Jeff R. Hammond, PhD

2009-2014 Leadership Computing Facility Argonne National Laboratory, Lemont, IL, United States 
 2014-2021 Data Center Group Intel Corporation, Santa Clara, CA, United States 
 2021- Accelerated Computing NVIDIA 
quantum chemistry, computer science
"Jeff Hammond"
Mean distance: 8.42


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Weston T. Borden research assistant 2002-2003 University of Washington
Karol Kowalski grad student 2006-2009 PNNL
Karl F. Freed grad student 2007-2009 Chicago
 (Coupled-cluster response theory: Parallel algorithms and novel applications.)
Raymond Bair post-doc 2009-2011 Argonne National Laboratory


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Eric Jon Bylaska collaborator 2009-
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Mejia-Rodriguez D, Aprà E, Autschbach J, et al. (2023) NWChem: Recent and Ongoing Developments. Journal of Chemical Theory and Computation
Aprà E, Bylaska EJ, de Jong WA, et al. (2020) NWChem: Past, present, and future. The Journal of Chemical Physics. 152: 184102
Si M, Pena AJ, Hammond J, et al. (2018) Dynamic Adaptable Asynchronous Progress Model for MPI RMA Multiphase Applications Ieee Transactions On Parallel and Distributed Systems. 29: 1975-1989
Peng B, Govind N, Aprà E, et al. (2017) Coupled Cluster Studies of Ionization Potentials and Electron Affinities of Single Walled Carbon Nanotubes. The Journal of Physical Chemistry. A
Hu HS, Zhao YF, Hammond JR, et al. (2016) Theoretical studies of the global minima and polarizabilities of small lithium clusters Chemical Physics Letters. 644: 235-242
Chow E, Liu X, Smelyanskiy M, et al. (2015) Parallel scalability of Hartree-Fock calculations. The Journal of Chemical Physics. 142: 104103
Solomonik E, Matthews D, Hammond JR, et al. (2014) A massively parallel tensor contraction framework for coupled-cluster computations Journal of Parallel and Distributed Computing. 74: 3176-3190
Vázquez-Mayagoitia Á, Thornton WS, Hammond JR, et al. (2014) Quantum chemistry methods with multiwavelet bases on massive parallel computers Annual Reports in Computational Chemistry. 10: 3-24
Aprà E, Kowalski K, Hammond JR, et al. (2014) NWChem: Quantum Chemistry Simulations at Scale. High Performance Parallelism Pearls: Multicore and Many-Core Programming Approaches. 287-306
Poulson J, Marker B, Van De Geijn RA, et al. (2013) Elemental: A new framework for distributed memory dense matrix computations Acm Transactions On Mathematical Software. 39
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