Article
Materials Science, Multidisciplinary
Mingyu Chen, Xiaowei Lu, Lin Sun, Nan Yin, Quan Shi, Yinshan Meng, Tao Liu, Peng Jiang, Xinhe Bao
Summary: The thermoelectric performance of polycrystalline Ag2+8Te can be enhanced by a magnetic field, increasing its ZT value from 0.44 to 0.80 at 300 K. This suggests that external field regulation can be an effective strategy to improve thermoelectric properties.
MATERIALS TODAY PHYSICS
(2023)
Article
Chemistry, Multidisciplinary
Wen Shi, Mingjia Yao, Xiaomei Wu, Tingxia Zhou, Xue Yong, Tianqi Deng, Huili Ma, Jinyang Xi
Summary: Hybrid organic-inorganic perovskites have attracted significant research interest due to their potential for heat-electricity interconversion. However, the complex interplay between macroscopic properties, nonintuitive transport processes, and basic chemical structures is still not fully understood. Using multiscale first-principles calculations, this study provides a comprehensive understanding of atomic and charge dynamics in hybrid perovskites. It is revealed that the ultralow room-temperature thermal conductivity and strong anharmonicity are crucial for their decent thermoelectric figure of merit. The study also identifies the role of electrostatic interactions and hydrogen bonding in influencing the coupling motions and charge transport in these materials.
Article
Physics, Condensed Matter
Mounir Ould-Mohamed, Tarik Ouahrani, Alfonso Munoz, Daniel Errandonea
Summary: This paper presents a theoretical study on the structural stability and physical properties of newly synthesized Ag2WS4. The results show that Ag2WS4 is thermodynamically, mechanically, and dynamically stable in a tetragonal layered structure, and has potential applications in water splitting and optoelectronic devices.
JOURNAL OF PHYSICS-CONDENSED MATTER
(2022)
Article
Materials Science, Multidisciplinary
Giacomo Sesti, Daniele Varsano, Elisa Molinari, Massimo Rontani
Summary: The screening of Coulomb interaction plays a crucial role in controlling many-body physics in carbon nanotubes. Different types of tubes exhibit different effects of the Coulomb interaction, which can be evaluated by computing the dielectric function. The standard effective-mass model may underestimate the interaction strength at long wavelengths and miss important interactions.
Article
Chemistry, Multidisciplinary
Dejan Zagorac, Jelena Zagorac, Milan Pejic, Branko Matovic, Johann Christian Schon
Summary: We report on a new class of ZnO/ZnS nanomaterials with improved electronic properties based on the wurtzite/sphalerite architecture. The semiconducting properties of these nanomaterials, including different polytypes and the effect of sulfur content on the band gap, have been investigated using theoretical methods.
Article
Nanoscience & Nanotechnology
B. Akdim, C. Woodward, S. Rao, E. Antillon
Summary: Recent studies have shown that chemically-complex solid-solution alloys produce equilibrium dislocations at high temperatures, leading to kinks and pinning points that significantly increase strength. Atomistic studies and chemical analysis can help understand the effects of different alloy compositions on dislocation formation.
SCRIPTA MATERIALIA
(2021)
Article
Physics, Fluids & Plasmas
Shuai Zhang, Valentin V. Karasiev, Nathaniel Shaffer, Deyan I. Mihaylov, Katarina Nichols, Reetam Paul, R. M. N. Goshadze, Maitrayee Ghosh, Joshua Hinz, Reuben Epstein, Stefan Goedecker, S. X. Hu
Summary: In this study, a wide-range equation-of-state (EOS) table for a CH1.72O0.37N0.086 quaternary compound was constructed using density-functional theory molecular-dynamics calculations. The results show that the compression ratio of the C-H-O-N resin is larger than that of CH polystyrene due to the presence of oxygen and nitrogen. However, other properties are similar between CHON and CH. Furthermore, radiation hydrodynamic simulations show that CHON outperforms CH as the ablator for laser-direct-drive target designs.
Article
Materials Science, Multidisciplinary
Te-Huan Liu, Jiawei Zhou, Qian Xu, Xin Qian, Bai Song, Ronggui Yang
Summary: The study shows that long-range electron-phonon interaction can significantly suppress thermal conductivity in certain polar semiconductors by scattering acoustic phonons. The breaking of centrosymmetry has different effects on phonon transport in different crystal structures.
MATERIALS TODAY PHYSICS
(2022)
Article
Chemistry, Physical
Youngsang Park, Sung Yong Bae, Taewan Kim, Seongmin Park, Jae Taek Oh, Daekwon Shin, Mahnmin Choi, Hyojung Kim, Bora Kim, Doh C. Lee, Jung Hoon Song, Hyosung Choi, Sohee Jeong, Younghoon Kim
Summary: The power conversion efficiency of solution-processed thin-film solar cells has greatly improved in the past decade, but their operational stability remains a concern. This study presents a device architecture using Indium Arsenide colloidal quantum dots as the electron transporting layer, which enhances the stability and efficiency of the solar cells.
