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Charge discreteness and the energy efficiency of information erasure in dynamic random-access memory cells

2026-07-31 · arXiv: 2607.29015

One-line summary

A solar energy research paper on Charge discreteness and the energy efficiency of information erasure in dynamic random-access memory cells.

Engineering notes

Engineering notes will be added by the Power for Solar editorial team.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。

Original abstract

A dynamic random-access memory (DRAM) cell stores information as an integer number of electrons on a capacitor, and whether this discreteness is thermodynamically relevant depends on the competition between the charging energy and thermal fluctuations. This competition is quantified by the ratio $κ$ of the single-electron charging energy to the thermal energy, and here we investigate how $κ$ affects the energy efficiency of information erasure in a DRAM cell. Using a stochastic-thermodynamic model of a DRAM cell, we show that the nonquasistatic heat released during the discharge step is suppressed as $κ$ increases, whereas the quasistatic heat of the charge step approaches the Landauer cost. As a result, the energy efficiency increases monotonically with $κ$ and approaches the Landauer limit where the effect of charge discreteness is maximal and the cell is effectively reduced to two charge states. The parameter $κ$ thus connects two thermodynamic regimes: a multilevel single-well memory, whose nonequilibrium initial state prevents quasistatic erasure, and an effective two-level memory that can attain the Landauer limit. These results identify $κ$ as the parameter that controls the fundamental efficiency ceiling of transistor--capacitor memory circuits.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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