Modeling heterogeneous melting in phase change memory devices

Projected phase-change memory devices

Nanoscale memory devices, whose resistance depends on the history of the electric signals applied, could become critical building blocks in new computing paradigms, such as brain-inspired computing and memcomputing. However, there are key challenges to overcome, such as the high programming power required, noise and resistance drift. Here, to address these, we present the concept of a projected...

Heterogeneous nanometer-scale Joule and Peltier effects in sub-25 nm thin phase change memory devices

phase change memory devices Kyle L. Grosse, Eric Pop, and William P. King Deptartment of Mechanical Science & Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA Department of Materials Science and Engineering and Materials Research Laboratory, University of Illinois at Ur...

Thermal Properties of Nanostructured Electrodes for Phase Change Memory Devices

Modeling of SET seasoning effects in Phase Change Memory arrays

The experimental analysis of the electrical behavior of Phase Change Memory arrays evidenced a seasoning effect both on SET and RESET state. The previous modeling efforts on this issue were addressed only towards RESET operation. This work presents a SET seasoning model implemented within a numerical simulator starting from the extraction of the characteristic erase operation kinetic parameters...

modeling loss data by phase-type distribution

بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...