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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 ofUnited kingdomMark ainslieTokyo university of agricultureKing department of engineeringKyushu universityNational institute for materials scienceTechnology agencyKing college londonCollege londonTokyo universityJapan scienceNational instituteMaterials science

Understanding the atomic density fluctuations

Understanding the atomic density fluctuations
eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.

Japan generalYohei onoderaMotoki shigaAsia materialsonMonte carloShuya satoKoji kimotoShinji koharaAkihiko hirataUnited nationsTohoku universityInstitute for integrated radiationWpi advanced institute for materials researchSchool of information scienceInstitute for materials researchMethod of research

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 henzieOlga guselnikovaYusuke yamauchiNational institute for materials scienceNational institute for materials sciencesNature communicationsNagoya universityNational instituteMaterials sciencesMaterials scienceProfessor 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 henzieOlga guselnikovaYusuke yamauchiNational institute for materials sciencesNature communications onNature communicationsNational institute for materials scienceNagoya universityNational instituteMaterials sciencesMaterials scienceProfessor 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 yamauchiOlga guselnikovaJoel henzieNagoya universityNational institute for materials scienceNational instituteMaterials scienceProfessor yusuke yamauchi