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2023 Materials Today Rising Star Award Winners Announced

2023 Materials Today Rising Star Award Winners Announced
materialstoday.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from materialstoday.com Daily Mail and Mail on Sunday newspapers.

Zheng yanAnn arborUnited statesCalifornia institute of technologyRice universityRising starUnited kingdomGerbrand cederCarlos ufscarMichael salibaCaiog otoniYuanyue liuNextgen precision health instituteTexas materials instituteResearch centerDepartment bioproducts

Revolutionary self-sensing electric artificial muscles

Revolutionary self-sensing electric artificial muscles
sciencedaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencedaily.com Daily Mail and Mail on Sunday newspapers.

Queen maryKetao zhangIntelligent systemsSchool of engineeringQueen mary university of londonAdvanced intelligent systemsQueen mary universityMaterials science

2023 Materials Today Rising Star Award Winners Announced

United statesRising starZheng yanAnn arborCalifornia institute of technologyUnited kingdomRice universityCarlos ufscarMichael salibaGerbrand cederYuanyue liuCaiog otoniEnergy conversion storageStuttgart universityUnited states department of agricultureMaterials department

Redox-Based Transistor as a Reservoir System for Neuromorphic Computing

Redox-Based Transistor as a Reservoir System for Neuromorphic Computing
tus.ac.jp - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from tus.ac.jp Daily Mail and Mail on Sunday newspapers.

Japan generalDaiki nishiokaTohru higuchiTakashi tsuchiyaTomoki wadaKazuya terabeTokyo university of scienceYazaki memorial foundation for scienceNational institute for materials scienceIntelligent systemsInternational symposium on advanced material researchScientific research on innovative areas interface ionicsJapan society for the promotion of scienceAdvanced intelligent systemsAssociate professor tohru higuchiTokyo university

Redox-Based Transistor as a Reservoir System for Neuromorphic Computing

Physical systems known as “reservoirs” are designed to emulate neural networks and meet the need for improved computational efficiency and speed. Overcoming the previous issues with compatibility, performance, and integration of such reservoir systems, researchers from Japan have recently developed an ion-gating transistor with improved reservoir states and short-term memory capabilities based on redox reactions.…

Takashi tsuchiyaKazuya terabeTomoki wadaDaiki nishiokaTokyo university of scienceNational institute for materials scienceIntelligent systemsRedox based transistorReservoir systemAdvanced intelligent systemsAssociate professor tohru higuchiTokyo universityNational instituteMaterials scienceRedox based ion gating reservoirGate nonlinear