A lower limit can also be set for the corresponding Y axis. I don't recall how the code was exactly, but something along the lines of this:

ax.set_ylim(bottom=0) 

should clamp the minimum to 0 while leaving the top unlimited/autoscaling.

matplotlib.axes.Axes.set_ylim — Matplotlib 3.7.1 documentation

Something similar should exist already in the code for the X axis to lock the view to the previous 3 hours of time.

I'm not really up to date with recent advancements with this plotting library, although I think I remember that the auto-updating code that I made for this was already a sort of a hack job that could have been done differently.

Is gas pump-out/in at elevated temperatures as suggested by me356 also going to be tested?

Quote from me356

You will need to deload and load the meshes as many times as possible. Do this at as high temperature as possible. Hydrogen flux will increase with each attempt.

I think that in 3 weeks we will be able to ship you new batch of meshes.

Shouldn't all of this derailment go into The church of SM physics or similar threads?

Judging from what little I've heard in the videos linked above at the indicated timestamps, Andrea Rossi sounds more credible.

Leif Holmlid uploaded:

https://www.researchgate.net/publication/369266419_Response_to_Comment_on_Ultradense_protium_p0_and_deuterium_D0_and_their_relation_to_ordinary_Rydberg_matter_a_review_Physica_Scripta_94_2019_075005

Response to Comment on Ultradense protium p(0) and deuterium D(0) and their relation to ordinary Rydberg matter: a review [Physica Scripta 94 (2019) 075005]

Quote

In this answer to the Comment by Hansen and Engelen it is shown, that if there is any violation of the baryon number conservation law in H(0) nuclear reactions, it is not at all of the form that the authors believe. Their belief is disproved by cited well-known scientific results from other groups. It is further shown that quantum mechanics in H(0) molecules is different than these authors believe, not formulated in kinetic energy terms but defined by angular momentum quantization. Repetition of experiments is required, not pondering by non-specialists.

Although what they're doing exactly is not clear since they hardly publish anymore detailed information about their models, they are most likely not continuously indexing web pages. The data for training the language models is usually assembled in advance, then the models trained for weeks/months on that data.

For example, for LLaMA (which I linked earlier) the authors used a dataset composed like this:

The "tokens" OpenAI lists on their pricing page are for the input/output generated through their service/API. You can check in practice how tokens work here: https://platform.openai.com/tokenizer

Paper on LLaMA from the authors:

LLaMA: Open and Efficient Foundation Language Models

We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it…

arxiv.org

LLaMA: Open and Efficient Foundation Language Models

Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample

Quote

We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of-the-art models using publicly available datasets exclusively, without resorting to proprietary and inaccessible datasets. In particular, LLaMA-13B outperforms GPT-3 (175B) on most benchmarks, and LLaMA-65B is competitive with the best models, Chinchilla-70B and PaLM-540B. We release all our models to the research community.

Here are a few examples on how LLaMA-33B (one of Facebook/Meta's recently released language models, arguably among the best available for local use) thinks a powder-based LENR reactor could be made (don't try these up).

Putting jokes aside, a problem is that the quality of the responses strictly depends on what data was used for the training. At their core, large language models (even ChatGPT-4) are for the most part "text predictors" and don't have real reasoning or logical skills, so they shouldn't be blindly trusted even if they can give the semblance of intelligence. They are also prone to "hallucinating", i.e. make stuff up.

I think It would be interesting to see a "LENRGPT", i.e. a language model fine-tuned on material from the LENR community. One of the already available "pre-trained" models could be used as a base (e.g. Meta's recently released LLaMA, or other models with a more liberal license), then further source data (papers, documents, etc) from the LENR community used for the fine-tune. Many of these models are already trained on a large amount of papers from arXiv, but not specifically on LENR papers.

While this would not be something exceedingly out of reach for small groups or universities, even just the fine-tune step takes significant amounts of compute power (i.e. money) for anything remotely smart, though. On the other hand, the fine-tuned models could be sized such that for inference (querying the language model) consumer-grade GPUs may be sufficient.

Quote from me356

[...] To achieve excess heat tendency of the pressure must be declining. Excess heat - at least in this experiment - will not show up until fuel will "decide" to load the hydrogen back, at least in a limited way. If the gas inside the cell is really hydrogen then tendency is strongly rising. But it should rather continue in what we saw immediately after filing. If that trend would continue we would see excess heat.

Does this imply that the copper-coated meshes will be more reliable in showing excess heat? It feels like there is a competing negative effect due to palladium forming a hydride/deuteride.

Podcast

Utah’s Cold Fusion Moment

In 1989, The University of Utah was in the national spotlight when two of its chemists announced the discovery of a powerful energy source that would solve the…

radiowest.kuer.org

Quote

Utah’s Cold Fusion Moment

In 1989, The University of Utah was in the national spotlight when two of its chemists announced the discovery of a powerful energy source that would solve the world’s energy problems: cold fusion.

U of U chemists Martin Fleischmann and Stanley Pons told the world they had “established a sustained nuclear fusion reaction” at room temperature. If true, not only would this be a clean source of energy, but an answer to climate problems. The trouble is, no other scientists could re-create the experiment and Fleischmann and Pons were soon written off as junk scientists. This Friday at 11 a.m., we’ll talk about that moment in Utah history.

GUESTS:

• Rod Decker is a retired news reporter for KUTV-2.
• Clayton Brown is a co-director and co-producer for the film “The Believers” and an Associate Professor of Communications at Northwestern University.
• Monica Long Ross is a co-director and co-producer for the film “The Believers”

You can watch “The Believers” on Amazon or Vudu

Airdate: Friday, Jan 20, 2023 at 11 a.m. and 7 p.m.

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In a paper published some time ago, Holmlid proposed that metal–graphite thin films could be used for storage, but also that large-scale storage is not recommended.

Future interstellar rockets may use laser-induced annihilation reactions for relativistic drive

Interstellar probes and future interstellar travel will require relativistic rockets. The problem is that such a rocket drive requires that the rocket…

doi.org

Quote

The most suitable future storage medium will probably be an assembly of thin metallic or graphitic films.

Quote

Large-scale storage as H(0) is not recommended since the spontaneous nuclear reactions taking place in H(0) could give uncontrolled energy and radiation release.

In theory there's not much preventing what you're suggesting, but it has never been done in practice, so it's unclear whether it can actually work for bulk storage (i.e. in amounts large enough to significantly affect the density of the storage material).

It would really be interesting if extremely high-density materials (e.g. > 25 g/cm3) could be obtained by storing large enough amounts of H(0) within them. It would be conclusive and tangible proof that ultra-dense hydrogen actually exists.

The high vacuum was mostly needed for studying better the particles generated. It's suggested that "the formation of H(0) works at least up to 200 mbar of hydrogen pressure".

It's 10^13 mesons, not "1013"; the superscript didn't survive copy&paste.

Interestingly, this paper clarifies some aspects of the patent which weren't described in the patent itself (e.g. the heater).

What about placing a reversible hydride upstream in the gas feedline? It could be externally heated and controlled automatically, and possibly not affect too much reactor calorimetry in the current (magicsound's) configuration.

Quote from Frogfall

I notice that in the Santilli Magnegas patent he says that the carbon rod needs to be changed every 10 minutes in his prototype gas generator.

I quickly skimmed through the patent, and after the introduction and theory, it describes an improvement which does not use carbon rods. The carbon is from the slurry into which they are immersed.

Quote

[...] The sixth main novelty of this invention over pre-existing patents is the elimination of Carbon rods as electrodes and the use of high temperature resistant materials which do not necessarily release carbon under an electric arc. More specifically, extensive experimentation has established that, under a DC arc powered by 15 KW anodes composed by a tungsten rod of about 3/46 diameter and 2o length experience minimal consumption, with replacement needed over at least one month of operation.

In the latest paper uploaded, Holmlid suggests that there are results related to ultra-dense hydrogen in the scientific literature, which might partially answer the above question:

Quote

Related results on ultra-dense hydrogen exist in the literature. A superconductive state consisting of very high-density hydrogen clusters in voids (Schottky defects) in palladium crystals has been studied experimentally by Lipson et al. [17]. This effect was discussed as due to Bose-Einstein condensation [18] or a Casimir effect [19]. Such hydrogen clusters may give increased nuclear fusion gains [20]. The close relation between these hydrogen clusters and ultra-dense hydrogen has been pointed out [21].

References 17-21:

[17]. A. Lipson, B. J. Heuser, C. Castano, G. Miley, B. Lyakhov, and A. Mitin, Transport and magnetic anomalies below 70 K in a hydrogen-cycled Pd foil with a thermally grown oxide, Phys. Rev. B 72, 212507 (2005). DOI: 10.1103/PhysRevB.72.212507

[18] G. H. Miley, H. Hora, K. Philberth, A. Lipson, and P. L. Shrestha, in Low-Energy Nuclear Reactions and New Energy Technologies Source Book, eds. J. Marwan and S. B. Krivit, Vol. 2, p. 235-252 (American Chemical Society/Oxford University Press, Washington DC, 2009).

[19] H. Hora, G. H. Miley, Maruhn–Greiner maximum of uranium fission for confirmation of low energy nuclear reactions LENR via a compound nucleus with double magic numbers. J. Fusion Energ. 26, 349 (2007).

[20] X. Yang, G. H. Miley, K. A. Flippo, and H. Hora, Energy enhancement for deuteron beam fast ignition of a precompressed inertial confinement fusion target, Phys. Plasmas 18, 032703 (2011).

[21] L. Holmlid, H. Hora, G. Miley, and X. Yang, “Ultrahigh-density deuterium of Rydberg matter clusters for inertial confinement fusion targets”. Laser Part. Beams 27, 529 (2009). https://doi.org/10.1017/S0263034609990267

I am pointing out that unlike other cavitation energy claims, cavitation here appears to be produced by flash-boiling water with heat inside a constricted tube, not water flow through a pump.

I understand that the authors tried to replicate excess heat observations observed in commercial systems, but in my opinion from an experimental point of view a joule heater would decrease the number of variables involved and make it easier for others to reproduce the results.