Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where David A. Strubbe is active.

Publication


Featured researches published by David A. Strubbe.


Computer Physics Communications | 2012

BerkeleyGW: A massively parallel computer package for the calculation of the quasiparticle and optical properties of materials and nanostructures☆

Jack Deslippe; Georgy Samsonidze; David A. Strubbe; Manish Jain; Marvin L. Cohen; Steven G. Louie

Abstract BerkeleyGW is a massively parallel computational package for electron excited-state properties that is based on the many-body perturbation theory employing the ab initio GW and GW plus Bethe–Salpeter equation methodology. It can be used in conjunction with many density-functional theory codes for ground-state properties, including PARATEC , PARSEC , Quantum ESPRESSO , SIESTA , and Octopus . The package can be used to compute the electronic and optical properties of a wide variety of material systems from bulk semiconductors and metals to nanostructured materials and molecules. The package scales to 10 000s of CPUs and can be used to study systems containing up to 100s of atoms. Program summary Program title: BerkeleyGW Catalogue identifier: AELG_v1_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AELG_v1_0.html Program obtainable from: CPC Program Library, Queenʼs University, Belfast, N. Ireland Licensing provisions: Open source BSD License. See code for licensing details. No. of lines in distributed program, including test data, etc.: 576 540 No. of bytes in distributed program, including test data, etc.: 110 608 809 Distribution format: tar.gz Programming language: Fortran 90, C, C++, Python, Perl, BASH Computer: Linux/UNIX workstations or clusters Operating system: Tested on a variety of Linux distributions in parallel and serial as well as AIX and Mac OSX RAM: (50–2000) MB per CPU (Highly dependent on system size) Classification: 7.2, 7.3, 16.2, 18 External routines: BLAS, LAPACK, FFTW, ScaLAPACK (optional), MPI (optional). All available under open-source licenses. Nature of problem: The excited state properties of materials involve the addition or subtraction of electrons as well as the optical excitations of electron–hole pairs. The excited particles interact strongly with other electrons in a material system. This interaction affects the electronic energies, wavefunctions and lifetimes. It is well known that ground-state theories, such as standard methods based on density-functional theory, fail to correctly capture this physics. Solution method: We construct and solve the Dysonʼs equation for the quasiparticle energies and wavefunctions within the GW approximation for the electron self-energy. We additionally construct and solve the Bethe–Salpeter equation for the correlated electron–hole (exciton) wavefunctions and excitation energies. Restrictions: The material size is limited in practice by the computational resources available. Materials with up to 500 atoms per periodic cell can be studied on large HPCs. Additional comments: The distribution file for this program is approximately 110 Mbytes and therefore is not delivered directly when download or E-mail is requested. Instead a html file giving details of how the program can be obtained is sent. Running time: 1–1000 minutes (depending greatly on system size and processor number).


Journal of Physics: Condensed Matter | 2012

Time-dependent density-functional theory in massively parallel computer architectures: the octopus project

Xavier Andrade; Joseba Alberdi-Rodriguez; David A. Strubbe; Micael J. T. Oliveira; Fernando Nogueira; Alberto Castro; Javier Muguerza; Agustin Arruabarrena; Steven G. Louie; Alán Aspuru-Guzik; Angel Rubio; Miguel A. L. Marques

Octopus is a general-purpose density-functional theory (DFT) code, with a particular emphasis on the time-dependent version of DFT (TDDFT). In this paper we present the ongoing efforts to achieve the parallelization of octopus. We focus on the real-time variant of TDDFT, where the time-dependent Kohn-Sham equations are directly propagated in time. This approach has great potential for execution in massively parallel systems such as modern supercomputers with thousands of processors and graphics processing units (GPUs). For harvesting the potential of conventional supercomputers, the main strategy is a multi-level parallelization scheme that combines the inherent scalability of real-time TDDFT with a real-space grid domain-partitioning approach. A scalable Poisson solver is critical for the efficiency of this scheme. For GPUs, we show how using blocks of Kohn-Sham states provides the required level of data parallelism and that this strategy is also applicable for code optimization on standard processors. Our results show that real-time TDDFT, as implemented in octopus, can be the method of choice for studying the excited states of large molecular systems in modern parallel architectures.


