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2Glioblastoma, from disease understanding towards optimal cell-based in vitro models
C. Boccellato, and M. Rehm. Cellular Oncology, (Jun 28, 2022)
7 days ago by @simtech
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pn2
simtech
izi
2022
EXC2075
from:cristiano
morrison
pn2simtechizi2022EXC2075from:cristianomorrison
(0)
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3Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns
S. Adam, J. Bräcker, V. Klingel, B. Osteresch, N. Radde, J. Brockmeyer, P. Bashtrykov, and A. Jeltsch. Communications Biology, 5 (1): 92 (Jan 24, 2022)
21 days ago by @simtech
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myown
pn2
graduateschool
from:vivianeklingel
peerreviewed
exc2075
myownpn2graduateschoolfrom:vivianeklingelpeerreviewedexc2075
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3Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximation
T. Martin, and F. Allgöwer. Proc. American Control Conf. (ACC), page 1432-1437. Atlanta, GA, USA, (2022)
22 days ago by @simtech
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from:timmartin
pn4
EXC2075
from:timmartinpn4EXC2075
(0)
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2A Method to Derive Structural Information on Molecules from Residual Dipolar Coupling NMR Data
W. van Gunsteren, M. Pechlaner, L. Smith, B. Stankiewicz, and N. Hansen. The Journal of Physical Chemistry B, 126 (21): 3867--3888 (May 2022)
28 days ago by @simtech
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pn3
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exc2075
pn3peerreviewedfrom:niels_hansenexc2075
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2Exploring the Effect of Enhanced Sampling on Protein Stability Prediction
D. Markthaler, M. Fleck, B. Stankiewicz, and N. Hansen. Journal of Chemical Theory and Computation, 18 (4): 2569--2583 (March 2022)
28 days ago by @simtech
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exc2075
pn3peerreviewedfrom:niels_hansenexc2075
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4Influence of layer slipping on adsorption of light gases in covalent organic frameworks: A combined experimental and computational study
C. Kessler, R. Schuldt, S. Emmerling, B. Lotsch, J. Kästner, J. Gross, and N. Hansen. Microporous and Mesoporous Materials, (May 2022)
28 days ago by @simtech
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pn3
peerreviewed
from:niels_hansen
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2Molecular dynamics simulation or structure refinement of proteins: are solvent molecules required? A case study using hen lysozyme
M. Pechlaner, W. van Gunsteren, N. Hansen, and L. Smith. European Biophysics Journal, 51 (3): 265--282 (Apr 1, 2022)
28 days ago by @simtech
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2Umbrella sampling and double decoupling data for methanol binding to Candida antarctica lipase B
D. Markthaler, and N. Hansen. Data in Brief, (December 2021)
28 days ago by @simtech
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myown
pn3
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4Binding free energies for the SAMPL8 CB8 “Drugs of Abuse” challenge from umbrella sampling combined with Hamiltonian replica exchange
D. Markthaler, H. Kraus, and N. Hansen. Journal of Computer-Aided Molecular Design, (2022)
28 days ago by @simtech
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4Binding free energies for the SAMPL8 CB8 ``Drugs of Abuse'' challenge from umbrella sampling combined with Hamiltonian replica exchange
D. Markthaler, H. Kraus, and N. Hansen. Journal of Computer-Aided Molecular Design, 36 (1): 1--9 (Jan 1, 2022)
28 days ago by @simtech
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2Certified machine learning: A posteriori error estimation for physics-informed neural networks
B. Hillebrecht, and B. Unger. ArXiv e-print 2203.17055, (2022)
28 days ago by @simtech
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myown
pn4
from:benjaminunger
preprint
exc2075
myownpn4from:benjaminungerpreprintexc2075
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3Composing Partial Differential Equations with Physics-Aware Neural Networks
M. Karlbauer, T. Praditia, S. Otte, S. Oladyshkin, W. Nowak, and M. Butz. Proceedings of the 39th International Conference on Machine Learning, Baltimore, USA, (16--23 Jul 2022)
2 months ago by @simtech
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from:timothypraditia
EXC2075
from:timothypraditiaEXC2075
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6Documenting research software in engineering science
S. Hermann, and J. Fehr. Scientific Reports, 12 (1): 6567 (Apr 21, 2022)
2 months ago by @simtech
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graduateSchool
PNX
EXC2075
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2Mitochondrial genome variations, mitochondrial-nuclear compatibility, and their association with metabolic diseases
A. Ludwig-Słomczyńska, and M. Rehm. Obesity, (May 2022)
2 months ago by @simtech
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pn2
simtech
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2022
EXC2075
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morrison
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4Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue
S. Shuva, P. Buchfink, O. Röhrle, and B. Haasdonk. Large-Scale Scientific Computing, page 402--409. Springer International Publishing, (2022)
2 months ago by @simtech
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myown
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pn5
EXC2075
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ians
myownpeerReviewedpn5EXC2075from:patrickbuchfinkians
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3Commitment zu aktivem Daten- und -softwaremanagement in großen Forschungsverbünden
C. Brecher, M. Buchmeiser, A. Burkert, M. Busemeyer, S. Conermann, T. Ertl, M. Friedrich, R. Helmig, V. Hohmann, A. Johnston and 21 other author(s). Bausteine Forschungsdatenmanagement, (2022)
2 months ago by @simtech
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simtech
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3Commitment zu aktivem Daten- und -softwaremanagement in großen Forschungsverbünden
C. Brecher, M. Buchmeiser, A. Burkert, M. Busemeyer, S. Conermann, T. Ertl, M. Friedrich, R. Helmig, V. Hohmann, A. Johnston and 21 other author(s). (2022)
2 months ago by @simtech
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simtech
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3Inferring Boundary Conditions in Finite Volume Neural Networks
C. Horuz, M. Karlbauer, T. Praditia, M. Butz, S. Oladyshkin, W. Nowak, and S. Otte. International Conference on Artificial Neural Networks 2022, (2022 (submitted))
3 months ago by @simtech
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IWSMONTH:12
IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSYEAR:2022
IWSAUTHOR:OladyshkinSergey
IWSTYPENR:3
from:timothypraditia
EXC2075
peerreviewed
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
pn5
IWSAUTHOR:PraditiaTimothy
IWSABT:ls3
IWSMONTH:12IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSYEAR:2022IWSAUTHOR:OladyshkinSergeyIWSTYPENR:3from:timothypraditiaEXC2075peerreviewed2IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingspn5IWSAUTHOR:PraditiaTimothyIWSABT:ls3
(0)
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3Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – II. Diffusion
V. Zaverkin, G. Molpeceres, and J. Kästner. Mon. Not. R. Astron. Soc., 510 (2): 3063-3070 (2022)
3 months ago by @simtech
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theoretische
EXC2075
stuttgart
from:danielborn
chemie
kaestner
kästner
pn6
theochem
theoretischeEXC2075stuttgartfrom:danielbornchemiekaestnerkästnerpn6theochem
(0)
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4Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows
T. Wenzel, M. Kurz, A. Beck, G. Santin, and B. Haasdonk. Large-Scale Scientific Computing, page 410--418. Cham, Springer International Publishing, (2022)
3 months ago by @simtech
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myown
from:tizianwenzel
pn6
pn6-1
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ians
exc2075
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PUMA

