4.6 Article

Computational Raman spectroscopy of organometallic reaction products in lithium and sodium-based battery systems

期刊

PHYSICAL CHEMISTRY CHEMICAL PHYSICS
卷 16, 期 44, 页码 24549-24558

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c4cp03998j

关键词

-

向作者/读者索取更多资源

A common approach to understanding surface reaction mechanisms in rechargeable lithium-based battery systems involves spectroscopic characterization of the product mixtures and matching of spectroscopic features to spectra of pure candidate reference compounds. This strategy, however, requires separate chemical synthesis and accurate characterization of potential reference compounds. It also assumes that atomic structures are the same in the actual product mixture as in the reference samples. We propose an alternative approach that uses first-principles computations of spectra of the possible reaction products and by-products present in advanced battery systems. We construct a library of computed Raman spectra for possible products, achieving excellent agreement with reference experimental data, targeting solid-electrolyte interphase in Li-ion cells and discharge products of Li-air cells. However, the solid-state crystalline structure of Li(Na) metal-organic compounds is often not known, making the spectra computations difficult. We develop and apply a novel technique of simplifying spectra calculations by using dimer-like representations of the solid state structures. On the basis of a systematic investigation, we demonstrate that molecular dimers of Li(Na)-based organometallic material provide relevant information about the vibrational properties of many possible solid reaction products. Such an approach should serve as a basis to extend existing spectral libraries of molecular structures relevant for understanding the link between atomic structures and measured spectroscopic data of materials in novel battery systems.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Chemistry, Physical

Understanding Relationships between Free Volume and Oxygen Absorption in Ionic Liquids

Malia B. Wenny, Nicola Molinari, Adam H. Slavney, Surendra Thapa, Byeongdu Lee, Boris Kozinsky, Jarad A. Mason

Summary: Understanding the factors that govern gas absorption in ionic liquids is crucial for developing high-capacity solvents. Experimental probes and molecular dynamics simulations reveal the relationship between liquid structure and gas absorption properties, providing guidance for designing ionic liquids with high gas solubilities.

JOURNAL OF PHYSICAL CHEMISTRY B (2022)

Article Multidisciplinary Sciences

Decoding reactive structures in dilute alloy catalysts

Nicholas Marcella, Jin Soo Lim, Anna M. Plonka, George Yan, Cameron J. Owen, Jessi E. S. van der Hoeven, Alexandre C. Foucher, Hio Tong Ngan, Steven B. Torrisi, Nebojsa S. Marinkovic, Eric A. Stach, Jason F. Weaver, Joanna Aizenberg, Philippe Sautet, Boris Kozinsky, Anatoly Frenkel

Summary: Rational catalyst design is crucial for energy-efficient and sustainable catalytic processes. This study combines X-ray absorption spectroscopy, activity studies, and kinetic modeling to understand the mechanism of catalytic reactions in dilute bimetallic catalysts. The results show that surface Pd ensembles containing a few Pd atoms are the active species, and the catalytic activity can be tuned by controlling the ensemble size.

NATURE COMMUNICATIONS (2022)

Article Chemistry, Physical

Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events

Lixin Sun, Jonathan Vandermause, Simon Batzner, Yu Xie, David Clark, Wei Chen, Boris Kozinsky

Summary: This study presents a data-driven machine learning algorithm that accurately computes reaction rates. By learning collective variables and a low-dimensional latent space, it effectively captures the reaction progress and obtains accurate free energy landscapes.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2022)

Article Multidisciplinary Sciences

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Simon Batzner, Albert Musaelian, Lixin Sun, Mario Geiger, Jonathan P. Mailoa, Mordechai Kornbluth, Nicola Molinari, Tess E. Smidt, Boris Kozinsky

Summary: This paper introduces an E(3)-equivariant deep learning method for accelerating molecular dynamics simulations. The method shows state-of-the-art accuracy and remarkable sample efficiency in faithfully describing the dynamics of complex systems. The Neural Equivariant Interatomic Potentials (NequIP) approach employs E(3)-equivariant convolutions to interact with geometric tensors, resulting in a more information-rich and faithful representation of atomic environments. NequIP outperforms existing models with significantly fewer training data, challenging the commonly held belief about the necessity of massive training sets for deep neural networks.

