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Dive into the research topics where Samia M. Hamed is active.

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Featured researches published by Samia M. Hamed.


Journal of Chemical Physics | 2015

A systematic benchmark of the ab initio Bethe-Salpeter equation approach for low-lying optical excitations of small organic molecules

Fabien Bruneval; Samia M. Hamed; Jeffrey B. Neaton

The predictive power of the ab initio Bethe-Salpeter equation (BSE) approach, rigorously based on many-body Greens function theory but incorporating information from density functional theory, has already been demonstrated for the optical gaps and spectra of solid-state systems. Interest in photoactive hybrid organic/inorganic systems has recently increased and so has the use of the BSE for computing neutral excitations of organic molecules. However, no systematic benchmarks of the BSE for neutral electronic excitations of organic molecules exist. Here, we study the performance of the BSE for the 28 small molecules in Thiels widely used time-dependent density functional theory benchmark set [Schreiber et al., J. Chem. Phys. 128, 134110 (2008)]. We observe that the BSE produces results that depend critically on the mean-field starting point employed in the perturbative approach. We find that this starting point dependence is mainly introduced through the quasiparticle energies obtained at the intermediate GW step and that with a judicious choice of starting mean-field, singlet excitation energies obtained from BSE are in excellent quantitative agreement with higher-level wavefunction methods. The quality of the triplet excitations is slightly less satisfactory.


Journal of Chemical Theory and Computation | 2016

Evaluating the GW Approximation with CCSD(T) for Charged Excitations Across the Oligoacenes

Tonatiuh Rangel; Samia M. Hamed; Fabien Bruneval; Jeffrey B. Neaton

Charged excitations of the oligoacene family of molecules, relevant for astrophysics and technological applications, are widely studied and therefore provide an excellent system for benchmarking theoretical methods. In this work, we evaluate the performance of many-body perturbation theory within the GW approximation relative to new high-quality CCSD(T) reference data for charged excitations of the acenes. We compare GW calculations with a number of hybrid density functional theory starting points and with eigenvalue self-consistency. Special focus is given to elucidating the trend of GW-predicted excitations with molecule length increasing from benzene to hexacene. We find that GW calculations with starting points based on an optimally tuned range-separated hybrid (OTRSH) density functional and eigenvalue self-consistency can yield quantitative ionization potentials for the acenes. However, for larger acenes, the predicted electron affinities can deviate considerably from reference values. Our work paves the way for predictive and cost-effective GW calculations of charged excitations of molecules and identifies certain limitations of current GW methods used in practice for larger molecules.


Journal of Chemical Physics | 2017

An assessment of low-lying excitation energies and triplet instabilities of organic molecules with an ab initio Bethe-Salpeter equation approach and the Tamm-Dancoff approximation

Tonatiuh Rangel; Samia M. Hamed; Fabien Bruneval; Jeffrey B. Neaton

The accurate prediction of singlet and triplet excitation energies is an area of intense research of significant fundamental interest and critical for many applications. Most calculations of singlet and triplet energies use time-dependent density functional theory (TDDFT) in conjunction with an approximate exchange-correlation functional. In this work, we examine and critically assess an alternative method for predicting low-lying neutral excitations with similar computational cost, the ab initio Bethe-Salpeter equation (BSE) approach, and compare results against high-accuracy wavefunction-based methods. We consider singlet and triplet excitations of 27 prototypical organic molecules, including members of Thiels set, the acene series, and several aromatic hydrocarbons exhibiting charge-transfer-like excitations. Analogous to its impact in TDDFT, we find that the Tamm-Dancoff approximation (TDA) overcomes triplet instabilities in the BSE approach, improving both triplet and singlet energetics relative to higher level theories. Finally, we find that BSE-TDA calculations built on effective DFT starting points, such as those utilizing optimally tuned range-separated hybrid functionals, can yield accurate singlet and triplet excitation energies for gas-phase organic molecules.


Nature Materials | 2018

Electron delocalization and charge mobility as a function of reduction in a metal–organic framework

Michael L. Aubrey; Brian M. Wiers; Sean C. Andrews; Tsuneaki Sakurai; Sebastian E. Reyes-Lillo; Samia M. Hamed; Chung Jui Yu; Lucy E. Darago; Jarad A. Mason; Jin Ook Baeg; Fernande Grandjean; Gary J. Long; Shu Seki; Jeffrey B. Neaton; Peidong Yang; Jeffrey R. Long

