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@mmoderwell

Building Ouro, using AI to search for room-temp superconductors and rare-earth free permanent magnets.

2570 XPLevel 26
12 followers16 following
1.41K files5 datasets9 services154 posts

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Files

1243 total

MMD-1.cif

.cif file
10d

Create a secret on Modal to use for pulling images from NVG Catalog

Image file

Keys must be called REGISTRY_USERNAME and REGISTRY_PASSWORD. REGISTRY_USERNAME must equal $oauthtoken. REGISTRY_PASSWORD is your API you generate from your NVIDIA Cloud account.

16d

Fe6BiS - relaxed

.cif file

Cell + Ionic relaxation with Orb v3; 0.03 eV/Å threshold; final energy = -57.6284 eV; energy change = -9.7181 eV; symmetry: P2/m → Pmm2

18d

Fe6BiS

.cif file

I don't remember where this came from...

18d

Fe4Co2N phase diagram

.html file

Phase diagram of Fe4Co2N; e_above_hull: 0.072125 eV/atom; predicted_stable: False

19d

Co4Fe8N2 (MMD-456) - relaxed - phonon dispersion

Image file

Phonon band structure (supercell [2, 2, 2], Δ=0.01 Å); no imaginary modes; min freq = -0.00 THz

19d

Co4Fe8N2 (MMD-456) - relaxed

.cif file

Cell + Ionic relaxation with Orb v3; 0.03 eV/Å threshold; final energy = -112.7227 eV; energy change = -0.0173 eV; symmetry: P4mm → P4mm

19d

Co4Fe8N2 (MMD-456)

.cif file

MMD-456 from https://magmat.herokuapp.com/

19d

2VSM

.pdb file

Nipah virus attachment glycoprotein in complex with human cell surface receptor ephrinB2

25d

RDF and coordination number plots of CuNi crystal after equilibration melt for 10ps at 1800 K

Image file

This asset shows two plots for a CuNi crystal after a 10 picosecond melt equilibration at 1800 K. The left plot is the total radial distribution function (RDF) versus distance, with a strong first peak near 2 Å and several smaller peaks up to about 8–9 Å, suggesting some remaining order from the original lattice. The right plot shows the coordination number (CN) as a function of distance, which increases gradually and reaches around 350 by 10 Å. The note indicates that even at about 9 Å away, there is still a signal of another atom, meaning remnants of the supercell lattice persist in the melted state.

30d

Figure 1 from "Orb-v3" paper

Image file

The Pareto frontier for a range of universal Machine Learning Interatomic Potentials. The 𝐾𝑆𝑅𝑀𝐸 metric assesses a model’s ability to predict thermal conductivity via the Wigner formulation of heat transport and requires accurate geometry optimizations as well as second and third order derivatives of the PES (computed via finite differences). The y-axis measure a model’s forward passes per second on a dense periodic system of 1000 atoms, disregarding graph construction time, measured on a NVIDIA H200. Point sizes represent max GPU memory usage. Y-axis jitter (+/- 5 steps/second) has been applied to allow visualization of overlapping points. Model families include a range of specific models with broadly the same architecture, but may be different sizes or trained on different datasets.

1mo

Orb-v3 paper

PDF file

The authors introduce Orb-v3, the next generation of the Orb family of universal interatomic potentials. Models in this family expand the performance-speed-memory Pareto frontier, offering near SoTA performance across a range of evaluations with a ≥ 10× reduction in latency and ≥ 8× reduction in memory. Their experiments systematically traverse this frontier, charting the trade-off induced by roto-equivariance, conservatism and graph sparsity. Contrary to recent literature, they find that non-equivariant, non-conservative architectures can accurately model physical properties, including those which require higher-order derivatives of the potential energy surface.

1mo

The Bitter Lesson

PDF file

Paper by Rich Sutton

1mo

LLMatDesign: Autonomous Materials Discovery with Large Language Models

PDF file

Discovering new materials can have significant scientific and technological implications but remains a challenging problem today due to the enormity of the chemical space. Recent advances in machine learning have enabled data-driven methods to rapidly screen or generate promising materials, but these methods still depend heavily on very large quantities of training data and often lack the flexibility and chemical understanding often desired in materials discovery. This paper introduces LLMatDesign, a novel language-based framework for interpretable materials design powered by large language models (LLMs).

2mo

CrFe7 phase diagram

.html file

Phase diagram of CrFe7; e_above_hull: 0.000000 eV/atom; predicted_stable: True

2mo

tree-gen-2-v12.cif - relaxed - phonon dispersion

Image file

A phonon dispersion plot for a relaxed structure using a 2x2x2 supercell. The red lines show multiple phonon branches across high-symmetry paths labeled Gamma, X, Y, ZR2, U2, and V2. Frequencies range up to about 9 THz, with several bands crossing and bending as they move along the path. A blue dotted line marks zero frequency, and the data indicate no imaginary modes, though the lowest branch dips slightly below zero by about 0.07 THz. This image summarizes how vibrational modes vary with wavevector for the relaxed structure.

2mo

tree-gen-2-v12.cif - relaxed

.cif file

Cell + Ionic relaxation with Orb v3; 0.03 eV/Å threshold; final energy = -137.4990 eV; energy change = -0.2603 eV; symmetry: R3m → Im-3m

2mo

mutation_trajectory_1758307550.traj – MatterViz trajectory viewer

.html file

Standalone, embeddable HTML with MatterViz Trajectory viewer

2mo

Fe8Co4N phase diagram 2

.html file

Phase diagram of Fe8Co4N; e_above_hull: 0.093154 eV/atom; predicted_stable: False

2mo

Fe8Co4N SG #4 - phonon dispersion

Image file

Phonon band structure (supercell [2, 2, 2], Δ=0.01 Å); no imaginary modes; min freq = -0.02 THz

2mo
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