NATURE COMMUNICATIONS (2022)

Article Chemistry, Multidisciplinary

Anomalous Thermoelectric Transport Phenomena from First-Principles Computations of Interband Electron-Phonon Scattering

Natalya S. Fedorova, Andrea Cepellotti, Boris Kozinsky

Summary: This study uncovers a new phenomenon where the electrical conductivity decreases with carrier concentration, the Seebeck coefficient reverses sign even at high doping, and the power factor exhibits an unusual second peak in materials with multiple bands crossing near the Fermi level. The origin and magnitude of this effect are explained, and general design rules for enhancing performance in thermoelectric materials are identified.

ADVANCED FUNCTIONAL MATERIALS (2022)

Article Chemistry, Multidisciplinary

Dynamical Study of Adsorbate-Induced Restructuring Kinetics in Bimetallic Catalysts Using the PdAu(111) Model System

Chen Zhou, Hio Tong Ngan, Jin Soo Lim, Zubin Darbari, Adrian Lewandowski, Dario J. Stacchiola, Boris Kozinsky, Philippe Sautet, Jorge Anibal Boscoboinik

Summary: Dynamic restructuring of bimetallic catalysts is crucial for their catalytic activity and selectivity. The authors use CO as a probe and agent to induce surface restructuring in Pd/Au(111) catalysts, uncovering the kinetics and timescale of in situ restructuring. This minute-timescale dynamics provides insights into the fluxional nature of alloy catalysts and the opportunity for surface fine-tuning under moderate conditions.

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2022)

Article Chemistry, Physical

Atomic-Scale STEM Analysis Shows Structural Changes of Au-Pd Nanoparticles in Various Gaseous Environments

Alexandre C. Foucher, Cameron J. Owen, Tanya Shirman, Joanna Aizenberg, Boris Kozinsky, Eric A. Stach

Summary: The dynamical restructuring effects of freestanding Au0.75Pd0.25 nanoparticles in gaseous environments at elevated temperatures were reported. The composition and morphology of the nanoparticles were studied under exposure to different pure gases at various temperatures. The in situ observations showed that gases could induce subtle modification of the surface of nanocatalysts, potentially impacting their chemical properties.

JOURNAL OF PHYSICAL CHEMISTRY C (2022)

Article Multidisciplinary Sciences

Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt

Jonathan Vandermause, Yu Xie, Jin Soo Lim, Cameron J. Owen, Boris Kozinsky

Summary: This article describes a Bayesian active learning framework for atomistic modeling of chemically reactive systems. The method enables autonomous on-the-fly training of fast and accurate reactive many-body force fields during molecular dynamics simulations, and automatically determines whether additional training data are needed.

NATURE COMMUNICATIONS (2022)

Article Multidisciplinary Sciences

Learning local equivariant representations for large-scale atomistic dynamics

Albert Musaelian, Simon Batzner, Anders Johansson, Lixin Sun, Cameron J. Owen, Mordechai Kornbluth, Boris Kozinsky

Summary: This study introduces Allegro, a local equivariant deep neural network interatomic potential architecture that achieves excellent accuracy and scalability in quantum chemistry and molecular simulations.

NATURE COMMUNICATIONS (2023)

Article Chemistry, Multidisciplinary

Synthesis and Characterization of Stable Cu-Pt Nanoparticles under Reductive and Oxidative Conditions

Alexandre C. Foucher, Shengsong Yang, Daniel J. Rosen, Renjing Huang, Jun Beom Pyo, Ohhun Kwon, Cameron J. Owen, Dario Ferreira Sanchez, Ilia I. Sadykov, Daniel Grolimund, Boris Kozinsky, Anatoly I. Frenkel, Raymond J. Gorte, Christopher B. Murray, Eric A. Stach

Summary: We developed a method to synthesize highly mono-disperse Cu-Pt alloy nanoparticles. These nanoparticles exhibited stability under redox conditions and displayed promising activity and stability for CO oxidation. The incorporation of Pt with Cu did not lead to rapid deactivation and degradation of the material as seen with other bimetallic systems. This work provides a synthesis route to control the design of Cu-Pt nanostructures and highlights the potential of these alloys for heterogeneous catalysis.

