Network


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

Hotspot


Dive into the research topics where Daniil A. Kitchaev is active.

Publication


Featured researches published by Daniil A. Kitchaev.


Journal of the American Chemical Society | 2017

Thermodynamics of Phase Selection in MnO2 Framework Structures through Alkali Intercalation and Hydration

Daniil A. Kitchaev; Stephen Dacek; Wenhao Sun; Gerbrand Ceder

While control over crystal structure is one of the primary objectives in crystal growth, the present lack of predictive understanding of the mechanisms driving structure selection precludes the predictive synthesis of polymorphic materials. We address the formation of off-stoichiometric intermediates as one such handle driving polymorph selection in the diverse class of MnO2-framework structures. Specifically, we build on the recent benchmark of the SCAN functional for the ab initio modeling of MnO2 to examine the effect of alkali-insertion, protonation, and hydration to derive the thermodynamic conditions favoring the formation of the most common MnO2 phases-β, γ, R, α, δ, and λ-from aqueous solution. We explain the phase selection trends through the geometric and chemical compatibility of the alkali cations and the available phases, the interaction of water with the system, and the critical role of protons. Our results offer both a quantitative synthesis roadmap for this important class of functional oxides, and a description of the various structural phase transformations that may occur in this system.


Proceedings of the National Academy of Sciences of the United States of America | 2011

DNA double-strand breaks induced by high NaCl occur predominantly in gene deserts

Natalia I. Dmitrieva; Kairong Cui; Daniil A. Kitchaev; Keji Zhao; Maurice B. Burg

High concentration of NaCl increases DNA breaks both in cell culture and in vivo. The breaks remain elevated as long as NaCl concentration remains high and are rapidly repaired when the concentration is lowered. The exact nature of the breaks, and their location, has not been entirely clear, and it has not been evident how cells survive, replicate, and maintain genome integrity in environments like the renal inner medulla in which cells are constantly exposed to high NaCl concentration. Repair of the breaks after NaCl is reduced is accompanied by formation of foci containing phosphorylated H2AX (γH2AX), which occurs around DNA double-strand breaks and contributes to their repair. Here, we confirm by specific comet assay and pulsed-field electrophoresis that cells adapted to high NaCl have increased levels of double-strand breaks. Importantly, γH2AX foci that occur during repair of the breaks are nonrandomly distributed in the mouse genome. By chromatin immunoprecipitation using anti-γH2AX antibody, followed by massive parallel sequencing (ChIP-Seq), we find that during repair of double-strand breaks induced by high NaCl, γH2AX is predominantly localized to regions of the genome devoid of genes (“gene deserts”), indicating that the high NaCl-induced double-strand breaks are located there. Localization to gene deserts helps explain why the DNA breaks are less harmful than are the random breaks induced by genotoxic agents such as UV radiation, ionizing radiation, and oxidants. We propose that the universal presence of NaCl around animal cells has directly influenced the evolution of the structure of their genomes.


Nature Communications | 2016

Evaluating structure selection in the hydrothermal growth of FeS2 pyrite and marcasite

Daniil A. Kitchaev; Gerbrand Ceder

While the ab initio prediction of the properties of solids and their optimization towards new proposed materials is becoming established, little predictive theory exists as to which metastable materials can be made and how, impeding their experimental realization. Here we propose a quasi-thermodynamic framework for predicting the hydrothermal synthetic accessibility of metastable materials and apply this model to understanding the phase selection between the pyrite and marcasite polymorphs of FeS2. We demonstrate that phase selection in this system can be explained by the surface stability of the two phases as a function of ambient pH within nano-size regimes relevant to nucleation. This result suggests that a first-principles understanding of nano-size phase stability in realistic synthesis environments can serve to explain or predict the synthetic accessibility of structural polymorphs, providing a guideline to experimental synthesis via efficient computational materials design.


npj Computational Materials | 2018

Efficient first-principles prediction of solid stability: Towards chemical accuracy

Yubo Zhang; Daniil A. Kitchaev; Julia Yang; Tina Chen; Stephen Dacek; Rafael A. Sarmiento-Pérez; Maguel A. L. Marques; Haowei Peng; Gerbrand Ceder; John P. Perdew; Jianwei Sun

The question of material stability is of fundamental importance to any analysis of system properties in condensed matter physics and materials science. The ability to evaluate chemical stability, i.e., whether a stoichiometry will persist in some chemical environment, and structure selection, i.e. what crystal structure a stoichiometry will adopt, is critical to the prediction of materials synthesis, reactivity and properties. Here, we demonstrate that density functional theory, with the recently developed strongly constrained and appropriately normed (SCAN) functional, has advanced to a point where both facets of the stability problem can be reliably and efficiently predicted for main group compounds, while transition metal compounds are improved but remain a challenge. SCAN therefore offers a robust model for a significant portion of the periodic table, presenting an opportunity for the development of novel materials and the study of fine phase transformations even in largely unexplored systems with little to no experimental data.