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2Glioblastoma, from disease understanding towards optimal cell-based in vitro models

3Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns

3Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximation

2A Method to Derive Structural Information on Molecules from Residual Dipolar Coupling NMR Data

2Exploring the Effect of Enhanced Sampling on Protein Stability Prediction

4Influence of layer slipping on adsorption of light gases in covalent organic frameworks: A combined experimental and computational study

2Molecular dynamics simulation or structure refinement of proteins: are solvent molecules required? A case study using hen lysozyme

2Umbrella sampling and double decoupling data for methanol binding to Candida antarctica lipase B

4Binding free energies for the SAMPL8 CB8 “Drugs of Abuse” challenge from umbrella sampling combined with Hamiltonian replica exchange

4Binding free energies for the SAMPL8 CB8 ``Drugs of Abuse'' challenge from umbrella sampling combined with Hamiltonian replica exchange

2Certified machine learning: A posteriori error estimation for physics-informed neural networks

3Composing Partial Differential Equations with Physics-Aware Neural Networks

6Documenting research software in engineering science

2Mitochondrial genome variations, mitochondrial-nuclear compatibility, and their association with metabolic diseases

4Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue

3Commitment zu aktivem Daten- und -softwaremanagement in großen Forschungsverbünden

3Commitment zu aktivem Daten- und -softwaremanagement in großen Forschungsverbünden

3Inferring Boundary Conditions in Finite Volume Neural Networks

3Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – II. Diffusion

4Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows

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