Lab to product scale-up is a well known hard problem in materials (and chemistry), lots of public and private investment has been aimed at accelerating this for decades
I think the distinction between discovering a material and processing / scaling it up is a bit artificial. A lot of people think of a new material as just the crystal structure or something, but really all the defects and complex multiscale structure is just as much part of what defines a material, and controlling all that is why materials development is hard, and why you need so many different complementary measurements to understand what’s going on
I was a bit underwhelmed by this writeup because it’s a bit generic. I didn’t really see any specific new ideas on how to accelerate this process, or to differentiate from the main stream of materials discovery research which has been pretty dominantly AI forward for at least five years now
EDIT: I checked out some of their case studies and they’re pretty interesting and exploring some new materials characterizations territory. They’d be more impactful if they were more than just text IMO but much more concrete and less generic than the linked post
Maybe I have too optimistic a mindset, but “just be honest” in academia isn’t about being a rule-follower, it’s about not short-changing yourself by coasting though on autopilot instead of learning to think and solve problems for yourself.
Whether that really matters if your goal is to climb the social ladder and have power and influence, I don’t know.
> You allowed a take-home exam which means students are able to use any and all resources.
It was a closed-book exam. The professor shouldn’t have to hold students’ hands for them to act with integrity, they are all adults.
In this particular class, the professor made the final exam in-person, and didn’t count the take-home midterm because the score distribution wasn’t consistent between the two exams. I think that’s a reasonable approach, but it’s kind of sad that it was necessary
In my experience the input field lags on short chats too, sometimes in the middle of writing the second or third prompt. Are they running some kind of prospective evaluation or something?
If the explicit role-playing prompt is just to identify multi-valent terms, then revising the question to include more specific context without a role-play prompt should work just as well right? I’d be really interested if anyone has evaluated that hypothesis
A fun (frustrating) feature of language is that we get these name collisions even with a single domain. One that I have to remember to revise myself fairly often these days when chatting with other experts in my field is “diffusion model” which can either mean generative deep learning or a differential equation describing mass transport.
That’s the active research area GP mentioned. In startup land there are a few large outfits, Lila Sciences, Period Labs, Radical AI are all doing a mix of simulations, AI, and autonomous laboratory infrastructure specifically for materials science. (Lila does a lot of biotech but the have materials researchers too)
Also lots of interest and activity in this space in the national labs and academic research scene
It depends what you mean by commercially interesting. There’s loads of interest in aerospace (for high temp corrosion resistant structural components) and catalysis but these alloys are pretty much across the board at a relatively low level of technical readiness. It’s developed enough that there’s significant industry R&D and not just academic and government research, but I don’t think there’s really wide-scale deployment yet of alloys with 4+ principal elements
It seems like an opportunity for a hierarchical cache. Instead of just nuking all context on eviction, couldn’t there be an L2 cache with a longer eviction time so task switching for an hour doesn’t require a full session replay?
I think the exceptionalism is the other way around. What makes anyone think they understand what makes for intelligence when we barely understand our own neurology?
It is, but NSA reports to the director of national intelligence, not the defense secretary, so it’s unclear (to me at least) that SecDef’s opinion of Anthropic counts for anything here
I guess DOD is large enough they have multiple parallel cabinet level positions
Admittedly my understanding of QM is a bit vibey but I’ll try to answer
In an atom, angular wavefunctions with wavelengths non-integer divisions of 2pi can’t exist because of the boundary conditions on the wave equation. A free electron can have any wavelength, but once you put it in a box (confine it to the potential around a proton in a Hydrogen atom) the non-integer wavelengths aren’t allowed
I think it’s instructive to think about what the wavefunction represents. It’s square is the electron probability density (technically the wavefunction is complex valued so it’s the wavefunction times it’s complex conjugate). If you have a non-integer multiple wavelength then the wavefunction goes out of phase with its complex conjugate after one period, and if you integrate over the angular domain the electron probability has to be zero everywhere.
This also answers your second question. The radial solution to the wave equation for hydrogen gives you the Laguerre polynomials. They don’t all go to zero at the nucleus though, actually the first one has a maximum at zero because it scales like exp(-r) (See fig 4.10.2 on chem.libretexts linked below). But when you do a volume integral to calculate the electron probability, the probability near the nucleus is low because the integration volume is small even though the wavefunction is large
The reason is that electrons (like all quantum mechanical objects) are wavelike. In an isolated hydrogen atom, the electron is in a spherically symmetric environment, so the solutions to the wave equation have to be spherical standing waves, which are the spherical harmonics. The wave frequencies have to be integer divisions of 2pi or else they would destructively interfere. (Technically each solution is a product of a spherical harmonic function and a radial function that describes how fast the electron wave decays vs distance from the nucleus)
What’s interesting is if the environment is not spherically symmetric (consider an electron in a molecule) the solutions to the wave equation (the electronic wave functions) are no longer spherical harmonics, even though we like to approximate them with combinations of spherical harmonic basis functions centered on each nucleus. It’s kind of like standing waves on a circular drum head (hydrogen atom) vs standing waves on an irregular shaped drum head
Of course the nucleus also has a wave nature and in reality this interacts with the electrons, but in chemistry and materials we mostly ignore this and approximate the nucleus like a static point charge from the elctrons perspective because the electrons are so much lighter and faster
While the treatment for methanol poisoning indeed includes ethanol, I don’t think your dosage suggestion is right. Your body would still have to process all the methanol, the job of the ethanol is just to slow down the reaction. If you suspect methanol poisoning you need the hospital, they will administer the ethanol intravenously and I think do dialysis to remove the methanol and the formic acid it metabolizes to (this is one of the toxins in ant venom)
There are groups that are actively working on automating conventional labs like this. Most of the efforts I know about use non-humanoid mobile robots or even just a six-axis arm on a rail and some lab space reconfiguration
This issue of accessibility is widely acknowledged in the academic literature, but it doesn’t mean that only large companies are doing good research.
Personally I think this resource mismatch can help drive creative choice of research problems that don’t require massive resources. To misquote Feynman, there’s plenty of room at the bottom
I like this analogy of always choosing “I’m feeling lucky” on Google, I feel like it clarifies a boundary between information retrieval and evaluation that gets blurred by language model summarizations. I’ve been frustrated with the LLM summary at the top of the Google search results for scientific topics because often the sources linked to don’t actually contain the information the summary is citing them for. Then I have a side quest of finding the right backing literature or deciding the summary was just wrong in the first place
I don’t know why the author of the article wrote “could”, but I personally work closely with some non-high-risk-country NIST foreign guest researchers. It’s been filtered down verbally through the management chain that the end of this September is the re-review deadline, and it’s not been stated as a hypothetical.
There is https://orcid.org which is a persistent identifier for a researcher. It would be interesting if sending email to a researchers orcid handle resolved to their current institutional email address I guess?
My usual workflow is find the person on google scholar, find their uni/lab homepage, and hope they published their email there.
It’s all foreign guest researchers by the end of September, high risk countries by the end of March. Your first quote doesn’t imply the NIST sources for this article don’t have firsthand knowledge that this is coming, it’s just that it appears the lab management is avoiding putting things in writing
My research interests include applied machine learning for quantifying materials substructure, which we call microstructure.