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Mathematics & Statistics

Modeling & simulation research

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Displaying 376 - 400 of 904

A DOMAIN DRIVEN APPROACH TO METAMODELING IN ADDITIVE MANUFACTURING

September 6, 2017
Author(s)
Peter O. Denno, Yan Lu, Paul Witherell, Sundar Krishnamurty, Ian Grosse, Douglas Eddy
Recent studies have shown advantages to utilizing metamodeling techniques to mimic, analyze, and optimize system input-output relationships in Additive Manufacturing (AM). This paper addresses a key challenge in applying such metamodeling methods, namely

A Brief Introduction to the Winter Simulation Conference

September 1, 2017
Author(s)
Andreas Tolk, John Fowler, Guodong Shao, Enver Yucesan
In December of 2017, the Winter Simulation Conference (WSC) celebrates its 50th anniversary. Among the special events planned to commemorate this milestone will be a track highlighting the history and fundamental contributions these conferences have made

Conceptual Modeling

August 19, 2017
Author(s)
Conrad E. Bock, Fatma Dandashi, Sanford Friedenthal, Natalie Harrison, Steven Jenkins, Leon McGinnis, Janos Sztipanovits, Adelinde Uhrmacher, Eric Weisel, Lin Zhang
Understanding and developing complex systems requires collaboration between individuals with widely varying expertise. Communication between these individuals is facilitated by conceptual models. Conceptual models are early stage artifacts that integrate

Scaling Methods for Dynamic Building System Simulation in an HVACSIM+ Environment

August 9, 2017
Author(s)
Zhelun Chen, Jin Wen, Anthony J. Kearsley, Amanda Pertzborn
A robust and efficient nonlinear algebraic and differential equations solver is increasingly essential as the scale of dynamic building system simulation grows larger and the models employed become more complex. There are many factors affecting the

Towards a Semantically-Enabled Control Strategy for Building Simulations: Integration of Semantic Technologies and Model Predictive Control

August 9, 2017
Author(s)
Parastoo Delgoshaei, Mark Austin, Amanda Pertzborn, Mohammad Heidarinejad, Vikas Chandan
State-of-the-art building simulation control methods incorporate physical constraints into their mathematical models, but omit implicit constraints associated with policies of operation and dependency relationships among rules representing those

Energy renormalization approach to coarse-graining of polymer dynamics

August 8, 2017
Author(s)
Wenjie Xia, Jake Song, Cheol Jeong, David D. Hsu, Frederick R. Phelan Jr., Jack F. Douglas, Sinan Keten
A major challenge in soft matter science is the bottom-up prediction of the temperature- dependent behavior of amorphous glass-forming (GF) polymers. Coarse-grained (CG) models derived from atomistic simulation data offer chemical specificity and access to

Temperature extrapolation of multicomponent grand canonical free energy landscapes

August 7, 2017
Author(s)
Nathan Mahynski, Jeffrey R. Errington, Vincent K. Shen
We derive a method for extrapolating the grand canonical free energy landscape of a multicomponent fluid system from one temperature to another. Previously, we introduced this statistical mechanical framework for the case where kinetic energy contributions

Transport Effects on Multiple-Component Reactions in Optical Bionsensors

August 1, 2017
Author(s)
Ryan M. Evans, David A. Edwards
Many biochemical reactions involve a stream of chemical reactants (ligand molecules) flowing over a surface to which other reactants (receptors) are confined. Scientists measure rate constants associated with these reactions in an optical biosensor: an

Receptor heterogeneity in optical biosensors

July 13, 2017
Author(s)
David A. Edwards, Ryan Evans
Many biochemical reactions in nature involve a stream of chemical reactants (ligand molecules) flowing over a surface to which other reactants (receptors) are confined. Scientists measure rate constants associated with these reactions in an optical

Sampling Architectures for Ultra-Wideband Signals

July 3, 2017
Author(s)
Howard S. Cohl, Steve Casey
Ultra-wideband (UWB) signal processing is a technology with many features that could develop into advances in communication and information technology. The technology has tremendous potential, but also presents challenges to the signal processing community