D
David A. Kessler
Researcher at United States Naval Research Laboratory
Publications - 378
Citations - 10682
David A. Kessler is an academic researcher from United States Naval Research Laboratory. The author has contributed to research in topics: Population & Instability. The author has an hindex of 46, co-authored 364 publications receiving 9669 citations. Previous affiliations of David A. Kessler include University of Michigan & Lawrence Berkeley National Laboratory.
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Laminar Flow Forced Convection Heat Transfer Behavior of a Phase Change Material Fluid in Finned Tubes
TL;DR: In this article, the heat transfer behavior of phase change material fluid (PCM) under laminar flow conditions in circular tubes and internally longitudinal finned tubes was studied, and an effective specific heat technique was used to model the phase change process.
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An accelerated pathway for targeted cancer therapies.
Mark McClellan,Joshua S. Benner,Richard L. Schilsky,David Epstein,Ray Woosley,Stephen H. Friend,David Sidransky,Cindy Geoghegan,David A. Kessler +8 more
TL;DR: A well-defined pathway for the accelerated development and approval of targeted cancer therapies and companion diagnostics would reduce uncertainty, improve efficiency in development and provide an effective incentive for developers.
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Mode-I fracture in a nonlinear lattice with viscoelastic forces.
TL;DR: This study of mode-I fracture in a viscoelastic lattice model with a nonlinear force law, with a focus on the velocity and linear stability of the steady-state propagating solution, calculates the critical velocity for the onset of instability as a function of the smoothness, the dissipation and the ratio of lattice spacing to critical extension.
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Neutral dynamics with environmental noise: Age-size statistics and species lifetimes.
TL;DR: It turns out that environmentally induced variations of the demographic rates control the long-term dynamics and modify dramatically the predictions of the neutral theory with demographic noise only, yielding much better agreement with empirical data.
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Effects of thymic selection on T cell recognition of foreign and tumor antigenic peptides.
TL;DR: A model of T cell binding that accurately represents the influence of self-peptides on thymic negative selection is developed, enabling the analytical study of the effects of selection on the CTL recognition of TANs and completely foreign peptides and can estimate the number of CTLs that can detect donor-matched transplants.