Study of the effects of deuterium implantation upon the performance of thin-oxide CMOS devices

The use of ultra thin oxide films in modem semiconductor devices makes them increasingly susceptible to damage due to the hot carrier damage. Deuterium in place of hydrogen was introduced by ion implantation at the silicon oxide-silicon interface during fabrication to satisfy the dangling bonds. Deuterium was implanted at energies of 15, 25 and 35 keV and at a dose of 1x1014/cm2. Some of the wafers were subjected to N2O annealing following gate oxide growth. It was demonstrated that ion implantation is an effective means of introduction of deuterium. Deuterium implantation brings about a clear enhancement in gate oxide quality by improving the interface characteristics. N2O annealing further improves device performance. A reduction of electron traps with deutenum was also observed. A combination of deuterium implantation at 25 keV and a dose of 1x1015/cm2, followed by annealing in N2O was observed to have the most positive influence on device behavior. Concurrently, MEMS microheaters being fabricated for an integrated VOC sensor were also tested for their temperature response to an applied voltage. Different channel configurations and materials for the conducting film were compared and the best pattern for rapid heating was identified. Temperature rises of upto 390° C were obtained. The temperature responses after coating spin-on glass in the microchannels were also measured

Process development and reliability of thin gate oxides

The Semiconductor Industry Association\u27s (SIA) current National Technological Roadmap calls for the development of a suitable dielectric material for use in gate oxide for the 0.18|micrometers generation of chips and beyond. Some of the key challenges identified are resistance to oxide trapped charge generation from higher levels of tunneling currents and/or plasma processing, and formation of an effective barrier to dopant penetration during the gate processing. One promising material to meet these challenges is nitrided thermal oxide. Development of a growth process that yields high quality, lOnm thick, thermally grown Si02 films at RJT for use as a gate dielectric is described. Thin oxides (8nm - 20nm) were grown by thermal oxidation followed by inert anneals in Ar and N2. Nitrided oxides were created by implanting N2 (dose range: 5el3 - lei 5 /cm2) into the substrate prior to gate oxidation. Test equipment was setup to study Fowler Nordheim (FN) tunneling and dielectric breakdown. Test structures consisted of conventional and novel MOS capacitor structures with aluminum and poly-silicon gate electrodes. Scaling RJT\u27s existing, 20nm oxidation process to lOnm resulted in degradation of dielectric strength from \u3e lOMV/cm to ~6-7MV/cm for Al-gate MOS capacitors. Replacing the Al gate material with poly-silicon restored the dielectric strength to lOMV/cm. Performing an N2 implant through a screening oxide, prior to gate oxidation, was investigated as a means of obtaining a nitrided thermal oxide. For certain doses (5el3 - 5el4 /cm2), Al-gate MOS capacitors exhibited an improved dielectric strength as the mean value increased from 6- 7MV/cm to ~9MV/cm. Poly-Si gate MOS capacitors showed a similar improvement for the nitrided oxides, exhibiting mean dielectric strength values in the 10-12MV/cm range. Fowler- Nordheim (FN) tunnel current measurements showed that the nitrided films exhibit lower leakage levels and less charge trapping than their thermal Si02 counterparts. Results indicate that a 12nm nitrided oxide, for a certain dose (5el4/cm2), exhibited equivalent electrical performance to a 20nm thermally grown Si02 oxide. In conclusion, a process was developed for yielding reliable thin gate oxides (~10nm) in a university fab

Yield and Reliability Analysis for Nanoelectronics

As technology has continued to advance and more break-through emerge, semiconductor devices with dimensions in nanometers have entered into all spheres of our lives. Accordingly, high reliability and high yield are very much a central concern to guarantee the advancement and utilization of nanoelectronic products. However, there appear to be some major challenges related to nanoelectronics in regard to the field of reliability: identification of the failure mechanisms, enhancement of the low yields of nano products, and management of the scarcity and secrecy of available data [34]. Therefore, this dissertation investigates four issues related to the yield and reliability of nanoelectronics. Yield and reliability of nanoelectronics are affected by defects generated in the manufacturing processes. An automatic method using model-based clustering has been developed to detect the defect clusters and identify their patterns where the distribution of the clustered defects is modeled by a new mixture distribution of multivariate normal distributions and principal curves. The new mixture model is capable of modeling defect clusters with amorphous, curvilinear, and linear patterns. We evaluate the proposed method using both simulated and experimental data and promising results have been obtained. Yield is one of the most important performance indexes for measuring the success of nano fabrication and manufacturing. Accurate yield estimation and prediction is essential for evaluating productivity and estimating production cost. This research studies advanced yield modeling approaches which consider the spatial variations of defects or defect counts. Results from real wafer map data show that the new yield models provide significant improvement in yield estimation compared to the traditional Poisson model and negative binomial model. The ultra-thin SiO2 is a major factor limiting the scaling of semiconductor devices. High-k gate dielectric materials such as HfO2 will replace SiO2 in future generations of MOS devices. This study investigates the two-step breakdown mechanisms and breakdown sequences of double-layered high-k gate stacks by monitoring the relaxation of the dielectric films. The hazard rate is a widely used metric for measuring the reliability of electronic products. This dissertation studies the hazard rate function of gate dielectrics breakdown. A physically feasible failure time distribution is used to model the time-to-breakdown data and a Bayesian approach is adopted in the statistical analysis