ADVANCED ENERGY MATERIALS
(2022)
Article
Chemistry, Physical
Shounuo Zhang, Menglu Li, Haiyan Xiao, Zijiang Liu, Xiaotao Zu
Summary: The response of Pu2Zr2O7 and La2Zr2O7 to electronic radiation was simulated using an ab initio molecular dynamics method. Pu2Zr2O7 undergoes crystalline-to-amorphous transition with a lower electronic excitation percentage compared to La2Zr2O7. Anion disorder further drives cation disorder during microstructural evolution, leading to the structural amorphization of both compounds.
Article
Materials Science, Multidisciplinary
Zhi-Gang Mei, R. Ponciroli, A. Petersen
Summary: This study used first-principles calculations to investigate the energy storage induced by defects in graphite. The accumulation of energy resulting from induced defects in graphite has been widely recognized. The study aims to explore the potential of using controlled defect generation in graphite for energy storage purposes. The findings suggest that damaged graphite has the potential to serve as an energy storage medium.
JOURNAL OF NUCLEAR MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Luis E. Gonzalez, David J. Gonzalez
Summary: The static and dynamic properties of several bulk liquid 4d transition metals near their respective melting points have been evaluated using ab-initio molecular dynamics simulations. The results demonstrate the existence of ordered structures and special collective excitations, and further study several transport coefficients.
INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Pablo Garcia-Risueno, Peng Han, Surender Kumar, Gabriel Bester
Summary: This article presents a method for dealing with problematic anticrossing situations in frozen-phonon calculations and applies it to the band gap zero-point motion renormalization of various structures. The results show that 5 structures require the correction, leading to a modification in the range of 4%-185%, with gap renormalizations ranging from -150 to -370 meV for diamondoids and around -40 meV for urotropine.
Article
Chemistry, Physical
Shuo Cao, Gang Zhao, Dehua Wang
Summary: Using fully ab initio molecular dynamics simulations, this study investigates the inherent structure of water and its temperature dependence. The results reveal three types of translational ordering in the second oxygen coordination shell, leading to the classification of local structures in water into three types. These findings provide ab initio evidence for the mixture model of water and shed light on the temperature dependence of its inherent structure.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Chemistry, Multidisciplinary
Yuhan Zhong, Viktoriia Untilova, Dominique Muller, Shubhradip Guchait, Celine Kiefer, Laurent Herrmann, Nicolas Zimmermann, Marion Brosset, Thomas Heiser, Martin Brinkmann
Summary: This contribution demonstrates that doping of oriented semicrystalline P3HT thin films can enhance charge conductivities and thermoelectric power factors. The doping mechanism is found to be intimately related to the semicrystalline structure of the polymer, and preferential doping of the amorphous phase can improve charge mobilities and thermoelectric power factors.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Chemistry, Physical
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
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)
Review
Chemistry, Multidisciplinary
Jennifer D. Lee, Jeffrey B. Miller, Anna Shneidman, Lixin Sun, Jason F. Weaver, Joanna Aizenberg, Juergen Biener, J. Anibal Boscoboinik, Alexandre C. Foucher, Anatoly Frenkel, Jessi E. S. van der Hoeven, Boris Kozinsky, Nicholas Marcella, Matthew M. Montemore, Hio Tong Ngan, Christopher R. O'Connor, Cameron J. Owen, Dario J. Stacchiola, Eric A. Stach, Robert J. Madix, Philippe Sautet, Cynthia M. Friend
Summary: The development of new catalyst materials is crucial for energy-efficient chemical synthesis. Dilute alloy catalysts, which enhance reactivity and retain selectivity, show great promise. The integrated approach, combining materials synthesis, surface chemistry, reaction kinetics, characterization, and theoretical calculations, can predict and improve catalytic selectivity. This approach bridges the gap between fundamental knowledge and the design of complex catalytic systems, leading to the development of new and efficient catalytic processes.
Article
Chemistry, Physical
Kyle Bystrom, Boris Kozinsky
Summary: Machine learning has gained attention for developing more accurate exchange-correlation functionals for density functional theory. This study introduces the CIDER formalism, a set of nonlocal density features, and trains a Gaussian process model to achieve exchange energy that follows the critical uniform scaling rule. The resulting CIDER exchange functional shows significantly improved accuracy compared to tested semilocal functionals, and demonstrates good transferability across main-group molecules.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2022)
Article
Chemistry, Physical
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
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, Physical
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
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
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
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
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
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
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
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
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)