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2023)

Article Chemistry, Physical

Uncertainty-aware molecular dynamics from Bayesian active learning for phase transformations and thermal transport in SiC

Yu Xie, Jonathan Vandermause, Senja Ramakers, Nakib H. Protik, Anders Johansson, Boris Kozinsky

Summary: Machine learning interatomic force fields combine computational efficiency and accuracy in modeling quantum interactions and simulating atomistic dynamics. Bayesian active learning is a promising approach for efficient training of force fields. This study presents a general Bayesian active learning workflow that utilizes sparse Gaussian process regression and a high-performance approximate mapping to speed up the uncertainty calculation. The resulting model accurately captures pressure-induced phase transformations and outperforms existing models on vibrational and thermal properties. The active learning workflow can be applied to various material systems and accelerates computational understanding.

NPJ COMPUTATIONAL MATERIALS (2023)

Article Multidisciplinary Sciences

Flexible fluid- based encapsulation platform for water-sensitive materials

Baptiste Lemaire, Yanhao Yu, Nicola Molinari, Haichao Wu, Zachary A. H. Goodwin, Friedrich Stricker, Boris Kozinsky, Joanna Aizenberg

Summary: The bioinspired liquid-based encapsulation strategy provides effective water protection, mechanical flexibility, durability, transparency, and self-cleaning for next-generation semiconductors and devices such as halide perovskites.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2023)

Review Physics, Applied

Advancing molecular simulation with equivariant interatomic potentials

Simon Batzner, Albert Musaelian, Boris Kozinsky

Summary: Deep learning has potential in accelerating atomistic simulations, but current models lack robustness, sample efficiency, and accuracy. Simon Batzner, Albert Musaelian, and Boris Kozinsky outline how leveraging the symmetry of Euclidean space can address these challenges.

NATURE REVIEWS PHYSICS (2023)

Article Materials Science, Multidisciplinary

Phoebe: a high-performance framework for solving phonon and electron Boltzmann transport equations

Andrea Cepellotti, Jennifer Coulter, Anders Johansson, Natalya S. Fedorova, Boris Kozinsky

Summary: Understanding the electrical and thermal transport properties of materials is crucial for designing electronics, sensors, and energy conversion devices. This paper presents Phoebe, a software package that accurately predicts material properties by considering the effects of electron-phonon, phonon-phonon, boundary, and isotope scattering. Phoebe utilizes various methods and approximations to effectively compute electrical and thermal transport properties, making it a valuable tool for accelerated analysis of complex crystals.

JOURNAL OF PHYSICS-MATERIALS (2022)

Article Physics, Multidisciplinary

Microscopic picture of paraelectric perovskites from structural prototypes

Michele Kotiuga, Samed Halilov, Boris Kozinsky, Marco Fornari, Nicola Marzari, Giovanni Pizzi

Summary: Using first-principles molecular dynamics, we have discovered the persistence of intrinsic off-centerings in the cubic paraelectric phase of BaTiO3. These off-centerings are inconsistent with commonly used atomic-scale modeling methods. By employing systematic symmetry analysis, we have constructed representative structural models and defined energetically and dynamically stable prototypes. These findings are of significance for the computational engineering of functional materials.

PHYSICAL REVIEW RESEARCH (2022)

Article Chemistry, Physical

Effect of a single methyl substituent on the electronic structure of cobaltocene studied by computationally assisted MATI spectroscopy

Sergey Yu. Ketkov, Sheng-Yuan Tzeng, Elena A. Rychagova, Anton N. Lukoyanov, Wen-Bih Tzeng

Summary: Metallocenes, including methylcobaltocene, play important roles in various fields of chemistry. The ionization energy and vibrational structure of (Cp ')(Cp)Co can be influenced by introducing methyl substituents. The mass-analyzed threshold ionization spectrum and DFT calculations provide accurate information about the properties and transformations of (Cp ')(Cp)Co.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Review Chemistry, Physical

Polymer mechanochemistry: from single molecule to bulk material

Qifeng Mu, Jian Hu

Summary: Polymer mechanochemistry has experienced a renaissance due to the rapid development of mechanophores and principles governing mechanochemical transduction or material strengthening. It has not only provided fundamental guidelines for converting mechanical energy into chemical output, but also found applications in engineering and smart devices.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Complex oiling-out behavior of procaine with stable and metastable liquid phases

