THREE-DIMENSIONAL INTEGRATION IN MICROELECTRONICS: MOTIVATION, PROCESSING, AND THERMOMECHANICAL MODELING

Three-dimensional integration (3D-I) of multiple layers of active devices into a single chip is opening up opportunities for disruptive microelectronic, optoelectronic, and microelectromechanical systems. Integrated circuit (IC) designers are driving 3D-I for new products, which in turn is providing opportunities in process technology and modeling. This article reviews the status of 3D-I and describes some research opportunities for both process engineers and modeling and simulation engineers. The opportunities discussed center around “stacking” and interconnecting multiple active and/or passive layers or strata of traditional planar designs into “hyperfunctional” 3-D systems. The focus is on electrical 3D-ICs, using BCB as the adhesive to bond wafers, and copper-based, through-silicon-vias or through-strata-vias (TSVs) for interconnection. However, much of the material applies to other approaches to 3D-I and other 3-D systems. Both recently established methods and advanced research efforts are discussed for process technology and thermomechanical modeling and simulation of Cu-based TSVs and BCB-based bonding.     

Comparison of Metals Leaching from CCA- and ACQ-Treated Wood in Simulated Construction and Demolition Debris Landfills

Pressure-treated wood is often disposed of in landfills in the United States, very frequently in construction and demolition (C&D) debris landfills. C&D debris landfills in many states are not equipped with liner systems to protect groundwater. With the voluntary withdrawal of chromated copper arsenate (CCA) treated wood for most residential applications in January 2004, copper-based wood preservatives, including alkaline copper quaternary (ACQ), are more widely used. To evaluate the impact of metal losses from ACQ-treated wood disposed in C&D debris landfills and compare to those of CCA-treated wood under similar conditions, leachates from three simulated C&D debris landfills (lysimeters) were collected and analyzed for over a period of one year. The wood component in one lysimeter (the control lysimeter) contained pallet wood; the second lysimeter contained CCA-treated wood, and the third contained ACQ-treated wood. Each lysimeter was buried in an active landfill for temperature control. Several batch leaching tests [including the standardized toxicity characteristic leaching procedure (TCLP) and the synthetic precipitation leaching procedure (SPLP)] were also conducted for comparison purposes. Although the two lysimeters containing treated wood had elevated copper concentrations within the waste matrix, the concentration in the leachate samples from these lysimeters was below detection for Cu (<4?μg/L) throughout the duration of the experiment, likely a result of precipitation as copper sulfide mineral in the reducing conditions of the simulated C&D landfills. As expected, the lysimeter containing CCA-treated wood showed elevated concentrations of arsenic and chromium, with maximum concentrations of 1.16 mg/L and 0.2 mg/L respectively. Greater amounts of boron (B) leached from ACQ-treated wood than CCA-treated wood or pallet wood debris. The results suggest that copper leaching will not be a major concern upon the disposal of ACQ-treated wood in C&D debris landfills. Arsenic leaching from CCA-treated wood remains a concern for unlined C&D debris landfills.     

Modeling dissolution and spreading of Bi–Sn alloy drops on a Bi substrate

A dissolutive wetting model is employed to study the dynamics of axisymmetric Bi–Sn alloy drops spreading on Bi. The liquid drop surface is assumed to be a spherical cap, while the isothermal model for solute transport with simplified hydrodynamics computes the evolution of the solid–liquid interface. Simulations are performed on a millimeter scale to model experiments. The evolution of the drop radius, the flow and solute concentration profiles near the triple junction, the contact line mobility relationship, the apparent contact angles and the shape of the dissolution boundary during spreading are investigated as functions of initial Sn concentration, model parameters and initial conditions. Good agreement is obtained when compared with the experiments for the cases where diffusion is the dominant transport mode. The shape of the solid–liquid interface is predicted better when the initial experimentally determined dissolution boundary is implemented as the starting point of the subsequent simulation.     

Re-evaluating split-fovea processing in word recognition: Effects of retinal eccentricity on hemispheric dominance.

Several studies have claimed that hemispheric asymmetries affect word recognition right up to the point of fixation because each fovea is split precisely at its vertical midline and information presented either side of this midline projects unilaterally to different, contralateral hemispheres. To investigate this claim, four-letter words were presented to the left or right of fixation, either close to fixation entirely in foveal vision (0.15, 0.25, and 0.35 degrees from fixation) or further from fixation entirely in extrafoveal vision (2.00, 2.10, and 2.20 degrees from fixation). Fixation location and stimulus presentation were controlled using an eye-tracker linked to a fixation-contingent display and performance was assessed using a forced-choice task to suppress confounding effects of guesswork. A left hemisphere advantage was observed for words presented in extrafoveal locations but no hemisphere advantage (left or right) was observed for words presented in any foveal location. These findings support the well-established view that words encountered outside foveal vision project to different, contralateral hemispheres but indicate that this division for word recognition occurs only outside the fovea and provide no support for the claim that a functional split in hemispheric processing exists at the point of fixation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Multi Criteria Analysis for bioenergy systems assessments