Physical Chemistry Chemical Physics | 2015

Real-space grids and the Octopus code as tools for the development of new simulation approaches for electronic systems

Xavier Andrade; David A. Strubbe; Umberto De Giovannini; Ask Hjorth Larsen; Micael J. T. Oliveira; Joseba Alberdi-Rodriguez; Alejandro Varas; Iris Theophilou; N. Helbig; Matthieu Verstraete; Lorenzo Stella; Fernando Nogueira; Alán Aspuru-Guzik; Alberto Castro; Miguel A. L. Marques; Angel Rubio

Real-space grids are a powerful alternative for the simulation of electronic systems. One of the main advantages of the approach is the flexibility and simplicity of working directly in real space where the different fields are discretized on a grid, combined with competitive numerical performance and great potential for parallelization. These properties constitute a great advantage at the time of implementing and testing new physical models. Based on our experience with the Octopus code, in this article we discuss how the real-space approach has allowed for the recent development of new ideas for the simulation of electronic systems. Among these applications are approaches to calculate response properties, modeling of photoemission, optimal control of quantum systems, simulation of plasmonic systems, and the exact solution of the Schrödinger equation for low-dimensionality systems.


Physical Review B | 2016

Temperature-dependent thermal conductivity in silicon nanostructured materials studied by the Boltzmann transport equation

Giuseppe Romano; Keivan Esfarjani; David A. Strubbe; David Broido; Alexie M. Kolpak

Author(s): Romano, Giuseppe; Esfarjani, Keivan; Strubbe, David A; Broido, David; Kolpak, Alexie M | Abstract: Nanostructured materials exhibit low thermal conductivity because of the additional scattering due to phonon-boundary interactions. As these interactions are highly sensitive to the mean free path (MFP) of a given phonon mode, MFP distributions in nanostructures can be dramatically distorted relative to bulk. Here we calculate the MFP distribution in periodic nanoporous Si for different temperatures, using the recently developed MFP-dependent Boltzmann Transport Equation. After analyzing the relative contribution of each phonon branch to thermal transport in nanoporous Si, we find that at room temperature optical phonons contribute 18 % to heat transport, compared to 5% in bulk Si. Interestingly, we observe a steady thermal conductivity in the nanoporous materials over a temperature range 200 K l T l 300 K, which we attribute to the ballistic transport of acoustic phonons with long intrinsic MFP. These results, which are also consistent with a recent experimental study, shed light on the origin of the reduction of thermal conductivity in nanostructured materials, and could contribute to multiscale heat transport engineering, in which the bulk material and geometry are optimized concurrently.


Archive | 2012

Response functions in TDDFT: Concepts and implementation

David A. Strubbe; Lauri Lehtovaara; Angel Rubio; Miguel A. L. Marques; Steven G. Louie

Many physical properties of interest about solids and molecules can be considered as the reaction of the system to an external perturbation, and can be expressed in terms of response functions, in time or frequency and in real or reciprocal space. Response functions in TDDFT can be calculated by a variety of methods.


Physical Review B | 2015

Stress effects on the Raman spectrum of an amorphous material: Theory and experiment on a-Si:H

David A. Strubbe; Eric Johlin; Timothy R. Kirkpatrick; Tonio Buonassisi; Jeffrey C. Grossman

Strain in a material induces shifts in vibrational frequencies. This phenomenon is a probe of the nature of the vibrations and interatomic potentials and can be used to map local stress/strain distributions via Raman microscopy. This method is standard for crystalline silicon devices, but due to the lack of calibration relations, it has not been applied to amorphous materials such as hydrogenated amorphous silicon


Physical Review Letters | 2007

Reversible photomechanical switching of individual engineered molecules at a metallic surface

Matthew J. Comstock; Niv Levy; Armen Kirakosian; Jongweon Cho; Frank Lauterwasser; Jessica H. Harvey; David A. Strubbe; Jean M. J. Fréchet; Dirk Trauner; Steven G. Louie; Michael F. Crommie

(a


Physical Review Letters | 2010

Determination of photoswitching dynamics through chiral mapping of single molecules using a scanning tunneling microscope.

Matthew J. Comstock; David A. Strubbe; Luis Berbil-Bautista; Niv Levy; Jongweon Cho; Daniel A. Poulsen; Jean M. J. Fréchet; Steven G. Louie; Michael F. Crommie

-Si:H), a widely studied material for thin-film photovoltaic and electronic devices. We calculated the Raman spectrum of


Archive | 2012

Optical and Transport Properties of Organic Molecules: Methods and Applications

David A. Strubbe

a


Advanced Functional Materials | 2015

Functionalized Graphene Superlattice as a Single-Sheet Solar Cell

Huashan Li; David A. Strubbe; Jeffrey C. Grossman

-Si:H ab initio under different strains

Collaboration


Dive into the David A. Strubbe's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jeffrey C. Grossman

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jongweon Cho

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Michael F. Crommie

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Niv Levy

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge