PRESSURE GENERATION SYSTEM von CLEMENTI, Frank, ALFIERI, Richard Paul

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System and method for varying pressure from a pressure generator von Alfieri, Richard Paul, Clementi, Frank

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SYSTEM AND METHOD FOR VARYING PRESSURE FROM A PRESSURE GENERATOR von CLEMENTI, Frank, ALFIERI, Richard Paul

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SYSTEM AND METHOD FOR VARYING PRESSURE FROM A PRESSURE GENERATOR von ALFIERI, RICHARD PAUL, CLEMENTI, FRANK

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SYSTEM AND METHOD FOR VARYING PRESSURE FROM A PRESSURE GENERATOR von CLEMENTI, Frank, ALFIERI, Richard Paul

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Separable scissors with elastic stoppers von CLEMENTI FRANK J, ABEL EVAN MARK, HARTMAN THOMAS WILLIAM, NENE LUCAS O

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SEPARABLE SCISSORS WITH ELASTIC STOPPERS von CLEMENTI, FRANK, J, HARTMAN, THOMAS, WILLIAMS, ABEL, EVAN, MARK, NENE, LUCAS

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SEPARABLE SCISSORS WITH ELASTIC STOPPERS von CLEMENTI FRANK J, ABEL EVAN MARK, HARTMAN THOMAS WILLIAM, NENE LUCAS O

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SEPARABLE SCISSORS WITH ELASTIC STOPPERS von CLEMENTI, Frank, J. J, ABEL, Evan, Mark M, NENE, Lucas, HARTMAN, Thomas, Willams W

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Separable scissors with elastic stoppers von NENE LUCAS, HARTMAN THOMAS WILLIAMS, CLEMENTI FRANK J, ABEL EVAN MARK

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Collective variables for the study of long-time kinetics from molecular trajectories: theory and methods von Noé, Frank, Clementi, Cecilia

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Readmission prediction after colorectal cancer surgery: A derivation and validation study von D'Souza, Joel, Eglinton, Timothy, Frizelle, Frank

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Machine learning for protein folding and dynamics von Noé, Frank, De Fabritiis, Gianni, Clementi, Cecilia

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Machine Learning for Molecular Simulation von Noé, Frank, Tkatchenko, Alexandre, Müller, Klaus-Robert, Clementi, Cecilia

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Kinetic Distance and Kinetic Maps from Molecular Dynamics Simulation von Noé, Frank, Clementi, Cecilia

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Unsupervised Learning Methods for Molecular Simulation Data von Glielmo, Aldo, Husic, Brooke E, Rodriguez, Alex, Clementi, Cecilia, Noé, Frank, Laio, Alessandro

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Machine Learning of Coarse-Grained Molecular Dynamics Force Fields von Wang, Jiang, Olsson, Simon, Wehmeyer, Christoph, Pérez, Adrià, Charron, Nicholas E, de Fabritiis, Gianni, Noé, Frank, Clementi, Cecilia

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Deep learning to decompose macromolecules into independent Markovian domains von Mardt, Andreas, Hempel, Tim, Clementi, Cecilia, Noé, Frank

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Combining experimental and simulation data of molecular processes via augmented Markov models von Olsson, Simon, Wu, Hao, Paul, Fabian, Clementi, Cecilia, Noé, Frank

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Machine learning coarse-grained potentials of protein thermodynamics von Majewski, Maciej, Pérez, Adrià, Thölke, Philipp, Doerr, Stefan, Charron, Nicholas E., Giorgino, Toni, Husic, Brooke E., Clementi, Cecilia, Noé, Frank, De Fabritiis, Gianni

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