Paul J. Atzberger

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	Wszystkie	Od 2020
Cytowania	2100	836
h-indeks	25	15
i10-indeks	37	20

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Ben J. GrossPost-Doctoral Researcher UCSD Health, DBMIZweryfikowany adres z health.ucsd.edu
Peter KramerProfessor of Mathematical Sciences, Rensselaer Polytechnic InstituteZweryfikowany adres z rpi.edu
H. Tom SohProfessor of Electrical Engineering and Radiology, Stanford UniversityZweryfikowany adres z stanford.edu
Nathaniel TraskUniversity of PennsylvaniaZweryfikowany adres z seas.upenn.edu
Ravi G PatelScientist, Sandia National LabsZweryfikowany adres z sandia.gov
Paul KuberrySandia National LaboratoriesZweryfikowany adres z sandia.gov
David ValdmanUC Santa BarbaraZweryfikowany adres z math.ucsb.edu
Samuel A IsaacsonBoston University, Department of Mathematics and StatisticsZweryfikowany adres z math.bu.edu
David LacosteESPCIZweryfikowany adres z espci.fr
Francois Quemeneur, PhD & MBAProduct SpecialistZweryfikowany adres z horiba.com
Patricia BassereauInstitut CurieZweryfikowany adres z curie.fr
Marianne RennerFull Professor UPMC, Institut du Fer à Moulin, ParisZweryfikowany adres z inserm.fr
Yaohong WangTianjin UniversityZweryfikowany adres z tju.edu.cn
Megan T. ValentineProfessor of Mechanical Engineering, UCSBZweryfikowany adres z engineering.ucsb.edu
Jinpeng (JP) WangAptitude Medical Systems, Inc.Zweryfikowany adres z aptitudemedical.com
Joseph F. RudzinskiHumboldt UniversityZweryfikowany adres z physik.hu-berlin.de
Linda PetzoldProfessor, University of California Santa BarbaraZweryfikowany adres z cs.ucsb.edu
David RowerGraduate Student, Department of Physics, MITZweryfikowany adres z mit.edu
Sumita PennathurDepartment of Mechanical Engineering, UCSBZweryfikowany adres z engineering.ucsb.edu
Ryan LopezGraduate Student, Massachusetts Institute of TechnologyZweryfikowany adres z mit.edu

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Paul J. Atzberger

Professor of Mathematics and Mechanical Engineering, University of California Santa Barbara

Zweryfikowany adres z ucsb.edu - Strona główna

Scientific Computation Machine Learning Stochastic Methods Statistical Mechanics Biophysics


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Micromagnetic selection of aptamers in microfluidic channels X Lou, J Qian, Y Xiao, L Viel, AE Gerdon, ET Lagally, P Atzberger, ... Proceedings of the National Academy of Sciences 106 (9), 2989-2994, 2009	439	2009
A stochastic immersed boundary method for fluid-structure dynamics at microscopic length scales PJ Atzberger, PR Kramer, CS Peskin Journal of Computational Physics 224 (2), 1255-1292, 2007	222	2007
Shape matters in protein mobility within membranes D Quemeneur, F., Sigurdsson, J.K., Renner, M. , Atzberger, P.J. , Bassereau ... Proceedings of the National Academy of Sciences 11 (14), 5083–5087, 2014	124*	2014
Stochastic Eulerian Lagrangian methods for fluid-structure interactions with thermal fluctuations PJ Atzberger Journal of Computational Physics, 2011	107	2011
Influence of Target Concentration and Background Binding on In Vitro Selection of Affinity Reagents J Wang, JF Rudzinski, Q Gong, HT Soh, PJ Atzberger Public Library of Science 7 (8), e43940, 2012	95	2012
Hybrid Elastic and Discrete-Particle Approach to Biomembrane Dynamics with Application to the Mobility of Curved Integral Membrane Proteins A Naji, PJ Atzberger, FLH Brown Physical review letters 102 (13), 138102, 2009	90	2009
GMLS-Nets: A machine learning framework for unstructured data. NA Trask, RG Patel, B Gross, P Atzberger Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020	61*	2020
Förster resonance energy transfer: Role of diffusion of fluorophore orientation and separation in observed shifts of FRET efficiency B Wallace, PJ Atzberger PLoS One 12 (5), e0177122, 2017	57	2017
Meshfree methods on manifolds for hydrodynamic flows on curved surfaces: A Generalized Moving Least-Squares (GMLS) approach BJ Gross, N Trask, P Kuberry, PJ Atzberger Journal of Computational Physics 409, 109340, 2020	53	2020
Hydrodynamic flows on curved surfaces: Spectral numerical methods for radial manifold shapes BJ Gross, PJ Atzberger Journal of Computational Physics 371, 663-689, 2018	44	2018
Spatially adaptive stochastic numerical methods for intrinsic fluctuations in reaction–diffusion systems PJ Atzberger Journal of Computational Physics 229 (9), 3474-3501, 2010	44	2010
Hydrodynamic coupling of particle inclusions embedded in curved lipid bilayer membranes JK Sigurdsson, PJ Atzberger Soft Matter 12 (32), 6685-6707, 2016	41	2016
Hybrid continuum-particle method for fluctuating lipid bilayer membranes with diffusing protein inclusions JK Sigurdsson, FLH Brown, PJ Atzberger Journal of Computational Physics 252, 65-85, 2013	41	2013
Bayesian inference over the Stiefel manifold via the Givens representation AA Pourzanjani, RM Jiang, B Mitchell, PJ Atzberger, LR Petzold Bayesian Analysis 16 (2), 639-666, 2021	40*	2021
Spectral analysis methods for the robust measurement of the flexural rigidity of biopolymers D Valdman, PJ Atzberger, D Yu, S Kuei, MT Valentine Biophysical journal 102 (5), 1144-1153, 2012	40	2012
Dynamic implicit-solvent coarse-grained models of lipid bilayer membranes: Fluctuating hydrodynamics thermostat Y Wang, JK Sigurdsson, E Brandt, PJ Atzberger Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (2 …, 2013	36	2013
A Brownian dynamics model of kinesin in three dimensions incorporating the force-extension profile of the coiled-coil cargo tether PJ Atzberger, CS Peskin Bulletin of mathematical biology 68, 131-160, 2006	34	2006
Topological methods for polymeric materials: characterizing the relationship between polymer entanglement and viscoelasticity E Panagiotou, KC Millett, PJ Atzberger Polymers 11 (3), 437, 2019	33	2019
Experimental study of the separation behavior of nanoparticles in micro-and nanochannels M Napoli, P Atzberger, S Pennathur Microfluidics and Nanofluidics 10, 69-80, 2011	33	2011
On the foundations of the stochastic immersed boundary method PR Kramer, CS Peskin, PJ Atzberger Computer Methods in Applied Mechanics and Engineering 197 (25-28), 2232-2249, 2008	33	2008

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