structure of a single coordination sphere into such clean, distinct emissions. The brief excited state of the isotope after the first emission event and before the second is sensitive to practically everything. It all shows up in the deconvoluted spectra.
Shame nearly all the isotopes that work for this are not ones that are super interesting for modern quantum materials. Perhaps that will change out of necessity.