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Machine Learning Makes Carbon Nanomaterial Synthesis Easier

Carbon nanostructures could get easier to design and fabricate owing to a machine-learning algorithm that predicts their growth on metal surfaces.

Megan craigHao liTohoku universityNature communicationsResearchers at tohoku universityShanghai jiao tong universityInstitute for materials researchMonte carloJunior principal investigatorAdvanced instituteMaterials researchActive machine learning modelDynamic simulationGrowth mechanisms

Researchers Increase Brightness of Quantum Dots

Researchers at ETH Zurich and Empa have created techniques to create emitters from perovskite quantum dots that are quicker and more effective, which will significantly boost their brightness. Both quantum technology and display applications can benefit from this.

United statesGabriele rainoMaksym kovalenkoMegan craigKovalenko labNobel prizeSenior researcherCoating madeBrighter thanksActive machine learning modelDynamic simulationGrowth mechanisms

Machine Learning Guides Carbon Nanotechnology

Machine Learning Guides Carbon Nanotechnology
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Di zhangLinfa pengPeiyun yiHao liXinmin laiChina shanghai jiao tong universityJapan tohoku universityTohoku universityNature communicationsShanghai jiao tong universityMonte carloActive machine learning modelDynamic simulationGrowth mechanisms