Thermally activated delayed fluorescence(TADF)materials,which are constructed through intermolecular donoracceptor systems,have attracted widespread attention due to their numerous advantages,such as avoiding complica...Thermally activated delayed fluorescence(TADF)materials,which are constructed through intermolecular donoracceptor systems,have attracted widespread attention due to their numerous advantages,such as avoiding complicated synthesis and achieving a small singlet-triplet energy gap[1].展开更多
Modern data-centric applications,such as artifical artificial intelligence(AI)workloads,graph data analysis,IoT and mobile systems,have emerged and been widely used in our daily life.These applications keep raising th...Modern data-centric applications,such as artifical artificial intelligence(AI)workloads,graph data analysis,IoT and mobile systems,have emerged and been widely used in our daily life.These applications keep raising the requirements of large capacity,high performance,low power consumption,and high reliability for the whole memory hierarchy,which may be difficult to be satisfied by traditional memory architectures and systems.On the other hand,with the rapid advancement of memory technologies,various emerging memory technologies have been proposed to mitigate the problems mentioned above.These emerging memory technologies have the advantages of high density,low standy power,etc.However,they also face the challenges of programming overhead,limited lifetime,and reliablility issues.Thus,to leverage the uniques features and handle the limitations of these emerging memory technologies,we are expecting innovations in memory architecture and system designs.展开更多
文摘Thermally activated delayed fluorescence(TADF)materials,which are constructed through intermolecular donoracceptor systems,have attracted widespread attention due to their numerous advantages,such as avoiding complicated synthesis and achieving a small singlet-triplet energy gap[1].
文摘Modern data-centric applications,such as artifical artificial intelligence(AI)workloads,graph data analysis,IoT and mobile systems,have emerged and been widely used in our daily life.These applications keep raising the requirements of large capacity,high performance,low power consumption,and high reliability for the whole memory hierarchy,which may be difficult to be satisfied by traditional memory architectures and systems.On the other hand,with the rapid advancement of memory technologies,various emerging memory technologies have been proposed to mitigate the problems mentioned above.These emerging memory technologies have the advantages of high density,low standy power,etc.However,they also face the challenges of programming overhead,limited lifetime,and reliablility issues.Thus,to leverage the uniques features and handle the limitations of these emerging memory technologies,we are expecting innovations in memory architecture and system designs.
