Materials reliability division, FY 2000 programs and accomplishments
Bibliographic record
Abstract
The Materials Reliability Division develops measurement technologies that enable producers and users of materials to improve the quality and reliability of their products and to meet the ever more stringent materials challenges in the microelectronics market.The metrology devices and concepts, and the associated materials science base, cover the range of materials from metals to polymers to ceramics.Specimen dimensions range from the microscale and nanoscale of electronic packages and their components to the massive structures found in gas pipelines and bridges.Many measurement techniques are brought to bear on the problems, ranging from traditional and advanced ultrasonic testing to advanced transmission electron microscopy, scanned-probe microscopy, and new measurements yet to be named.The Division also provides measurements and standards to support the instruments necessary for assuring the accurate determination of impact resistance of structural steels through the standard reference materials (SRM) program.In FYOO the Division focused its resources on the following research areas: Microscale Measurements: These projects develop measurement techniques for evaluating the mechanical, thermal, electrical and magnetic behavior of thin fdms and coatings at size scales typical of modern electronic chip and package structures.With our industrial partners, we used crystallographic studies with electron microscopy to clarify the mechanisms of electromigration failure.Concurrent development of a electromigration test facility with both variable frequency and variable temperature further increased our capabilities to study this critical failure mode of modern electronics.Scanned-probe microscopy is being developed as a measurement technique offering the promise of moving to even finer scales in determination of acoustic, thermal, and mechanical properties, with successful demonstrations of all modes in FYOO.This year also saw the return from industry of one staff member who had completed a successful term as a NIST Industrial Fellow at Motorola, and the departure of another for a nine-month stay at the Max Planck Institute for Metal Studies.Microstructure Sensing: In this program, ultrasonic measurements are applied to the characterization of materials on a scale extending from atomic dimensions (lattice defects), through microstructures (grains) to macrostructures (pipelines).During FYOO, emphasis shifted from development of ultrasonic techniques applicable to structural steels to similar measurements on the materials used in microelectronic devices.On the nanometer scale, the atomic force microscope was modified to measure the compliance of surfaces at this level of resolution.The laser ultrasonics and acoustic microscope facilities moved into frequencies over 100 MHz, where the acoustic wavelengths better match the dimensions of the structures used in modern microcircuit devices.As a result, we can now measure the elastic moduli of deposited films whose thickness dimensions lie in the range of 0.1 to 10 micrometers and use the results in models to describe the response of the film and substrate to environmental variables such as temperature changes and processing conditions.Also, improvements in our capabilities in acoustic-resonance spectroscopy enabled us to characterize new materials for microelectronic components, such as crystal oscillators, filters and dielectric resonators.Work at the large scale of dimensions continued with development of techniques to detect and measure residual stress and plastic deformation in large structures in the field.Process Sensing and Modeling: The projects in this area develop measurement technology for determining a material's characteristics and/or implementing real-time process control.FYOO was a period of transition, as we expanded our activities into several new directions.We noted that the material-property data for lead-free solders were widely distributed through the literature and so started a database effort.In high-energy x-ray diffraction, the techniques that we had developed to monitor the in-situ solidification of turbine blades were applied to the detection of brittle intermetallic phases in solder joints.In welding, our collaboration with the Intelligent Systems Division in Gaithersburg resulted in demonstration of remote sensing of welding problems over the world wide web for several automobile suppliers.In high-temperature deformation, the techniques developed during our studies of steels were applied to a study of the formability of aluminum, in a joint project with the Metallurgy Division. Division Chiefs Commentary:FYOO completes the first year of operation of the Materials Reliability Division under new management.The focus of the Division has changed, being directed more into the area of electronic materials research while maintaining a presence in a few of the infrastructure support efforts that had been the main activity of the Division for many years.Many staff members have worked successfully to apply their expertise to new types of materials and problems on a significantly different size scale.This report describes these activities in some detail.During the year, new equipment and facilities were procured and put in place to support our developing research areas with increased capabilities on the smaller scales inherent in our new directions.We anticipate significant accomplishments in these areas in the upcoming year.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.026 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".