Rapid prediction of NMR spectral properties with quantified uncertainty von Jonas, Eric, Kuhn, Stefan

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Cavity cooling of free silicon nanoparticles in high vacuum von Asenbaum, Peter, Kuhn, Stefan, Nimmrichter, Stefan, Sezer, Ugur, Arndt, Markus

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Optically driven ultra-stable nanomechanical rotor von Kuhn, Stefan, Stickler, Benjamin A., Kosloff, Alon, Patolsky, Fernando, Hornberger, Klaus, Arndt, Markus, Millen, James

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Probing macroscopic quantum superpositions with nanorotors von Stickler, Benjamin A, Papendell, Birthe, Kuhn, Stefan, Schrinski, Björn, Millen, James, Arndt, Markus, Hornberger, Klaus

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Evolving Deep Learning Convolutional Neural Networks for Early COVID-19 Detection in Chest X-ray Images von Khishe, Mohammad, Caraffini, Fabio, Kuhn, Stefan

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The European IPF registry (eurIPFreg): baseline characteristics and survival of patients with idiopathic pulmonary fibrosis von Guenther, Andreas, Krauss, Ekaterina, Tello, Silke, Wagner, Jasmin, Paul, Bettina, Kuhn, Stefan, Maurer, Olga, Heinemann, Sabine, Costabel, Ulrich, Barbero, María Asunción Nieto, Müller, Veronika, Bonniaud, Philippe, Vancheri, Carlo, Wells, Athol, Vasakova, Martina, Pesci, Alberto, Sofia, Matteo, Klepetko, Walter, Seeger, Werner, Drakopanagiotakis, Fotios, Crestani, Bruno

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NMR shift prediction from small data quantities von Rull, Herman, Fischer, Markus, Kuhn, Stefan

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The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching von Willighagen, Egon L., Mayfield, John W., Alvarsson, Jonathan, Berg, Arvid, Carlsson, Lars, Jeliazkova, Nina, Kuhn, Stefan, Pluskal, Tomáš, Rojas-Chertó, Miquel, Spjuth, Ola, Torrance, Gilleain, Evelo, Chris T., Guha, Rajarshi, Steinbeck, Christoph

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Local reversibility in a Calculus of Covalent Bonding von Kuhn, Stefan, Ulidowski, Irek

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Building blocks for automated elucidation of metabolites: machine learning methods for NMR prediction von Kuhn, Stefan, Egert, Björn, Neumann, Steffen, Steinbeck, Christoph

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Applications of machine learning and artificial intelligence in NMR von Kuhn, Stefan

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Stereo-Aware Extension of HOSE Codes von Kuhn, Stefan, Johnson, Sean R

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The Three Pillars of Natural Product Dereplication. Alkaloids from the Bulbs of Urceolina peruviana (C. Presl) J.F. Macbr. as a Preliminary Test Case von Lianza, Mariacaterina, Leroy, Ritchy, Machado Rodrigues, Carine, Borie, Nicolas, Sayagh, Charlotte, Remy, Simon, Kuhn, Stefan, Renault, Jean-Hugues, Nuzillard, Jean-Marc

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Nuclear Magnetic Resonance and Artificial Intelligence von Kuhn, Stefan, de Jesus, Rômulo Pereira, Borges, Ricardo Moreira

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Discriminating the origin of fish from closely related water bodies by combining NMR spectroscopy with statistical analysis and machine learning von Kuhn, Stefan, Reitel, Kärt, Homapour, Elmina, Kork, Kärolin, Vaino, Väino, Arula, Timo, Bernotas, Priit, Reile, Indrek

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Particle Swarm Optimisation in Practice: Multiple Applications in a Digital Microscope System von Ryan, Louis, Kuhn, Stefan, Colreavy-Donnely, Simon, Caraffini, Fabio

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O(3) nonlinear sigma model in 1 + 1 dimensions with matrix product states von Bruckmann, Falk, Jansen, Karl, Kühn, Stefan

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NMReDATA, a standard to report the NMR assignment and parameters of organic compounds von Pupier, Marion, Nuzillard, Jean‐Marc, Wist, Julien, Schlörer, Nils E., Kuhn, Stefan, Erdelyi, Mate, Steinbeck, Christoph, Williams, Antony J., Butts, Craig, Claridge, Tim D.W., Mikhova, Bozhana, Robien, Wolfgang, Dashti, Hesam, Eghbalnia, Hamid R., Farès, Christophe, Adam, Christian, Kessler, Pavel, Moriaud, Fabrice, Elyashberg, Mikhail, Argyropoulos, Dimitris, Pérez, Manuel, Giraudeau, Patrick, Gil, Roberto R., Trevorrow, Paul, Jeannerat, Damien

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A Proposed VR Platform for Supporting Blended Learning Post COVID-19 von Colreavy-Donelly, Simon, Ryan, Alan, O’Connor, Stuart, Caraffini, Fabio, Kuhn, Stefan, Hasshu, Salim

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Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables von Yen, Tan Jo, Vengusamy, Sivakumar, Caraffini, Fabio, Kuhn, Stefan, Colreavy-Donnelly, Simon

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