Reliability Analysis of Hafnium Oxide Dielectric Based Nanoelectronics

With the physical dimensions ever scaling down, the increasing level of sophistication in nano-electronics requires a comprehensive and multidisciplinary reliability investigation. A kind of nano-devices, HfO2-based high-k dielectric films, are studied in the statistical aspect of reliability as well as electrical and physical aspects of reliability characterization, including charge trapping and degradation mechanisms, breakdown modes and bathtub failure rate estimation. This research characterizes charge trapping and investigates degradation mechanisms in high-k dielectrics. Positive charges trapped in both bulk and interface contribute to the interface state generation and flat band voltage shift when electrons are injected from the gate under a negative gate bias condition.A negligible number of defects are generated until the stress voltage increases to a certain level. As results of hot electrons and positive charges trapped in the interface region, the difference in the breakdown sequence is attributed to the physical thickness of the bulk high-k layer and the structure of the interface layer. Time-to-breakdown data collected in the accelerated life tests are modeled with a bathtub failure rate curve by a 3-step Bayesian approach. Rather than individually considering each stress level in accelerating life tests (ALT), this approach derives the change point and the priors for Bayesian analysis from the time-to-failure data under neighborhood stresses, based on the relationship between the lifetime and stress voltage. This method can provide a fast and reliable estimation of failure rate for burn-in optimization when only a small sample of data is available

Reliability characterization and prediction of high k dielectric thin film

As technologies continue advancing, semiconductor devices with dimensions in nanometers have entered all spheres of human life. This research deals with both the statistical aspect of reliability and some electrical aspect of reliability characterization. As an example of nano devices, TaOx-based high k dielectric thin films are studied on the failure mode identification, accelerated life testing, lifetime projection, and failure rate estimation. Experiment and analysis on dielectric relaxation and transient current show that the relaxation current of high k dielectrics is distinctive to the trapping/detrapping current of SiO2; high k films have a lower leakage current but a higher relaxation current than SiO2. Based on the connection between polarization-relaxation and film integrity demonstrated in ramped voltage stress tests, a new method of breakdown detection is proposed. It monitors relaxation during the test, and uses the disappearing of relaxation current as the signal of a breakdown event. This research develops a Bayesian approach which is suitable to reliability estimation and prediction of current and future generations of nano devices. It combines the Weibull lifetime distribution with the empirical acceleration relationship, and put the model parameters into a hierarchical Bayesian structure. The value of the Bayesian approach lies in that it can fully utilize available information in modeling uncertainty and provide cogent prediction with limited resources in a reasonable period of time. Markov chain Monte Carlo simulation is used for posterior inference of the reliability projection and for sensitivity analysis over a variety of vague priors. Time-to-breakdown data collected in the accelerated life tests also are modeled with a bathtub failure rate curve. The decreasing failure rate is estimated with a non-parametric Bayesian approach, and the constant failure rate is estimated with a regular parametric Bayesian approach. This method can provide a fast and reliable estimation of failure rate for burn-in optimization when only a small sample of data is available

Transient Safe Operating Area (tsoa) For Esd Applications

A methodology to obtain design guidelines for gate oxide input pin protection and high voltage output pin protection in Electrostatic Discharge (ESD) time frame is developed through measurements and Technology Computer Aided Design (TCAD). A set of parameters based on transient measurements are used to define Transient Safe Operating Area (TSOA). The parameters are then used to assess effectiveness of protection devices for output and input pins. The methodology for input pins includes establishing ESD design targets under Charged Device Model (CDM) type stress in low voltage MOS inputs. The methodology for output pins includes defining ESD design targets under Human Metal Model (HMM) type stress in high voltage Laterally Diffused MOS (LDMOS) outputs. First, the assessment of standalone LDMOS robustness is performed, followed by establishment of protection design guidelines. Secondly, standalone clamp HMM robustness is evaluated and a prediction methodology for HMM type stress is developed based on standardized testing. Finally, LDMOS and protection clamp parallel protection conditions are identifie

High-Density Solid-State Memory Devices and Technologies

This Special Issue aims to examine high-density solid-state memory devices and technologies from various standpoints in an attempt to foster their continuous success in the future. Considering that broadening of the range of applications will likely offer different types of solid-state memories their chance in the spotlight, the Special Issue is not focused on a specific storage solution but rather embraces all the most relevant solid-state memory devices and technologies currently on stage. Even the subjects dealt with in this Special Issue are widespread, ranging from process and design issues/innovations to the experimental and theoretical analysis of the operation and from the performance and reliability of memory devices and arrays to the exploitation of solid-state memories to pursue new computing paradigms