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HomeAffiliationsSandia National Laboratories

Affiliations: Sandia National Laboratories

Examining Tissue Differentiation Stability through Large Scale, Multi-Cellular Pathway Modeling

Schiek R.L., May E.M., Sandia National Laboratories, US
Using a multi-cellular, pathway model approach, we investigate the Drosophila sp. segmental differentiation network's stability as a function of initial conditions. While this network's functionality has been investigated in the absence of noise, this is [...]

Static and Dynamic Optical Metrology of Micro-Mirror Thermal Deformation

Forest C.R., Reynolds-Brown P., Blum Spahn O., Harris J., Novak E., Wong C.C., Mani S., Peter F., Adams D., Sandia National Laboratories, US
A two-position micro-optical switch is being developed at Sandia National Laboratories. This MEMS device is shown in Figure 1 as a gear with a through-hole; the actuation mechanism is not shown. In the "on" position, [...]

Using Topology Derived Masks to Facilitate 3D Design

Schiek R., Schmidt R., Sandia National Laboratories, US
To accelerate MEMS design for surface micromachining applications, an algorithm and associated design tool have been created which translates designers’ 3D models into 2D lithographic production masks. Typically, designing a surface micromachined, MEMS device requires [...]

Feature Length-Scale Modeling of LPCVD and PECVD MEMS Fabrication Processes

Musson L.C., Ho P., Plimpton S.J., Schmidt R.C., Sandia National Laboratories, US
The surface micromachining processes used to manufacture MEMS devices and integrated circuits transpire at such small length scales and are sufficiently complex that theoretical analysis of them is particularly inviting. Under development at Sandia National [...]

Ab-initio Molecular Dynamics of CH3OH at the H2O/Pt interface

Mattsson T.R., Paddison S.J., Sandia National Laboratories, US
Among the engineering achievements, including a reduction in the overall cost of the system, necessary for Direct Methanol Fuel Cells (DMFC) to become a competitive alternative for both portable and stationary power applications, are improved [...]

MEMS Fabrication Modeling with ChISELS: A Massively Parallel 3-D Level-Set Based Feature Scale Modeler

Musson L.C., Plimpton S.J., Schmidt R.C., Sandia National Laboratories, US
We are developing ChISELS (Chemically Induced Surface Evolution with Level-Sets), a parallel code to model 3-D material depositions and etches at feature scales on patterned wafers at low pressures. ChISELS is a platform on which [...]

A Fully Coulpled Computational Model of the Silylation Process

Winters W.S., Evans G.H., Prantil V.C., Larson R.S., Sandia National Laboratories, US
This paper describes a fully coupled computational model of the positive tone silylation process. The model is two-dimensional and transient and focuses on the part of the lithography process in which crosslinked and uncrosslinked resist [...]

A New, Topology Driven Method for Automatic Mask Generation from Three-Dimensional Models

Schiek R., Schmidt R., Sandia National Laboratories, US
We have developed an algorithm which when given a three-dimensional object can infer from the objects topology the two-dimensional masks needed to produce that object with surface micromachining.Our algorithm, called Faethm, calculates the required two-dimensional [...]

Accurate Analytical Models of Fluid Friction in Rectangular Microchannels

Tchikanda S.W., Nilson R.H., Griffiths S.K., Sandia National Laboratories, US
Liquid flow in microchannels is important to a number of technologies including cooling of microelectronics by heat pipes and capillary pumped loops as well as capillary wetting of channels in molding processes and in chip-based [...]

Study of Sample Dispersion Mechanisms in an Electroosmotically Pumped Microchannel

Debusschere B., Najm H., Matta A., Knio O., Ghanem R., Le Maitre O., Sandia National Laboratories, US
In many microfluidic separation processes, dispersion of sample peaks is a significant problem limiting the detection resolution. In this work, we use simulations to study the dominant dispersion mechanisms during a protein labeling process in [...]

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