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1.
Host-[2]Rotaxane: A Novel Molecular Machine
by Zehnder, Donald W., II, Ph.D.  University of Cincinnati. 2003: 201 pages; 10857196.
2.
A Systematic Property Based Approach for Molecular Synthesis Using Higher Order Molecular Groups and Molecular Descriptors
by Chemmangattuvalappil, Nishanth Gopalakrishnan, Ph.D.  Auburn University. 2010: 248 pages; 3446234.
3.
Metastable Paramyxovirus Fusion Proteins: Analysis of a Viral Molecular Machine
by Poor, Taylor Alexander, Ph.D.  Northwestern University. 2014: 127 pages; 3638267.
4.
Towards exact molecular dynamics simulations with invariant machine-learned models
by Chmiela, Stefan, Ph.D.  Technische Universitaet Berlin (Germany). 2019: 27551845.
5.
Structure prediction and visualization in molecular biology
by Poultney, Christopher S., Ph.D.  New York University. 2010: 131 pages; 3408352.
6.
Molecular Recognition Involving Anthraquinone Derivatives and Molecular Clips
by Alaparthi, Madhubabu, Ph.D.  University of South Dakota. 2017: 138 pages; 10285748.
7.
Model systems for molecular docking: Understanding molecular recognition in polar and charged binding sites
by Boyce, Sarah Emily, Ph.D.  University of California, San Francisco. 2009: 257 pages; 3390113.
8.
Machine Learning and Network-Based Systems Toxicology Modeling of Chemotherapy-Induced Peripheral Neuropathy
by Bloomingdale, Peter, Ph.D.  State University of New York at Buffalo. 2018: 353 pages; 13427432.
9.
Structure Prediction and Variant Interpretation of Membrane Proteins Aided by Machine Learning Algorithms
by Li, Bian, Ph.D.  Vanderbilt University. 2018: 192 pages; 13917125.
12.
Towards Fast Dual Frequency Comb Spectroscopy in Dynamic High Pressure Systems
by Draper, Anthony Diego, M.S.  University of Colorado at Boulder. 2018: 103 pages; 10982919.
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Toward a molecular programming language for algorithmic self-assembly
by Patitz, Matthew John, Ph.D.  Iowa State University. 2010: 174 pages; 3403166.
15.
La transversalité dans l'oeuvre littéraire d'Édouard Glissant
by Domond, Evens, Ph.D.  State University of New York at Albany. 2017: 245 pages; 10683774.
17.
Constructing velocity distributions in crossed-molecular beam studies using Fourier Transform Doppler Spectroscopy
by Monge, Josue Roberto, M.S.  The University of North Carolina at Greensboro. 2012: 82 pages; 1518227.
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Atomistic Monte Carlo Simulation and Machine Learning Data Analysis of Eutectic Alkali Metal Alloys
by Reitz, Doug, Ph.D.  George Mason University. 2018: 118 pages; 10982615.
21.
A Machine Learning Approach to Genome Assessment
by Thrash, Charles Adam, Ph.D.  Mississippi State University. 2019: 104 pages; 22583353.
22.
Asymmetric Mechanism of Molecular Chaperone Hsp90
by Elnatan, Daniel, Ph.D.  University of California, San Francisco. 2017: 79 pages; 10690095.
23.
Predicting “Essential” Genes in Microbial Genomes: A Machine Learning Approach to Knowledge Discovery in Microbial Genomic Data
by Palaniappan, Krishnaveni, Ph.D.  Nova Southeastern University. 2010: 252 pages; 3428281.
25.
Accurate prediction of protein function using GOstruct
by Sokolov, Artem, Ph.D.  Colorado State University. 2011: 90 pages; 3489918.
26.
Strong field dynamics and control of molecular dissociation
by Nichols, Sarah Roxanna, Ph.D.  State University of New York at Stony Brook. 2008: 89 pages; 3358207.
27.
Specification of sex-specific molecular biomarkers
by Lopez, Karen L., M.S.  California State University, Long Beach. 2012: 93 pages; 1517720.
28.
Exploring and Sampling on High Dimensional Free Energy Surfaces
by Chen, Ming, Ph.D.  New York University. 2016: 183 pages; 10025680.
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Poynts and Spots: Molecular Revolutions, Mystical Desires, and the Pearl-Poet
by Staples, James C., Ph.D.  New York University. 2019: 378 pages; 13811488.
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