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· Past edition · 11 stories
Retrospective edition reconstructed from later captures. Paper versions may include later updates; coverage labels describe the evidence used.
Research & academia
Skala-1.1 pairs improved DFT accuracy with a route into widely used chemistry software and a living benchmark for tracking performance.
Why it matters: The practical case for Skala depends on both accuracy and fit with existing workflows: CP2K is available now, other integrations are in progress, and the planned ongoing benchmark gives developers a way to compare performance as implementations improve.
Research & academia
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The authors transfer learning-rate choices across model widths and token budgets, then evaluate the recipe in a large mixture-of-experts pretraining run.
Why it matters: Proxy models may reduce the cost of tuning large training runs.