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AI Helps Forge World's Mightiest Iron Superconductor at KCL

Three times stronger than current iron-based superconducting magnets, this development could make MRI machines smaller and cheaper than ever ....

City Of , United Kingdom , Mark Ainslie , Tokyo University Of Agriculture , King Department Of Engineering , Kyushu University , National Institute For Materials Science , Technology Agency , King College London , College London , Tokyo University , Japan Science , National Institute , Materials Science ,

Understanding the atomic density fluctuations

Understanding the atomic density fluctuations
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Japan General , Yohei Onodera , Motoki Shiga , Asia Materialson , Monte Carlo , Shuya Sato , Koji Kimoto , Shinji Kohara , Akihiko Hirata , United Nations , Tohoku University , Institute For Integrated Radiation , Wpi Advanced Institute For Materials Research , School Of Information Science , Institute For Materials Research , Method Of Research , Department Of Materials Science , Mathematics For Advanced Materials Open Innovation Laboratory , Ministry Of Education , Waseda University , Kagami Memorial Research Institute For Materials Science , Research On Materials , Nuclear Science , National Institute Of Materials Science , Sustainable Development Goals Sdgs , National Institute For Materials Science ,

Nagoya University Develops Cost-Effective Microplastic Monitoring Using Porous Materials and Machine Learning

Nagoya University Develops Cost-Effective Microplastic Monitoring Using Porous Materials and Machine Learning
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Joel Henzie , Olga Guselnikova , Yusuke Yamauchi , National Institute For Materials Science , National Institute For Materials Sciences , Nature Communications , Nagoya University , National Institute , Materials Sciences , Materials Science , Professor Yusuke Yamauchi ,

Inexpensive Microplastic Monitoring Through Porous Materials And Machine Learning

Optical analysis and machine learning techniques can now readily detect microplastics in marine and freshwater environments using inexpensive porous. ....

Joel Henzie , Olga Guselnikova , Yusuke Yamauchi , National Institute For Materials Sciences , Nature Communications On , Nature Communications , National Institute For Materials Science , Nagoya University , National Institute , Materials Sciences , Materials Science , Professor Yusuke Yamauchi ,

Inexpensive microplastic monitoring through porous materials and machine learning

Optical analysis and machine learning techniques can now readily detect microplastics in marine and freshwater environments using inexpensive porous metal substrates. ....

Yusuke Yamauchi , Olga Guselnikova , Joel Henzie , Nagoya University , National Institute For Materials Science , National Institute , Materials Science , Professor Yusuke Yamauchi ,