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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 Craig , Hao Li , Tohoku University , Nature Communications , Researchers At Tohoku University , Shanghai Jiao Tong University , Institute For Materials Research , Monte Carlo , Junior Principal Investigator , Advanced Institute , Materials Research , Active Machine Learning Model , Dynamic Simulation , Growth 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 States , Gabriele Raino , Maksym Kovalenko , Megan Craig , Kovalenko Lab , Nobel Prize , Senior Researcher , Coating Made , Brighter Thanks , Active Machine Learning Model , Dynamic Simulation , Growth Mechanisms ,

Machine Learning Guides Carbon Nanotechnology

Machine Learning Guides Carbon Nanotechnology
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Di Zhang , Linfa Peng , Peiyun Yi , Hao Li , Xinmin Lai , China Shanghai Jiao Tong University , Japan Tohoku University , Tohoku University , Nature Communications , Shanghai Jiao Tong University , Monte Carlo , Active Machine Learning Model , Dynamic Simulation , Growth Mechanisms ,