Da Hye Yang, Francesco Ricci, Fredrik L. Nordstrom, Na Li

Summary: Through systematic evaluation of the oiling-out behavior of procaine, we identified both stable and metastable liquid-liquid phase separation, and established phase diagrams to assist in rational selection of crystallization strategies.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Breaking the size constraint for nano cages using annular patchy particles

Vikki Anand Varma, Simmie Jaglan, Mohd Yasir Khan, Sujin B. Babu

Summary: Designing engineering structures like nanocages, shells, and containers through self-assembly of colloids is a challenging problem. This work proposes a simple model for the subunit, which leads to the formation of monodispersed spherical cages or containers. The model with only one control parameter can be used to design cages with the desired radius.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Effect of the charge rate on the mechanical response of composite graphite electrodes: in situ experiment and mathematical analysis

Hainan Jiang, Yaolong He, Xiaolin Li, Zhiyao Jin, Huijie Yu, Dawei Li

Summary: The cycling lifespan and coulombic efficiency of lithium-ion batteries are crucial for high C-rate applications. The Li-ion concentration plays a crucial role in determining the mechanical integrity and structural stability of electrodes. This study focuses on graphite as the working electrode and establishes an experimental system to investigate the mechanical properties of composite graphite electrode at different C-rates. Considering the effect of Li-ion concentration in stress analysis is found to be significant.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

The effect of weak π-π interactions on single-molecule electron transport properties of the tetraphenylethene molecule and its derivatives: a first-principles study

Zhiye Wang, Yunchuan Li, Mingjun Sun

Summary: This study investigates the influence of intramolecular pi-pi interactions on the electronic transport capabilities of molecules. By designing and analyzing three pi-conjugated molecules, the researchers observe that different pi-conjugated structures have varying effects on electron transport. The findings provide a theoretical foundation for designing single-molecule electronic devices with multiple electron channels based on intramolecular pi-pi interactions.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Designed fabrication of MoS2 hollow structures with different geometries and the comparative investigation toward capacitive properties

Yuandong Xu, Haoyang Feng, Chaoyang Dong, Yuqing Yang, Meng Zhou, Yajun Wei, Hui Guo, Yaqing Wei, Jishan Su, Yingying Ben, Xia Zhang

Summary: Hollow MoS2 cubes and spheres were successfully synthesized using a one-step hydrothermal method with the hard template method. The hollow MoS2 cubes exhibited higher specific capacitance and energy density compared to the hollow MoS2 spheres. The symmetrical supercapacitors assembled with these hollow structures showed good performance and high capacity retention after multiple cycles. These findings suggest that controlling the pore structure and surface characteristics of MoS2 is crucial for enhancing its electrochemical properties.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Exploiting the photophysical features of DMAN template in ITQ-51 zeotype in the search for FRET energy transfer

Ainhoa Oliden-Sanchez, Rebeca Sola-Llano, Joaquin Perez-Pariente, Luis Gomez-Hortiguela, Virginia Martinez-Martinez

Summary: The combination of photoactive molecules and inorganic structures is important for the development of advanced materials in optics. In this study, bulky dyes were successfully encapsulated in a zeolitic framework, resulting in emission throughout the visible spectrum.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Insights into the multi-functional lithium difluoro(oxalate)borate additive in boosting the Li-ion reaction kinetics for Li3VO4 anodes

Miaomiao Zhang, Cunyuan Pei, Qiqi Xiang, Lintao Liu, Zhongxu Dai, Huijuan Ma, Shibing Ni

Summary: The design of a solid electrolyte interphase (SEI) plays a crucial role in improving the electrochemical performance of anode materials. In this study, lithium difluoro(oxalate)borate (LiDFOB) is used as an electrolyte additive to form a protective SEI film on Li3VO4 (LVO) anodes. The addition of LiDFOB results in a dense, uniform, stable, and LiF-richer SEI, which enhances the Li-ion storage kinetics. The generated SEI also prevents further decomposition of the electrolyte and maintains the morphology of LVO anodes during charge/discharge processes. This work demonstrates the effectiveness of LiDFOB as a multi-functional additive for LiPF6 electrolytes and provides insights into SEI construction for high-performance LVO anodes.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

