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Illuminating ‘the ugly side of science’: fresh incentives for reporting negative results

May 13, 2025

Nature

New data repositories and alternative journals and workshops offer routes for sharing negative results — which could help to solve the reproducibility crisis and give machine learning a boost.

For details

https://doi.org/10.1038/d41586-024-01389-7

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Read more about High-throughput solid microsampling through stochastic robotic automation
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Jul
14

High-throughput solid microsampling through stochastic robotic automation

Solid sampling at the sub-milligram and milligram scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.

Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses. 

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