Machine-learning potential for silver sulfide: From CHGNet pretraining to DFT-refined phase stability

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"The work-life balance was at the heart of it," adds de Wit, who disagrees with the suggestion that their staff are now doing less work for the same amount of money. Instead he puts it down to "working smarter not harder".