Nature | 2018

Reversible Mn 2+ /Mn 4+ double redox in lithium-excess cathode materials

Jinhyuk Lee; Daniil A. Kitchaev; Deok-Hwang Kwon; Chang-Wook Lee; Joseph K. Papp; Yi-Sheng Liu; Zhengyan Lun; Raphaële J. Clément; Tan Shi; Bryan D. McCloskey; Jinghua Guo; Mahalingam Balasubramanian; Gerbrand Ceder

There is an urgent need for low-cost, resource-friendly, high-energy-density cathode materials for lithium-ion batteries to satisfy the rapidly increasing need for electrical energy storage. To replace the nickel and cobalt, which are limited resources and are associated with safety problems, in current lithium-ion batteries, high-capacity cathodes based on manganese would be particularly desirable owing to the low cost and high abundance of the metal, and the intrinsic stability of the Mn4+ oxidation state. Here we present a strategy of combining high-valent cations and the partial substitution of fluorine for oxygen in a disordered-rocksalt structure to incorporate the reversible Mn2+/Mn4+ double redox couple into lithium-excess cathode materials. The lithium-rich cathodes thus produced have high capacity and energy density. The use of the Mn2+/Mn4+ redox reduces oxygen redox activity, thereby stabilizing the materials, and opens up new opportunities for the design of high-performance manganese-rich cathodes for advanced lithium-ion batteries.Lithium-rich cathode materials in which manganese undergoes double redox could point the way for lithium-ion batteries to meet the capacity and energy density needs of portable electronics and electric vehicles.


Physical Review B | 2016

Finding and proving the exact ground state of a generalized Ising model by convex optimization and MAX-SAT

Wenxuan Huang; Daniil A. Kitchaev; Stephen Dacek; Ziqin Rong; Alexander Urban; Shan Cao; Chuan Luo; Gerbrand Ceder

This paper was supported primarily by the US Department of Energy (DOE) under Contract No. DE-FG02-96ER45571. In addition, some of the test cases for ground states were supported by the Office of Naval Research under contract N00014-14-1-0444.


Proceedings of the National Academy of Sciences of the United States of America | 2018

Electrochemical trapping of metastable Mn3+ ions for activation of MnO2 oxygen evolution catalysts

Zamyla Chan; Daniil A. Kitchaev; Johanna Nelson Weker; Christoph Schnedermann; Kipil Lim; Gerbrand Ceder; William Tumas; Michael F. Toney; Daniel G. Nocera

Significance Manganese oxide films are desirable oxygen evolution reaction (OER) catalysts due to their stability in acidic solutions and viability as earth-abundant materials. Enhanced catalytic activity of MnO2 incorporated with Mn3+ provides an imperative for understanding the structural and electronic effects giving rise to the superior OER catalysis. We show that (i) Mn3+ is stabilized kinetically in tetrahedral sites and (ii) its presence strains the oxide lattice, leading to a favorable disposition of oxide-based vs. metal-based energy levels that favors enhanced OER activity. The results herein offer a design concept of exploiting ion-induced lattice strain for creating superior metal oxide OER catalysts. Electrodeposited manganese oxide films are promising catalysts for promoting the oxygen evolution reaction (OER), especially in acidic solutions. The activity of these catalysts is known to be enhanced by the introduction of Mn3+. We present in situ electrochemical and X-ray absorption spectroscopic studies, which reveal that Mn3+ may be introduced into MnO2 by an electrochemically induced comproportionation reaction with Mn2+ and that Mn3+ persists in OER active films. Extended X-ray absorption fine structure (EXAFS) spectra of the Mn3+-activated films indicate a decrease in the Mn–O coordination number, and Raman microspectroscopy reveals the presence of distorted Mn–O environments. Computational studies show that Mn3+ is kinetically trapped in tetrahedral sites and in a fully oxidized structure, consistent with the reduction of coordination number observed in EXAFS. Although in a reduced state, computation shows that Mn3+ states are stabilized relative to those of oxygen and that the highest occupied molecular orbital (HOMO) is thus dominated by oxygen states. Furthermore, the Mn3+(Td) induces local strain on the oxide sublattice as observed in Raman spectra and results in a reduced gap between the HOMO and the lowest unoccupied molecular orbital (LUMO). The confluence of a reduced HOMO–LUMO gap and oxygen-based HOMO results in the facilitation of OER on the application of anodic potentials to the δ-MnO2 polymorph incorporating Mn3+ ions.


