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Jeffrey T. Fong, Pedro V. Marcal, Robert B. Rainsberger, Li Ma, Nathanael A. Heckert, James J. Filliben
Errors and uncertainties in finite element method (FEM) computing can come from the following eight sources: (1) Computing platform; (2) choice of element types; (3) choice of mean element density or degrees of freedom (d.o.f.); (4) choice of a percent
Jake Song, David D. Hsu, Kenneth R. Shull, Frederick R. Phelan Jr., Jack F. Douglas, Wenjie Xia, Sinan Keten
Developing time and temperature transferable coarse-grained (CG) models is essential for the computational prediction and design of polymeric glass-forming materials, but this goal has remained elusive. The dynamics of CG models are often greatly altered
Propagation of cost-effective water level sensors powered through the Internet of Things (IoT) has expanded the available offerings of ingestible data streams at the disposal of modern smart cities. StormSense is an IoT-enabled inundation forecasting
Researchers model congestion in communication networks using a percolation process, where congestion spreads minimally before a critical load and expands rapidly afterwards. Some studies identify precursor signals arising near critical load, but none
We have developed a new method for exact calculation of synchrotron radiation for the National Institute of Standards and Technology Synchrotron Ultraviolet Radiation Facility, SURF III. Instead of using the Schwinger formula, which is only an
Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben, Marvin J. Cohn
Uncertainty in modeling the creep rupture life of a full-scale component using experimental data at microscopic (Level 1), specimen (Level 2), and full-size (Level 3) scales, is addressed by applying statistical theory of prediction intervals, and that of
Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben, Stephen W. Freiman
Uncertainty in modeling the fatigue life of a full-scale component using experimental data at microscopic (Level 1), specimen (Level 2), and full-size (Level 3) scales, is addressed by applying statistical theory of prediction intervals, and that of
Pin A. Lin, Bharath N. Natarajan, Michael P. Zwolak, Renu Sharma
During the catalytic synthesis of graphene, nanotubes, fibers, and other nanostructures, many intriguing phenomena occur, such as phase separation, precipitation, and processes similar to capillary action. The underlying mechanism of these processes and
Computational investigation of of the photochemical properties of transition-metal-centered dyes typically involves optimization of the molecular structure followed by calculation of the UV/Visible spectrum. At present, these steps are usually carried out
In this contribution, we study the orthogonality conditions satisfied by Al-Salam-Carlitz polynomials $U^(a)}_n(x;q)$ when the parameters $a$ and $q$ are not necessarily real nor 'classical'. We establish orthogonality on a simple contour in the complex
We investigate the influence of counter-ion solvation on the homogeneity of salt-free polyelectrolyte solutions based on coarse-grained model that includes an explicit solvent. Increasing the short-range attraction interaction strength of the counter-ions