Prof. Michael S Fuhrer Profile picture
Aug 2 18 tweets 4 min read Twitter logo Read on Twitter
I am seeing a lot of newcomers lately to the room-temperature superconductor rodeo.

They might not be aware of the long history of these events, and I think there’s some cross-cultural communications difficulties going on because of that.

1/
There’s no reason (that we know) that a room-temperature superconductor can’t exist.

But we also don’t know how to make one by design.

It almost certainly won’t superconduct by a “conventional” (i.e. phonon-mediated BCS) mechanism.

2/
So it’ll be a serendipitous discovery in some unexpected strange material.

But not every serendipitously discovered unexpected apparent very low resistance state in a strange material is superconductivity!

3/
You’d think superconductivity would be easy to detect; it comes with zero electrical resistance, so if you measure resistance, and it’s zero, you’re done. Unfortunately there are many ways to get fooled (too many for one thread!)

4/
So generally you’ll see multiple pieces of evidence for superconductivity in a new report: Meissner effect, AC susceptibility, temperature-dependent critical field and critical current, single-particle tunnelling gap, jump in specific heat at T_c, Josephson tunnelling...
5/
... AC Josephson effect, etc. (Probably not all of these in one paper, but usually at least a couple in addition to zero resistance.)

6/
Even then, nature sometimes throws good scientists a curve ball, and can fool on multiple counts. So there is a steady trickle of difficult-to-explain results that look a lot like superconductivity, sometimes at unexpectedly high temperatures.

“Tantalizing” is often used.

7/
These are colloquially called Unidentified Superconducting Objects.

(I’ve heard a few scientists credited with originating that phrase; Bob Cava credits Koichi Kitazawa in the linked paper).



8/sciencedirect.com/science/articl…
Just a few examples (the ones I could think of off the top of my head – I am sure every condensed matter physicist has their favourites!)

1) palladium hydride


9/sciencedirect.com/science/articl…
2) multi-walled carbon nanotubes


3) doped graphite
https://t.co/UWQmNZF5lu

4) silver nanoparticles in a gold matrix
https://t.co/I6ZX8zwGpg

10/arxiv.org/abs/cond-mat/0…
onlinelibrary.wiley.com/doi/10.1002/ad…
arxiv.org/abs/1807.08572
The last one comes with a nice video showing diamagnetism at room temperature!



11/
There are also some more scandalous cases where fraud was known to occur or strongly suspected. But AFAIK the examples above aren’t scandals*, and reputable scientists were involved.

*Some may disagree. Let’s just say that there are probably many genuine reports out there.

12/
Also notable is that there’s no clear end to each of these stories; in many cases if you look into these past examples, you’ll find them just as credible as the most recent example. It’s just that, after a while, with no news of experimental replications in other labs...

13/
...interest fizzles out.

Unfortunately many mysteries in science remain unsolved!

14/
New superconductors *are* discovered of course, sometimes w/ unexpectedly high (but well below RT) transitions, in unexpected places (doped C60, MgB2, and pnictides are a few during my career). For these, experimental replications are numerous and they're widely accepted.

15/
I hope this goes some way towards explaining how people in the field view reports of superconductivity at unexpected high temperatures. They are exciting! And worthy of discussion. They’re science, and they also inspire more great science...

16/
...trying to figure out if there’s really a new superconductor there, and how it might work.

But there’s also a healthy scepticism and a wait-and-see attitude among those who’ve been to the rodeo before.

17/17
PS, in tweet 2, I should have specified that a room temperature *ambient pressure* superconductor almost certainly won't have a phonon-mediated BCS mechanism.

(It could happen at high pressure, though recent reports are also colourful.)

18/17

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Prof. Michael S Fuhrer

Prof. Michael S Fuhrer Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @MichaelSFuhrer

Apr 10
By many reckonings New Zealand had by far the lowest excess mortality of the pandemic of any country of near-comparable or larger size, in particular more than 10X lower than neighbouring Australia. Is it plausible that this is correct?

A thread.🧵

1/
economist.com/graphic-detail… Image
“Excess mortality” refers to the deaths occurring during a crisis or event which would not have otherwise occurred during “normal” conditions. It is inherently subjective, and can’t be measured precisely even in principle, because of the unknowable counterfactual...

2/
...of what would have happened had the crisis or event not occurred.

Estimating excess mortality relies on extrapolating past mortality rates to estimate the “normal” counterfactual.

3/
Read 56 tweets
Feb 3
Some notes and musings on the period of damped oscillations in the approach to endemic equilibrium:

The period is given *roughly* by:

T = 2π/sqrt((R0-1)γξ)

where R0 is basic reproductive number, γ is recovery rate, ξ is waning immunity rate.

1/
For

R0 = 10,
1/γ = 1 week,
1/ξ = 50 weeks,

we get T = 14 weeks between epidemic waves, close to the observed 4 waves/year.

2/
The high R0 and fast waning time are producing rapid waves, however note that the wave period (14 weeks) is much shorter than the average time between infections (50 weeks); a "wave" does not mean everyone gets infected again.

3/
Read 6 tweets
Feb 1
I'm still trying to understand where @CrabbBrendan and @BurnetInstitute get their numbers for influenza and covid hospitalizations in Australia.

1/

In this article, @profmiketoole and @CrabbBrendan claim that 1,700 people were hospitalized for influenza in 2022.

I can't find that data publicly - anyone know where it comes from?

2/

theconversation.com/imagining-covi… Image
The NSW weekly surveillance reports tracked emergency department visits resulting in admission, for influenza-like illness and covid for a period of time in 2022.

Data are available for both from 30 April to 22 October.

3/

health.nsw.gov.au/Infectious/cov… ImageImage
Read 11 tweets
Jan 17
Let's have a look at this headline statement. Could long covid plausibly become Aotearoa's leading cause of disability?

1/
Around 24% of New Zealanders have a disability.

2/

health.govt.nz/our-work/popul…
I don't believe we have any good estimates of how many New Zealanders have been disabled by long covid (if I'm wrong, please tell me). But we can look to the UK which has been surveying the population regularly.

3/

ons.gov.uk/peoplepopulati…
Read 17 tweets
Jan 17
Some discussion about the chart I made (below), in regards to the paper (then preprint, now published, see links in following tweet) by @zalaly and co-authors.

@AllyBrownSIPHER
@drclairetaylor
@LauraSteckley
@macroliter
@zeynep

1/🧵
Pre-print on which I based my figure is here: researchsquare.com/article/rs-174…

Published version (there are significant changes from the preprint) is here: nature.com/articles/s4159…

2/🧵
Note: setting aside my drawing and its interpretation, in the published version of the article (added since preprint) the authors clarify without ambiguity that their study should not and cannot be used to compare the risk of reinfection with that of a first infection.

3/🧵
Read 29 tweets
Dec 15, 2022
RSV hospitalizations have peaked in the US: earlier, higher, and sharper than usual, as predicted by epidemiological models taking into account the lower immunity/higher susceptible population due to lower infections in previous years.

1/ Image
My question for those who don't like this interpretation:

What is causing hospitalizations to fall (point 2)?

2/ Image
Basic epidemiology would say that at point 1, the susceptible population was higher than the (temporary) herd immunity threshold (HIT), that is, a "gap" or "debt" in immunity, so R_eff > 1, and the time rate of new infections grows.

3/ Image
Read 8 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(