Journal of Chemical Physics | 2016

An efficient algorithm for finding the minimum energy path for cation migration in ionic materials.

Ziqin Rong; Daniil A. Kitchaev; Pieremanuele Canepa; Wenxuan Huang; Gerbrand Ceder

The Nudged Elastic Band (NEB) is an established method for finding minimum-energy paths and energy barriers of ion migration in materials, but has been hampered in its general application by its significant computational expense when coupled with density functional theory (DFT) calculations. Typically, an NEB calculation is initialized from a linear interpolation of successive intermediate structures (also known as images) between known initial and final states. However, the linear interpolation introduces two problems: (1) slow convergence of the calculation, particularly in cases where the final path exhibits notable curvature; (2) divergence of the NEB calculations if any intermediate image comes too close to a non-diffusing species, causing instabilities in the ensuing calculation. In this work, we propose a new scheme to accelerate NEB calculations through an improved path initialization and associated energy estimation workflow. We demonstrate that for cation migration in an ionic framework, initializing the diffusion path as the minimum energy path through a static potential built upon the DFT charge density reproduces the true NEB path within a 0.2 Å deviation and yields up to a 25% improvement in typical NEB runtimes. Furthermore, we find that the locally relaxed energy barrier derived from this initialization yields a good approximation of the NEB barrier, with errors within 20 meV of the true NEB value, while reducing computational expense by up to a factor of 5. Finally, and of critical importance for the automation of migration path calculations in high-throughput studies, we find that the new approach significantly enhances the stability of the calculation by avoiding unphysical image initialization. Our algorithm promises to enable efficient calculations of diffusion pathways, resolving a long-standing obstacle to the computational screening of intercalation compounds for Li-ion and multivalent batteries.


Journal of the American Chemical Society | 2018

Revealing and Rationalizing the Rich Polytypism of Todorokite MnO2

Xiaobing Hu; Daniil A. Kitchaev; Lijun Wu; Bingjie Zhang; Qingping Meng; Altug S. Poyraz; Amy C. Marschilok; Esther S. Takeuchi; Kenneth J. Takeuchi; Gerbrand Ceder; Yimei Zhu

Polytypism, or stacking disorder, in crystals is an important structural aspect that can impact materials properties and hinder our understanding of the materials. One example of a polytypic system is todorokite-MnO2, which has a unique structure among the transition-metal oxides, with large ionic conductive channels formed by the metal oxide framework that can be utilized for potential functionalization, from molecular/ion sieving to charge storage. In contrast to the perceived 3 × 3 tunneled structure, we reveal a coexistence of a diverse array of tunnel sizes in well-crystallized, chemically homogeneous one-dimensional todorokite-MnO2. We explain the formation and persistence of this distribution of tunnel sizes thermochemically, demonstrating the stabilization of a range of coherent large-tunnel environments by the intercalation of partially solvated Mg2+ cations. Based on structural behavior of the system, compared to the common well-ordered alkali-stabilized polymorphs of MnO2, we suggest generalizable principles determining the selectivity of structure selection by dopant incorporation.


Scientific Reports | 2017

High-fraction brookite films from amorphous precursors

James Haggerty; Laura T. Schelhas; Daniil A. Kitchaev; John Mangum; Lauren M. Garten; Wenhao Sun; Kevin H. Stone; John D. Perkins; Michael F. Toney; Gerbrand Ceder; David S. Ginley; Brian P. Gorman; Janet Tate

Structure-specific synthesis processes are of key importance to the growth of polymorphic functional compounds such as TiO2, where material properties strongly depend on structure as well as chemistry. The robust growth of the brookite polymorph of TiO2, a promising photocatalyst, has been difficult in both powder and thin-film forms due to the disparity of reported synthesis techniques, their highly specific nature, and lack of mechanistic understanding. In this work, we report the growth of high-fraction (~95%) brookite thin films prepared by annealing amorphous titania precursor films deposited by pulsed laser deposition. We characterize the crystallization process, eliminating the previously suggested roles of substrate templating and Na helper ions in driving brookite formation. Instead, we link phase selection directly to film thickness, offering a novel, generalizable route to brookite growth that does not rely on the presence of extraneous elements or particular lattice-matched substrates. In addition to providing a new synthesis route to brookite thin films, our results take a step towards resolving the problem of phase selection in TiO2 growth, contributing to the further development of this promising functional material.

Collaboration


Dive into the Daniil A. Kitchaev's collaboration.

Top Co-Authors

Avatar

Gerbrand Ceder

University of California

View shared research outputs
Top Co-Authors

Avatar

Stephen Dacek

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Michael F. Toney

SLAC National Accelerator Laboratory

View shared research outputs
Top Co-Authors

Avatar

Wenhao Sun

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Wenxuan Huang

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Anubhav Jain

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge