Hot Carrier Degradation in Semiconductor Devices 2014
DOI: 10.1007/978-3-319-08994-2_14
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Hot-Carrier Injection Degradation in Advanced CMOS Nodes: A Bottom-Up Approach to Circuit and System Reliability

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Cited by 5 publications
(3 citation statements)
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“…The 3dimensional density of state is proportional to the energy, the energy distribution of electrons at room temperature (300K) is plotted in Fig. 6a, which shows that majority of the electrons are at low energy in meV range, whereas the center energy of even the lowest energy of the trap is in order of several kT (∼ 0.026eV ) [44]. This means that only a small fraction of electrons at the tail of the distribution could participate in the de-trapping process.…”
Section: Frequency Dependence Of Wearout and Recoverymentioning
confidence: 99%
“…The 3dimensional density of state is proportional to the energy, the energy distribution of electrons at room temperature (300K) is plotted in Fig. 6a, which shows that majority of the electrons are at low energy in meV range, whereas the center energy of even the lowest energy of the trap is in order of several kT (∼ 0.026eV ) [44]. This means that only a small fraction of electrons at the tail of the distribution could participate in the de-trapping process.…”
Section: Frequency Dependence Of Wearout and Recoverymentioning
confidence: 99%
“…Defect energies are discussed in the chapter of Aichinger [11], with the subsequent temperature accelerated recovery in the chapter of Pobegen [12]. The chapters of Huard [6], Scholten [13], and Schlünder [14] discuss bridging the gap between device and circuit models. Hot carrier damage in various device types (LDMOS, FinFET, SiGe BJTs, and SiGe channel PFETs) is discussed in the chapters of Reggiani [15], Alagi [16], Cho [17], Chakraborty [18], and Franco [19].…”
Section: Introductionmentioning
confidence: 99%
“…This book addresses in detail the various aspects necessary in a first principles model and the steps that various groups have taken to use such models in real life circuit lifetime prediction. The chapters of Bravaix [5], Huard [6], and Tyaginov [7] attempt to provide predictive models from the underlying physics. Some characteristics of hot electron distributions and how to approximate them are described in the chapters of Rauch [8], Bina [9], Zaka [10], and Tyaginov [7].…”
Section: Introductionmentioning
confidence: 99%