| The growth of massive black holes in galaxy merger simulations with feedback by radiation pressure J DeBuhr, E Quataert, CP Ma Monthly Notices of the Royal Astronomical Society 412 (2), 1341-1360, 2011 | 176 | 2011 |
| Galaxy-scale outflows driven by active galactic nuclei J DeBuhr, E Quataert, CP Ma Monthly Notices of the Royal Astronomical Society 420 (3), 2221-2231, 2012 | 154 | 2012 |
| Self-regulated black hole growth via momentum deposition in galaxy merger simulations J DeBuhr, E Quataert, CP Ma, P Hopkins Monthly Notices of the Royal Astronomical Society: Letters 406 (1), L55-L59, 2010 | 128 | 2010 |
| Stellar discs in Aquarius dark matter haloes J DeBuhr, CP Ma, SDM White Monthly Notices of the Royal Astronomical Society 426 (2), 983-999, 2012 | 40 | 2012 |
| Dashmm: Dynamic adaptive system for hierarchical multipole methods J DeBuhr, B Zhang, A Tsueda, V Tilstra-Smith, T Sterling Communications in Computational Physics 20 (4), 1106-1126, 2016 | 14 | 2016 |
| A dynamic execution model applied to distributed collision detection M Anderson, M Brodowicz, L Dalessandro, J DeBuhr, T Sterling Supercomputing: 29th International Conference, ISC 2014, Leipzig, Germany …, 2014 | 13 | 2014 |
| The role of nuclear star clusters in enhancing supermassive black hole feeding rates during galaxy mergers JP Naiman, E Ramirez-Ruiz, J Debuhr, CP Ma The Astrophysical Journal 803 (2), 81, 2015 | 11 | 2015 |
| DASHMM accelerated adaptive fast multipole Poisson-Boltzmann solver on distributed memory architecture B Zhang, J DeBuhr, D Niedzielski, S Mayolo, B Lu, T Sterling GLOBAL SCIENCE PRESS 25 (4), 2019 | 7 | 2019 |
| Relativistic hydrodynamics with wavelets J DeBuhr, B Zhang, M Anderson, D Neilsen, EW Hirschmann, T Grenga, ... The Astrophysical Journal 867 (2), 112, 2018 | 7 | 2018 |
| Revision of DASHMM: Dynamic Adaptive System for Hierarchical Multipole Methods J DeBuhr, B Zhang, T Sterling Communications in Computational Physics 23 (1), 2018 | 2 | 2018 |
| Towards brain-inspired system architectures T Sterling, M Brodowicz, T Gilmanov Brain-Inspired Computing: International Workshop, BrainComp 2013, Cetraro …, 2014 | 2 | 2014 |
| DASHMM accelerated adaptive Fast Multipole Poisson-Boltzmann solver on distributed memory architecture B Zhang, J DeBuhr, D Niedzielski, S Mayolo, B Lu, T Sterling arXiv preprint arXiv:1710.06316, 2017 | 1 | 2017 |
| Scalable hierarchical multipole methods using an asynchronous many-tasking runtime system J DeBuhr, B Zhang, L D’Alessandro 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 1 | 2017 |
| COMPUTATIONAL SOFTWARE J DeBuhr, B Zhang, T Sterling | | 2018 |
| Adaptive wavelets and relativistic magnetohydrodynamics E Hirschmann, D Neilsen, M Anderson, J DeBuhr, B Zhang APS April Meeting Abstracts 2016, C11. 006, 2016 | | 2016 |
| A wavelet approach to binary blackholes with asynchronous multitasking H Lim, E Hirschmann, D Neilsen, M Anderson, J DeBuhr, B Zhang APS April Meeting Abstracts 2016, C11. 005, 2016 | | 2016 |
| Dynamic Adaptive Runtime Systems for Advanced Multipole Method-based Science Achievement J DeBuhr, M Anderson, T Sterling, B Zhang APS April Meeting Abstracts 2015, M5. 002, 2015 | | 2015 |
| Examing the Rayleigh-Taylor instability in GRB outflow using wavelets M Anderson, J DeBuhr, D Neilsen, B Zhang APS April Meeting Abstracts 2015, Y14. 008, 2015 | | 2015 |
| Adaptive Wavelets Methods in Numerical Relativity E Hirschmann, M Anderson, D Neilsen, J Debuhr, B Zhang APS April Meeting Abstracts 2015, K13. 008, 2015 | | 2015 |
| Numerical Models of Galaxy Evolution: Black Hole Feedback and Disk Heating JE DeBuhr UC Berkeley, 2012 | | 2012 |
Bo ZhangEli Lilly and CompanyVerified email at lilly.com
