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Orb-v3: atomistic simulation at scale

About

We 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 >10x reduction in latency and > 8x reduction in memory. Our experiments systematically traverse this frontier, charting the trade-off induced by roto-equivariance, conservatism and graph sparsity. Contrary to recent literature, we find that non-equivariant, non-conservative architectures can accurately model physical properties, including those which require higher-order derivatives of the potential energy surface. This model release is guided by the principle that the most valuable foundation models for atomic simulation will excel on all fronts: accuracy, latency and system size scalability. The reward for doing so is a new era of computational chemistry driven by high-throughput and mesoscale all-atom simulations.

Benjamin Rhodes, Sander Vandenhaute, Vaidotas \v{S}imkus, James Gin, Jonathan Godwin, Tim Duignan, Mark Neumann• 2025

Related benchmarks

TaskDatasetResultRank
Energy barrier predictionAcetylene hydrogenation on Pd(111) and PdAg surfaces 1.0 (test)--
32
Stability predictionMatbench-Discovery unique structure prototypes
F1 Score0.905
26
Simulation Speed EstimationStandard periodic atomic system ≈ 50 neighbors per atom, 6Å cutoff
Steps per Second77
23
Atomic distance predictionAg(111) surface adsorption
Main Chain Carbon Distance (Å)3.38
10
Material DiscoveryMatbench-Discovery non-compliant full (test)
F1 Score88.7
10
Material DiscoveryMatbench-Discovery 10k most stable
F1 Score96.4
10
Materials Stability PredictionMatbench-Discovery
F1 Score90.5
8
Energy barrier predictionPdAg surfaces
MAE0.11
7
Energy PredictionWiggle150 LAMBench
MAE (kcal/mol)11.9
4
Reaction Property PredictionOC20 NEB LAMBench
MAE Activation Energy (eV)2.3
4
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