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Eckhoff, Marco [Author] ; Behler, Jörg [Degree supervisor]; Blöchl, Peter [Degree supervisor]; Spohr, Eckhard [Degree supervisor]

Investigation of lithium manganese oxides using high-dimensional neural networks

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Göttingen, 2022
Eckhoff, Marco [Author] ; Behler, Jörg [Degree supervisor]; Behler, Jörg [Other]; Blöchl, Peter E. [Other]; Spohr, Eckhard [Other]

Investigation of Lithium Manganese Oxides Using High-Dimensional Neural Networks

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... to E-book via German National Library

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Göttingen: Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2022
Eckhoff, Marco; Reiher, Markus

CoRe optimizer: an all-in-one solution for machine learning

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IOP Publishing, 2024

Published in: Machine Learning: Science and Technology, 5 (2024) 1, Seite 015018
Eckhoff, Marco; Reiher, Markus

Lifelong Machine Learning Potentials

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American Chemical Society (ACS), 2023

Published in: Journal of Chemical Theory and Computation, 19 (2023) 12, Seite 3509-3525
Eckhoff, Marco; Behler, Jörg

High-dimensional neural network potentials for magnetic systems using spin-dependent atom-centered symmetry functions

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Springer Science and Business Media LLC, 2021

Published in: npj Computational Materials, 7 (2021) 1
Eckhoff, Marco; Behler, Jörg

Insights into lithium manganese oxide–water interfaces using machine learning potentials

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AIP Publishing, 2021

Published in: The Journal of Chemical Physics, 155 (2021) 24
Eckhoff, Marco; Behler, Jörg

From Molecular Fragments to the Bulk: Development of a Neural Network Potential for MOF-5

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American Chemical Society (ACS), 2019

Published in: Journal of Chemical Theory and Computation, 15 (2019) 6, Seite 3793-3809
Eckhoff, Marco; Blöchl, Peter E.; Behler, Jörg

Hybrid density functional theory benchmark study on lithium manganese oxides

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American Physical Society (APS), 2020

Published in: Physical Review B, 101 (2020) 20
Eckhoff, Marco; Lausch, Knut Nikolas; Blöchl, Peter E.; Behler, Jörg

Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels

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AIP Publishing, 2020

Published in: The Journal of Chemical Physics, 153 (2020) 16
Teuteberg, Thorsten L.; Eckhoff, Marco; Mata, Ricardo A.

A full additive QM/MM scheme for the computation of molecular crystals with extension to many-body expansions

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AIP Publishing, 2019

Published in: The Journal of Chemical Physics, 150 (2019) 15
Eckhoff, Marco; Schönewald, Florian; Risch, Marcel; Volkert, Cynthia A.; Blöchl, Peter E.; Behler, Jörg

Closing the gap between theory and experiment for lithium manganese oxide spinels using a high-dimensional neural network potential

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American Physical Society (APS), 2020

Published in: Physical Review B, 102 (2020) 17
Forsting, Thomas; Zischang, Julia; Suhm, Martin A.; Eckhoff, Marco; Schröder, Benjamin; Mata, Ricardo A.

Strained hydrogen bonding in imidazole trimer: a combined infrared, Raman, and theory study

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Royal Society of Chemistry (RSC), 2019

Published in: Physical Chemistry Chemical Physics, 21 (2019) 11, Seite 5989-5998
Queudeville, Manon; Vendramini, Elena; Giordan, Marco; Eckhoff, Sarah M.; Basso, Giuseppe; Debatin, Klaus-Michael; Kronnie, Truus Te; Meyer, Lueder H.

Xenografts of Pediatric Acute Lymphoblastic Leukemia Retain the Gene Expression Pattern From the Diagnostic Material They Originated From Over Serial Passages

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American Society of Hematology, 2009

Published in: Blood, 114 (2009) 22, Seite 1629-1629
Altnöder, Jonas; Krüger, Kerstin; Borodin, Dmitriy; Reuter, Lennart; Rohleder, Darius; Hecker, Fabian; Schulz, Roland A.; Nguyen, Xuan T.; Preiß, Helen; Eckhoff, Marco; Levien, Marcel; Suhm, Martin A.

The Guinness Molecules for the Carbohydrate Formula : The Guinness Molecules for the Carbohydrate Formula

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Wiley, 2014

Published in: The Chemical Record, 14 (2014) 6, Seite 1116-1133
Weymuth, Thomas; Unsleber, Jan P.; Türtscher, Paul L.; Steiner, Miguel; Sobez, Jan-Grimo; Müller, Charlotte H.; Mörchen, Maximilian; Klasovita, Veronika; Grimmel, Stephanie A.; Eckhoff, Marco; Csizi, Katja-Sophia; Bosia, Francesco; Bensberg, Moritz; Reiher, Markus

SCINE—Software for chemical interaction networks

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AIP Publishing, 2024

Published in: The Journal of Chemical Physics, 160 (2024) 22
Seyfried, Felix; Accordi, Benedetta; Queudeville, Manon; Eckhoff, Sarah Mirjam; Milani, Gloria; Galla, Luisa; Giordan, Marco; Kraus, Johann M; Basso, Giuseppe; Kestler, Hans Armin; Kronnie, Geertruy te; Debatin, Klaus-Michael; Meyer, Lueder Hinrich

High Risk Acute Lymphoblastic Leukemia with Rapid NOD/SCID Engraftment Is Characterized by High Protein Expression of CYCLIN B, Beta-CATENIN, ANNEXIN I and Decreased PKC Alpha Activation

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American Society of Hematology, 2011

Published in: Blood, 118 (2011) 21, Seite 1457-1457
Meyer, Lüder Hinrich; Eckhoff, Sarah Mirjam; Queudeville, Manon; Kraus, Johann Michael; Giordan, Marco; Stursberg, Jana; Zangrando, Andrea; Vendramini, Elena; Möricke, Anja; Zimmermann, Martin; Schrauder, Andre; Lahr, Georgia; Holzmann, Karlheinz; Schrappe, Martin; Basso, Giuseppe; Stahnke, Karsten; Kestler, Hans Armin; te Kronnie, Geertruy; Debatin, Klaus-Michael

Early Relapse in ALL Is Identified by Time to Leukemia in NOD/SCID Mice and Is Characterized by a Gene Signature Involving Survival Pathways

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Elsevier BV, 2011

Published in: Cancer Cell, 19 (2011) 2, Seite 206-217
Kavanagh, Brian P.; Ngo, Cuong; Raymer, Karen; Yang, Homer; Alhashemi, Jamal A.; Lui, Anne C. P.; Reid, Dennis; Cicutti, Nicholas; Krepski, Barbra; Wood, Gordon; Heyland, Daren K.; Badner, Neal H.; Murkin, John M.; Mohr, Jim; McKenzie, F. Neil; van der Starre, Peter J. A.; van Rooyen-Butijn, W. T.; Wilson-Yang, Kristine; Teoh, Kevin; Lee, R. M. K. W.; Hossain, Imtiaz; Cheng, Davy; Karski, Jacek; Asokumar, Buvanendran; [...]

Abstracts

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Springer Science and Business Media LLC, 1997

Published in: Canadian Journal of Anaesthesia, 44 (1997) S1, Seite A3-A73

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