New insights into the structure of the Ag(111)-p(4 x 4)-O phase: high-resolution STM and DFT study

B. V. Andryushechkin, T. V. Pavlova, V. M. Shevlyuga

Summary: The atomic structure of the Ag(111)-p(4 x 4)-O phase was reexamined and two phases with the same periodicity were discovered. It was demonstrated that the accepted Ag6 model is incompatible with high-resolution oxygen-sensitive STM images.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

ClO-driven degradation of graphene oxide: new insights from DFT calculations

S. L. Romo-Avila, D. Marquez-Ruiz, R. A. Guirado-Lopez

Summary: In this study, we used density functional theory (DFT) calculations to investigate the interaction between model graphene oxide (GO) nanostructures and chlorine monoxide ClO. We aimed to understand the role of this highly oxidizing species in breaking C-C bonds and forming significant holes on GO sheets. Our results showed that C-C bonds in a single graphene oxide sheet can be broken through a simple mechanism involving the dissociation of two chemically attached ClO molecules. The formation of carbonyl groups and holes on the GO surface was also observed. This study provides important insights into the degradation of carbon nanotubes and the stability of GO during the myeloperoxidase (MPO) catalytic cycle.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Composition dependence of X-ray stability and degradation mechanisms at lead halide perovskite single crystal surfaces

Alberto Garcia-Fernandez, Birgit Kammlander, Stefania Riva, Hakan Rensmo, Ute B. Cappel

Summary: In this study, the X-ray stability of five different lead halide perovskite compositions (MAPbI3, MAPbCl3, MAPbBr3, FAPbBr3, CsPbBr3) was investigated using photoelectron spectroscopy. Different degradation mechanisms and resistance to X-ray were observed depending on the crystal composition. Overall, perovskite compositions based on the MA+ cation were found to be less stable than those based on FA+ or Cs+. Metallic lead formation was most easily observed in the chloride perovskite, followed by bromide, and very little in MAPbI3. Multiple degradation processes were identified for the bromide compositions, including ion migration, formation of volatile and solid products, as well as metallic lead. CsBr was formed as a solid degradation product on the surface of CsPbBr3.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Effect of porosity on rapid dynamic compaction of nickel nanopowder

Timofei Rostilov, Vadim Ziborov, Alexander Dolgoborodov, Mikhail Kuskov

Summary: The shock-loading behavior of nanomaterials is investigated in this study. It is found that shock compaction waves exhibit a distinct two-step structure, with the formation of faster precursor waves that travel ahead of the main compaction waves. The complexity of the shock Hugoniot curve of the tested nanomaterial is described, and the effect of initial porosity on the compressed states is demonstrated.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

The effect of temperature and oxygen partial pressure on the concentration of iron and manganese ions in La1/3Sr2/3Fe1-xMnxO3-δ

Sergey S. Nikitin, Alexander D. Koryakov, Elizaveta A. Antipinskaya, Alexey A. Markov, Mikhail V. Patrakeev

Summary: The stability of La1/3Sr2/3Fe1-xMnxO3-delta, a perovskite-type oxide, under reducing conditions is dependent on the manganese content. Increasing the manganese content leads to a decrease in stability. The behavior of iron and manganese in the oxide shows distinct differences, which can be attributed to the difference in the enthalpy of oxidation reactions. Additionally, the change in the La/Sr ratio affects the concentration of iron and manganese ions.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)

Article Chemistry, Physical

Perovskenes: two-dimensional perovskite-type monolayer materials predicted by first-principles calculations

Mosayeb Naseri, Shirin Amirian, Mehrdad Faraji, Mohammad Abdur Rashid, Maicon Pierre Lourenco, Venkataraman Thangadurai, D. R. Salahub

Summary: Inspired by the successful transfer of freestanding ultrathin films of SrTiO3 and BiFeO3, this study assessed the structural stability and investigated the electronic, optical, and thermoelectric properties of a group of two-dimensional perovskite-type materials called perovskenes. The findings revealed that these materials are wide bandgap semiconductors with potential application in UV shielding. Moreover, they exhibit better electrical and thermal conductivity at high temperatures, enabling efficient power generation in thermoelectric devices.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2024)