Sustainable bioenergy systems are, by definition, embedded in social, economic, and environmental contexts and depend on support of many stakeholders with different perspectives. The resulting complexity constitutes a major barrier to the implementation of bioenergy projects. The goal of this paper is to evaluate the potential of Multi Criteria Analysis (MCA) to facilitate the design and implementation of sustainable bioenergy projects. Four MCA tools (Super Decisions, DecideIT, Decision Lab, NAIADE) are reviewed for their suitability to assess sustainability of bioenergy systems with a special focus on multi-stakeholder inclusion. The MCA tools are applied using data from a multi-stakeholder bioenergy case study in Uganda. Although contributing to only a part of a comprehensive decision process, MCA can assist in overcoming implementation barriers by (i) structuring the problem, (ii) assisting in the identification of the least robust and/or most uncertain components in bioenergy systems and (iii) integrating stakeholders into the decision process. Applying the four MCA tools to a Ugandan case study resulted in a large variability in outcomes. However, social criteria were consistently identified by all tools as being decisive in making a bioelectricity project viable.     

A study on the conversion of trona to sodium bicarbonate

The deactivation model was used to explain kinetics underlying the conversion reaction of trona to NaHCO₃ (sodium bicarbonate). The model showed good agreement with the experimental data obtained from the conversion reaction of trona to NaHCO₃. It gave the value of 0.94 as an average correlation coefficient with the experimental data. However, at lower temperature, the model was in poor agreement with the data. This would be related to the structural variation of trona particles at the lower temperature. A trona particle is initially nonporous and then it begins to crack. This structural variation creates more surface area for the reaction with CO₂ and water vapor. However, at the lower temperature, the fissures on the surface of the particles are not fully developed during the beginning of the reaction. As a consequence, the level of the conversion of trona at the lower temperature is low during the beginning of the reaction and the time to approach the complete conversion is shorter as temperature increases. However, since the deactivation model does not include the term articulating the degree of the structural variation during the reaction, it does not fit well to the experimental data at the lower temperature. The deactivation rate constant, k_d is strongly temperature dependent and the change of the slope suggests the reaction mechanism changes as the reaction temperature increases.     

Quality of object relations and security of attachment as predictors of early therapeutic alliance.

Security of attachment and quality of object relations were measured as predictors of initial impressions of the therapeutic alliance as well as dropout. Fifty-five individual psychotherapy clients were administered the Revised Adult Attachment Scale and the Bell Object Relations and Reality Testing Inventory prior to their initial therapy session. Thirty of these participants completed the Working Alliance Inventory following their 1st, 2nd, and 3rd sessions. Security of attachment and quality of object relations were strongly related. Security of attachment and quality of object relations showed relations to early alliance that decreased over time. Attachment and object relations were not related to dropout. Limitations include small sample size and low research compliance rate. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Capitalizing on one's advantages: Role of core self-evaluations.

The authors examined (a) whether core self-evaluations in adolescence and young adulthood predict income at midlife and (b) whether people with positive core self-evaluations are more likely to capitalize on advantages resulting from family socioeconomic status and academic achievement, resulting in even higher levels of income at midcareer. The sample consisted of participants from the National Longitudinal Survey of Youth, a national probability sample that first surveyed participants in 1979. The authors found that core self-evaluations and family socioeconomic status and academic achievement predict income and that, furthermore, high core self-evaluations enhance the benefits derived from these factors. Overall, it appears that individuals with positive core self-evaluations are particularly adept at translating early advantages into later economic success. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Electrospinning functional nanoscale fibers: a perspective for the future

Over the past decade, electrospinning has grown from a small niche process to a widely used fiber formation technique. Applying a strong electric potential on a polymer solution or melt produces nanoscale fibers. These nanofibers form non‐woven textile mats, oriented fibrous bundles and even three‐dimensional structured scaffolds, all with large surface areas and high porosity. Major applications of electrospun membranes include tissue engineering, controlled drug delivery, sensing, separations, filtration, catalysis and nanowires. This perspective article highlights many recent advances in electrospun fibers for functional applications, with an emphasis on the advantages and proposed technologies for these non‐woven fibrous scaffolds. Copyright © 2007 Society of Chemical Industry     

Disambiguating Japanese compound verbs

The purpose of this study is to disambiguate Japanese compound verbs (JCVs) using two methods: (1) a statistical sense discrimination method based on verb-combinatoric information, which feeds into a first-sense statistical sense disambiguation method and (2) a manual rule-based sense disambiguation method which draws on argument structure and verb semantics. In evaluation, we found that the rule-based method outperformed the statistical method at 94.6% token-level accuracy, suggesting that fine-grained semantic analysis is an important component of JCV disambiguation. At the same time, the performance of the fully automated statistical method was found to be surprisingly good at 82.6%, without making use of syntactic or lexical semantic knowledge.