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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.

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

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

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

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

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

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

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.

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.

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.

Paper by Rich Sutton

Phase diagram of Mn8Al8C; e_above_hull: 0.315834 eV/atom; predicted_stable: False

Cell + Ionic relaxation with Orb v3; 0.03 eV/Å threshold; final energy = -111.2538 eV; energy change = -38.8208 eV; symmetry: P4/m → P1

Crystal structure generated by GEPA optimization (iteration 2)

Phase diagram of Mn8Al8C; e_above_hull: 1.072304 eV/atom; predicted_stable: False

Cell + Ionic relaxation with Orb v3; 0.03 eV/Å threshold; final energy = -85.6817 eV; energy change = -99.9416 eV; symmetry: P4/mmm → P1

Crystal structure generated by GEPA optimization (iteration 1)

Cell + Ionic relaxation with Orb v3; 0.03 eV/Å threshold; final energy = -7.2183 eV; energy change = 2.4552 eV; symmetry: P4/mmm → P4/mmm