Study of Trap Models Related to the Variable Retention Time Phenomenon in DRAM

2011 ◽  
Vol 58 (6) ◽  
pp. 1643-1648 ◽  
Author(s):  
Heesang Kim ◽  
Byoungchan Oh ◽  
Younghwan Son ◽  
Kyungdo Kim ◽  
Seon-Yong Cha ◽  
...  
Keyword(s):  
Retention Time ◽  
Variable Retention

AVERT: An elaborate model for simulating variable retention time in DRAMs

2015 ◽  
Vol 55 (9-10) ◽  
pp. 1313-1319 ◽  
Author(s):  
Dae-Hyun Kim ◽  
Soonyoung Cha ◽  
Linda S. Milor
Keyword(s):  
Retention Time ◽  
Variable Retention

Trap-Assisted Passing Word Line Leakage and Variable Retention Time in DRAM

2021 ◽  
Author(s):  
Yumeng Sun ◽  
Xiang Liu ◽  
Noakim Wang ◽  
Jongsung Jeon ◽  
Blacksmith Wu ◽  
...  
Keyword(s):  
Retention Time ◽  
Variable Retention

scholarly journals Radiation-Induced Variable Retention Time in Dynamic Random Access Memories

2020 ◽  
Vol 67 (1) ◽  
pp. 234-244
Author(s):  
Vincent Goiffon ◽  
Antoine Jay ◽  
Philippe Paillet ◽  
Teddy Bilba ◽  
Theo Deladerriere ◽  
...  
Keyword(s):  
Retention Time ◽  
Random Access ◽  
Variable Retention ◽  
Radiation Induced

Characterization of the Variable Retention Time in Dynamic Random Access Memory

2011 ◽  
Vol 58 (9) ◽  
pp. 2952-2958 ◽  
Author(s):  
Heesang Kim ◽  
Byoungchan Oh ◽  
Younghwan Son ◽  
Kyungdo Kim ◽  
Seon-Yong Cha ◽  
...  
Keyword(s):  
Retention Time ◽  
Random Access ◽  
Random Access Memory ◽  
Dynamic Random Access Memory ◽  
Access Memory ◽  
Variable Retention

scholarly journals A high content lipidomics method using scheduled MRM with variable retention time window and relative dwell time weightage

2021 ◽  
Author(s):  
Akash Kumar Bhaskar ◽  
Salwa Naushin ◽  
Arjun Ray ◽  
Shalini Pradhan ◽  
Khushboo Adlakha ◽  
...  
Keyword(s):  
Retention Time ◽  
Dwell Time ◽  
Time Window ◽  
Limit Of Detection ◽  
Lipid Classes ◽  
Structural Isomers ◽  
Variable Retention ◽  
Lipid Species ◽  
Limit Of Quantitation ◽  
Wide Range

Lipids are highly diverse group of biomolecules that play a pivotal role in biological processes. Lipid compositions of bio-fluids are complex, reflecting a wide range of concentration of different lipid classes with structural diversity within lipid species. Varying degrees of chemical complexity makes their identification and quantification challenging. Newer methods are thus, highly desired for comprehensive analysis of lipid species including identification of structural isomers. Herein, we propose a targeted-MRM method for large scale high-throughput lipidomics analysis using a combination of variable retention time window (variable-RTW) and relative dwell time weightage (relative-DTW) for different lipid species. With this method, we were able to detect more than 1000 lipid species (encompassing 18 lipid classes), including different structural isomers of triglyceride, diglyceride, and phospholipids, in a single-run of 24 minutes. The limit of detection varied between 0.245 pmol/L and 1 nmol/L for different lipid classes with 245 fmol/L being lowest for phosphatidylethanolamine while it was highest for diacylglycerol (1 nmol/L). Similarly, the limit of quantitation varied from 291 fmol/L to 2 nmol/L. The recovery of the method is in the acceptable range and the 849 of lipid species were found to have a coefficient of variance (CV) <30%. Using this method we demonstrate that lipids with ω-3 and ω-6 fatty acid chains are altered in individuals with vitamin B12 deficiency.

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