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Generated image from "Crowded dance floor seen from above, with clusters of dancers all performing identical synchronized movements within their groups. The dance moves are visibly spreading from dancer to dancer like a wave, with clear boundaries between different dance styles." using DALL-E 3 from OpenAI.

Generated image from "A time-lapse of a stadium doing increasingly energetic waves. In the first frame, a perfect grid of glowing points shows almost perfect alignment. As the wave intensifies in subsequent frames, the points become increasingly chaotic and misaligned, eventually showing completely random orientations at the height of the wave's energy." using DALL-E 3 from OpenAI.

Generated image from "A bookshelf with various books - thin paperbacks laying flat, tall encyclopedias standing upright, and a few books precariously balanced on their edges or covers. An invisible force appears to be trying to rotate the books, with the encyclopedias strongly resisting the rotation while the paperbacks easily change orientation." using DALL-E 3 from OpenAI.

Generated image from "A political map showing a country divided into distinct districts, each colored either red or blue. Some areas show large unified blocks of a single color, while boundaries between differently colored regions are clearly visible. A giant hand is holding a magnet above the map, causing more districts to align to the same color" using DALL-E 3 from OpenAI.

Generated image from "Only visualize this idea. No text. Imagine a dance floor with a simple rule: dancers (electrons) with the same moves (spins) need more space between them due to social etiquette (Pauli exclusion principle). In ferromagnetic materials: When two dancers meet, it's energetically favorable for them to dance the same way (parallel spins) As one dancer starts doing a specific move, nearby dancers naturally follow along This creates "dance neighborhoods" (magnetic domains) where everyone is synchronized The "dance style" spreads from one dancer to the next - this propagation is the exchange interaction. Some dance floors (crystal structures) naturally encourage everyone to dance the same way, creating strong magnets." using DALL-E 3 from OpenAI.

Generated image from "A stadium filled with people, each holding a flashlight. In a magnet, something special happens - everyone agrees to point their flashlights in the same direction. Suddenly, that side of the stadium becomes brilliantly bright. This coordinated alignment is what creates a magnet's strength. Each flashlight is like an electron's magnetic moment, and when aligned, they create a powerful cumulative effect." using DALL-E 3 from OpenAI.

Generated image from "Imagine a stadium filled with people, each holding a flashlight. In normal materials, people are pointing their flashlights in random directions, so the overall stadium appears dim from above because the light is scattered in all directions." using DALL-E 3 from OpenAI.

This paper presents MatterGen, a model that generates stable, diverse inorganic materials across the periodic table and can further be fine-tuned to steer the generation towards a broad range of property constraints. To enable this, the authors introduce a new diffusion-based generative process that produces crystalline structures by gradually refining atom types, coordinates, and the periodic lattice. https://arxiv.org/abs/2312.03687

This paper introduces LLaDA, a diffusion model trained from scratch under the pre-training and supervised finetuning (SFT) paradigm. LLaDA models distributions through a forward data masking process and a reverse process, parameterized by a vanilla Transformer to predict masked tokens. https://arxiv.org/abs/2502.09992

It feels like the whole town comes out every day for sunset at the beach. Puerto Escondido is on the Pacific side where you can see some amazing sunsets.

If you could sum up the vibe of Puerto in one video, this is is. You've got a chameleon on this friendly guy's shoulder, Temu Tarzan singing, and the doggo in the back bopping.

Domains registered within days of this post. Not a dataset - just a wordlist

pepe vibe eng

Visualizing the change in a selection of latent features from 0 K to 40 K.

X axis is the starting value, Y axis is the ending value. Points on the y=x line indicate no change over the temperature range. Each subplot is a separate feature.

Comparing how feature 63 and corresponding SHAP values changes as a material increases in temperature

Measuring the effect of changing the spacing of a layer in the crystal and how it changes the latent space representation of that material.

Simulating the effect changing the spacing between the layers of a cuprate has on the latent vectors that represent that material.

Measuring the impact scaling the crystal lattice has on different select latent features.

We find a similar idea that high-Tc materials form clusters and are generally a sweet spot within the range of a feature's values.