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#14
knc6
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Commits on Jul 9, 2026
Fix: pass three_body_cutoff to test-set graph build (data.py) and FF calculator inference (ff/calculators.py)
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Commits on Jul 10, 2026
Fix: always tile per-structure stress/extra_features across nodes (fixes 'got 2 and 3' crash on 3-atom cells, e.g. MATPES stress training)
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Commits on Jul 13, 2026
Make examples, tests, README use pure-PyTorch path (no DGL required)
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Commits on Jul 20, 2026
Fix three DDP/LMDB bugs in multi-GPU training path
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Commits on Jul 21, 2026
Add resumable checkpoints for walltime-limited training
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Commits on Jul 22, 2026
Support multi-node DDP training
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Commits on Jul 30, 2026
README: consolidate training examples into one page with collapsible per-model recipes
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README: inline collapsible Performances (full benchmark table), References, Notes; point JARVIS-Leaderboard to atomgptlab.github.io
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Bump version to 2026.7.26; drop redundant docs/index.md intro link from README
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Commits on Aug 3, 2026
ALIGNN 2.0: url-based pretrained2 registry; set matpes_smooth (2/2/128 smooth-cutoff, MATPES ep100) as default ALIGNN-FF
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Commits on Aug 6, 2026
unified_calculator: pure-torch property predictors via pretrained2
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Add unified_calculator pytest + fix pretrained property docs
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Bump version to 2026.8.6 (pure-torch unified calculator: FF + scalar/spectra/tensor property predictors)
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train_dgl: tolerate configs without FF loss-weight fields
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Fix CI lint + default_path for LAMMPS/TorchScript export scripts
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