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David H. Sharp

Researcher at Los Alamos National Laboratory

Publications -  177
Citations -  9183

David H. Sharp is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Mixing (physics) & Quantum field theory. The author has an hindex of 48, co-authored 176 publications receiving 8721 citations. Previous affiliations of David H. Sharp include University of California & Stony Brook University.

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An overview of Rayleigh-Taylor instability☆

TL;DR: In this article, the authors survey Rayleigh-Taylor instability, describing the phenomenology that occurs at a Taylor unstable interface, and reviewing attempts to understand these phenomena quantitatively, and present a survey of the literature on Rayleigh Taylor instability.
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Carbon dioxide disposal in carbonate minerals

TL;DR: In this paper, a safe and permanent method of CO2 disposal based on combining CO2 chemically with abundant raw materials to form stable carbonate minerals is introduced, where substantial heat is liberated in the overall chemical reaction so that cost will be determined by the simplicity and speed of the reaction rather than the cost of energy.
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Dynamic control of positional information in the early Drosophila embryo

TL;DR: This analysis implies that the threshold-dependent interpretation of maternal morphogen concentration is not sufficient to determine shifting gap domain boundary positions, and suggests that establishing and interpreting positional information are not independent processes in the Drosophila blastoderm.
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A connectionist model of development

TL;DR: A phenomenological modeling framework for development based on a connectionist or "neural net" dynamics for biochemical regulators coupled to "grammatical rules" which describe certain features of the birth, growth, and death of cells, synapses and other biological entities is presented.
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Canalization of Gene Expression in the Drosophila Blastoderm by Gap Gene Cross Regulation

TL;DR: It is demonstrated that cross regulation between the gap genes causes their expression to approach dynamical attractors, reducing initial variation and providing a robust output, and more generally it is shown that the complex multigenic phenomenon of canalization can be understood at a quantitative and predictive level by the application of a precise dynamical model.