Conductive metal–organic frameworks are an emerging class of three-dimensional architectures with degrees of modularity, synthetic flexibility and structural predictability that are unprecedented in other porous materials. However, engendering long-range charge delocalization and establishing synthetic strategies that are broadly applicable to the diverse range of structures encountered for this class of materials remain challenging. Here, we report the synthesis of KxFe2(BDP)3 (0 ≤ x ≤ 2; BDP2− = 1,4-benzenedipyrazolate), which exhibits full charge delocalization within the parent framework and charge mobilities comparable to technologically relevant polymers and ceramics. Through a battery of spectroscopic methods, computational techniques and single-microcrystal field-effect transistor measurements, we demonstrate that fractional reduction of Fe2(BDP)3 results in a metal–organic framework that displays a nearly 10,000-fold enhancement in conductivity along a single crystallographic axis. The attainment of such properties in a KxFe2(BDP)3 field-effect transistor represents the realization of a general synthetic strategy for the creation of new porous conductor-based devices.A conducting metal–organic framework with charge delocalization by reductive potassium insertion is demonstrated. Integration into a field-effect transistor shows similar mobilities to semiconductors, with a mobility estimated to be at least 0.84 cm2 V–1 s–1.


Journal of the American Chemical Society | 2018

Exploiting Chromophore–Protein Interactions through Linker Engineering To Tune Photoinduced Dynamics in a Biomimetic Light-Harvesting Platform

Milan Delor; Jing Dai; Trevor D. Roberts; Julia R. Rogers; Samia M. Hamed; Jeffrey B. Neaton; Phillip L. Geissler; Matthew B. Francis; Naomi S. Ginsberg

Creating artificial systems that mimic and surpass those found in nature is one of the great challenges of modern science. In the context of photosynthetic light harvesting, the difficulty lies in attaining utmost control over the energetics, positions and relative orientations of chromophores in densely packed arrays to transfer electronic excitation energy to desired locations with high efficiency. Toward achieving this goal, we use a highly versatile biomimetic protein scaffold from the tobacco mosaic virus coat protein on which chromophores can be attached at precise locations via linkers of differing lengths and rigidities. We show that minor linker modifications, including switching chiral configurations and alkyl chain shortening, lead to significant lengthening of the ultrafast excited state dynamics of the system as the linkers are shortened and rigidified. Molecular dynamics simulations provide molecular-level detail over how the chromophore attachment orientations, positions, and distances from the protein surface lead to the observed trends in system dynamics. In particular, we find that short and rigid linkers are able to sandwich water molecules between chromophore and protein, leading to chromophore-water-protein supracomplexes with intricately coupled dynamics that are highly dependent on their local protein environment. In addition, cyclohexyl-based linkers are identified as ideal candidates to retain rotational correlations over several nanoseconds and thus lock relative chromophore orientations throughout the lifetime of an exciton. Combining linker engineering with judicious placement of chromophores on the hydrated protein scaffold to exploit different chromophore-bath couplings provides a clear and effective path to producing highly controllable artificial light-harvesting systems that can increasingly mimic their natural counterparts, thus aiding to elucidate natural photosynthetic mechanisms.


Computer Physics Communications | 2016

MOLGW 1: Many-body perturbation theory software for atoms, molecules, and clusters

Fabien Bruneval; Tonatiuh Rangel; Samia M. Hamed; Meiyue Shao; Chao Yang; Jeffrey B. Neaton


Nature Photonics | 2018

Enrichment of molecular antenna triplets amplifies upconverting nanoparticle emission

David J. Garfield; Nicholas J. Borys; Samia M. Hamed; Nicole A. Torquato; Cheryl A. Tajon; Bining Tian; Brian Shevitski; Edward S. Barnard; Yung Doug Suh; Shaul Aloni; Jeffrey B. Neaton; Emory M. Chan; Bruce E. Cohen; P. James Schuck


Bulletin of the American Physical Society | 2018

Understanding excited-states of light-harvesting chromophores with ab initio many-body perturbation theory

Samia M. Hamed; Milan Delor; Fabien Bruneval; Naomi S. Ginsberg; Jeffrey B. Neaton


Bulletin of the American Physical Society | 2017

Application of ab initio many-body perturbation theory with Gaussian basis sets to the singlet and triplet excitations of organic molecules

Samia M. Hamed; Tonatiuh Rangel; Fabien Bruneval; Jeffrey B. Neaton


Bulletin of the American Physical Society | 2016

Objective performance of the GW approximation and the Bethe-Salpeter Equation for molecules

Fabien Bruneval; Samia M. Hamed; Tonatiuh Rangel-Gordillo; Jeffrey B. Neaton

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Tonatiuh Rangel

Lawrence Berkeley National Laboratory

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Milan Delor

University of Sheffield

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Bining Tian

Lawrence Berkeley National Laboratory

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Brian M. Wiers

University of California

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Brian Shevitski

Lawrence Berkeley National Laboratory

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