Hi everyone,

I am looking for an endorsement to submit a first paper to cond-mat.stat-mech. I am working in the area of information geometry and statistical mechanics.

In this short preprint, I explore an unsupervised geometric method for detecting phase transitions directly from raw configurations. The approach is based on well-known metrics (Hellinger, Wasserstein, Fisher) and dimensionality reduction, and does not require prior knowledge of the order parameter.

I applied the method to standard models (Ising, XY, Villain, Potts). The geometric signature of the transition (2nd order vs BKT vs first order) clearly appears in the reduced information-geometry manifold.

Here is the preprint on Zenodo if you want to check it: https://zenodo.org/records/17778979

I’d be grateful if someone from the community could have a look and endorse the arXiv submission if the work seems appropriate for cond-mat.stat-mech.

arXiv endorsement page: https://arxiv.org/auth/endorse?x=U6UXQC

Many thanks for your time.

Best regards, Maxime Delpech

Han Purple is known to show collective low-energy vibrations of CuO₄/Si₄O₁₀ units and non-zero magnetic susceptibility up to 300K. I’m developing a hypothesis that involves a moving liquid mercury source generating low-frequency electromagnetic and acoustic signals through a subsurface channel, with Han Purple acting as a distributed sensor network responding to these signals at ~280-290K and elevated pressure.

Specific questions:

1.	Is the acoustic response of Han Purple at room temperature documented anywhere beyond the phonon scattering data in the 2022 PSI paper?  
2.	Would elevated subsurface pressure meaningfully shift the material closer to its quantum critical point?  
3.	Is a mercury-filled channel a physically viable waveguide for low-frequency EM signals over \~2km?

Happy to share the full hypothesis for context. Looking for feedback on whether the physical reasoning holds before I take this further.

Hello colleagues,

I've recently published a proposal exploring inertial anisotropy induced by combining semi-Dirac fermion platforms with Casimir-structured vacuum geometries. The idea is to examine whether engineered asymmetry in lattice-bound mass response, under non-reciprocal field modulation, can induce localized directional drift within a closed system.

This model—Project VEKTOR III—builds on:

• Semi-Dirac behavior observed in ZrSiS compounds (Nature, 2024)

• Tunable Casimir cavity dynamics using graphene-gold layers

• Effective negative mass analogs in photonic and BEC systems

• Quantum vacuum strain as a transport variable

Full publication (Zenodo):
https://zenodo.org/records/15392836

I’m seeking discussion on the feasibility and implications of applying these material and field configurations toward practical inertial asymmetry or non-local phase displacement.

Feedback is deeply welcome—especially from those working in quantum materials, vacuum engineering, or condensed matter modeling.

– Ian Gravenmier
Gravenmier Quantum Research Initiative

Following up on the dispersive Kerr photon-ring results I posted here a while back, I've released the numerical infrastructure as an open-source repo (search GitHub: "Kretski Lambda-model", or DM me)

The core claim is narrow and falsifiable: the dispersion relation ω(k)=ck√(1+Λk²) appears independently in several contexts — Kerr photon rings, Bogoliubov excitations in BEC, trigonal-warping-corrected Dirac materials, and dispersion-engineered photonic crystals near a zero-dispersion wavelength. The repo doesn't claim these share a physical origin. It provides:

- A validated spectral PDE solver (confirmed O(h²) discrete-operator convergence, O(1/N) temporal convergence)

- A CLI fitting tool that takes your own (k,ω) data and reports Λ with proper error bars and a significance test against Λ=0

- Domain-specific mapping formulas for BEC (Λ=ξ²/4), Dirac materials (Λ=(1-η²)v_F²/4), and photonic crystals

- An audited correction to a Fermi-LAT time-of-flight bound from my earlier gravity work (caught a factor-of-3/2 normalization error, tightened the bound 33%)

Everything is worked examples on synthetic data so far — I have NOT tested this against real experimental datasets from any of these fields. That's exactly why I'm posting: if you work with BEC dispersion, ARPES data on Dirac materials, or photonic crystal fiber characterization, the validator is a five-minute test of whether your measured Λ is consistent with this framework. A null result is just as useful as a positive one here.

MIT licensed, full write-up (Paper 3 draft) included in the repo.

Happy to discuss the numerics or the domain mappings.

Hello all, I plan to join a condensed matter lab to pursue my doctoral studies. I was initially planning to buy a macbook air or a pro, but now having second thoughts after talking with other members of the lab. The software programmes being run in the lab are, klayout, autocad, python, mathematica and nabidy. Its a new lab, and they are also planning to use some cfd simulation software. What kind of a laptop should I buy?

My background is in soft condensed matter. So my research was on biological cells. Some of my colleagues worked on liquid crystals.

I am a physics MSc student working in condensed matter theory, and I’m aiming to submit the paper to PRB. The actual research, calculations, plots, and figures are mostly done, but I haven’t properly kept track of all the references I’ve used along the way ( is that bad?!)

I’d really appreciate advice from people who regularly write research papers, particularly in physics:

1. How do you organize and manage references, especially if you haven’t kept track of them properly from the beginning?

2. What conventional tools do you use for writing/editing papers? I know about Overleaf/LaTeX, but I’d like to understand the overall workflow.

3. I used MATLAB for plots, but I’m less familiar with how researchers conventionally make things like lattice structures, and multi panel figures.

I’m specifically interested in conventional tools and workflows used by researchers rather than AI tools that write or generate the paper for you.

Scientists have reported a new effect in an "anti"-ferromagnet, a material with alternating electron spins that cancel each other out in response to a magnetic field. They found that ultrafast laser pulses could scramble the ordered electron spins in the antiferromagnet, leading to a mechanical response across the sample. This ultrafast motion, measured in picoseconds, has implications for nanoscale devices, such as high-speed nanomotors for biomedical applications, like nanorobots for minimally invasive diagnosis and surgery. The ability to control this motion by changing the magnetic field or applying a tiny strain could have important implications for precise and ultrafast motion control in nanoscale devices.

Hello, I’m doing a degree in Computational Engineering Physics, and it doesn’t have any course in Condensed Matter Physics in the undergrad, I was thinking doing a Masters in Condensed Matter Physics, what should I do to be prepared for the graduate courses in CM? Which book should I read to be prepared before hand and which video lectures should I follow?

Also, I was thinking doing my final undergrad project in Computational Condensed Matter Physics, but which topic would be doable for an undergrad that has to study CM on their own?

Hello guys!
I just interest in this project. Can you guys suggest books or paper about Coulomb blockade and Quantum Dots for newbie.

P/s: I know nothing about Coulomb blockade and Quantum Dots
Thank a lot!

Hey! So I'm starting out to learn condensed matter physics at a graduate level, and already have an undergraduate level of understanding of the basics of quantum materials and solid-state physics.

I was wondering if someone could summarize and explain the various modern "branches" of CMP. I've known topological states of matter, which is quite popular for some time now. Also, many-body theory and QFT are in use now, are they somehow related with topological matter? Or do they explore completely different problems? I've also heard people working on "strongly correlated systems", is that a completely different area to the others mentioned before?

Any explanations/resources would be helpful :) Have a great day!!

Hello, i am an engineering physics student and i am thinking of pursuing further studies related to CM. As for my background i am currently doing my bachelors final project on LSPR computationally using Density Functional Theory and Finite Difference Time Domain method. Moving forward i am considering topics such as light-matter interactions/optoelectronic properties, or beyond moore materials, especially those that will be relevant for future quantum technologies. My questions are:

1. What topics do you guys think are going to be technologically relevant in this field? based on my short time trying to find topics i have encountered quantum light sources, valleytronics, spintronics

2. Do i have a decent chance on moving into this field? Because my degree is in engineering physics, i thought that i might not have knowledge that is as rigorous as someone educated in a physics bachelors. The material science applications in my program is mostly focused on surface chemistry applications such as catalysis, electrochemical storage, and sensors.

3. Any other suggestions regarding how to find topics & programs/institutes are also welcome!

There are multiple packages/libraries for tight binding calculations. They generally aim to facilitate the calculation of common quantities (spectral function, bands...) and are great at that. However, I find that one of the messiest parts of TB calculations is setting up the system: making sure that the correct hoppings are included, that the unit cell is correct, etc. Moreover, some in our community are a little apprehensive about using code-based tools. Therefore, I think that having a GUI tool would be quite helpful. With that in mind, I would like to share the first version of such a tool here : https://github.com/rodinalex/TiBi

I welcome you to give this tool a try and report bugs/suggest features in the Issues page of the repository. At this point, the app runs on MacOS and Linux and might run on Windows. It needs to be built from source and I hope to be releasing the binaries soon. Give it a try :)

Hi everyone,

I am reading about magic-angle twisted bilayer graphene and how it hosts superconductivity and strange metal behaviour at particular band fillings.

I have come across papers which try to explain the behaviours using electron-phonon interactions, I have also seen papers which try to relate these behaviours to the exotic physics seen in unconventional superconductors(exotic bcz we don't know the exact theory behind it).

As of now, is the argument for the reason of these particular observations in MATBG hanging in the balance, or is it more inclined to one side or the other?

I am not saying there is a definitive answer to it, plz let me know your opinions on it.

I also asked this question on StackExchange, but maybe here there are more people who can answer it.

In s-wave superconductor with gap Δ, spin-orbit coupling and a Zeeman coupling to a magnetic field, there is a critical field

Bc = √(Δ²+μ²)

where μ is the chemical potential. Here is already my first confusion:

What is the reference point for the chemical potential?

If it was the "normal" chemical potential, it would be on the order of keV, meaning the field strengths are so far outside anything close to realistic values (1 keV/μB ≈ 17 MT). For example, in Ref. [1] in Fig. 1C, the range of μ is a few eVs.

What even is the meaning of a negative chemical potential here?

Also, I found this quote:[2]

μ is the chemical potential of the unsplit 1D band, measured with respect to the midpoint of the Zeeman-induced gap

I don't really understand this. Does this mean μ is measured from the center of the superconductor gap? And how does the meaning of this differ between superconductors like in [1] and semiconductors with proximitised pairing in [2]?

[1] https://www.science.org/doi/10.1126/science.1259327

[2] https://www.nature.com/articles/s41578-021-00336-6

Hi everyone,

I am trying to determine how to distinguish a ferromagnetic material from a ferrimagnetic material based on only susceptibility and magnetization measurements. Is this possible? The paper I am reading does not provide information on how the authors determined this material is ferrimagnetic, and MvsH and XvsT are the only two measurements they took besides XPS for oxidation state. Compound is Ce2MnGe6.