4.7 Article

Hexagonal boron nitride and water interaction parameters

Journal

JOURNAL OF CHEMICAL PHYSICS
Volume 144, Issue 16, Pages -

Publisher

AIP Publishing
DOI: 10.1063/1.4947094

Keywords

-

Funding

  1. AFOSR [FA9550-12-1-0464]
  2. NSF [1264282, 1420882, 1506619, 1545907]
  3. U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program [FG02-12ER46875]
  4. National Science Foundation [OCI-1053575, OCI-0725070, ACI-1238993]
  5. state of Illinois
  6. Directorate For Engineering
  7. Div Of Chem, Bioeng, Env, & Transp Sys [1264282] Funding Source: National Science Foundation
  8. Directorate For Engineering
  9. Div Of Electrical, Commun & Cyber Sys [1506619] Funding Source: National Science Foundation
  10. Division of Computing and Communication Foundations
  11. Direct For Computer & Info Scie & Enginr [1420882] Funding Source: National Science Foundation

Ask authors/readers for more resources

The study of hexagonal boron nitride (hBN) in microfluidic and nanofluidic applications at the atomic level requires accurate force field parameters to describe the water-hBN interaction. In this work, we begin with benchmark quality first principles quantum Monte Carlo calculations on the interaction energy between water and hBN, which are used to validate random phase approximation (RPA) calculations. We then proceed with RPA to derive force field parameters, which are used to simulate water contact angle on bulk hBN, attaining a value within the experimental uncertainties. This paper demonstrates that end-to-end multiscale modeling, starting at detailed many-body quantum mechanics and ending with macroscopic properties, with the approximations controlled along the way, is feasible for these systems. Published by AIP Publishing.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Interdisciplinary Applications

Surrogate neural network model for sensitivity analysis and uncertainty quantification of the mechanical behavior in the optical lens-barrel assembly

Shantanu Shahane, Erman Guleryuz, Diab W. Abueidda, Allen Lee, Joe Liu, Xin Yu, Raymond Chiu, Seid Koric, Narayana R. Aluru, Placid M. Ferreira

Summary: Surrogate neural network models are used in cell phone camera systems to accurately evaluate lens configurations and analyze optical properties. They provide efficient handling of large amounts of data for sensitivity and uncertainty analysis, and are valuable tools for optimizing tolerance design and component matching.

COMPUTERS & STRUCTURES (2022)

Article Materials Science, Multidisciplinary

Multiscale simulation of surface-assisted synthesis of 7-armchair graphene nanoribbons

Thanh Chinh Nguyen, N. R. Aluru

Summary: The on-surface synthesis method is a promising technology for producing nanometer-wide graphene nanoribbons with well-preserved edge structures. This study investigates the surface-assisted synthesis of 7-armchair graphene nanoribbons using a multiscale simulation method. The effect of monomer coverage and substrate type on the polymerization process is studied, and a mathematical model is developed for predicting the percentage of long nanoribbons.

COMPUTATIONAL MATERIALS SCIENCE (2023)

Article Chemistry, Physical

Topology-Based Phase Identification of Bulk, Interface, and Confined Water Using an Edge-Conditioned Convolutional Graph Neural Network

A. Moradzadeh, H. Oliaei, N. R. Aluru

Summary: Water plays a crucial role in various processes and understanding its phases is important for nanodevice engineering. Our study develops a graph neural network method to directly distinguish water phases from data. We compare this approach with conventional order parameter methods to study phase transitions in different water systems.

JOURNAL OF PHYSICAL CHEMISTRY C (2023)

Article Chemistry, Multidisciplinary

Observation and Isochoric Thermodynamic Analysis of Partially Water-Filled 1.32 and 1.45 nm Diameter Carbon Nanotubes

Samuel Faucher, Matthias Kuehne, Hananeh Oliaei, Rahul Prasanna Misra, Sylvia Xin Li, Narayana R. Aluru, Michael S. Strano

Summary: Recent measurements have shown that fluids under extreme confinement, such as water in narrow carbon nanotubes, deviate significantly from theoretical descriptions. In this study, precise replicas of carbon nanotubes filled with water were generated and analyzed using Raman spectroscopy. The results revealed the presence of submicron vapor-like and liquid-like domains in partially filled nanodroplet states, and a Clausius-Clapeyron-type model was used to calculate the heats of condensation of water inside different diameter carbon nanotubes. The findings suggest the potential of molecular engineering of nanoconfined liquid/vapor interfaces for water treatment or membrane distillation.

NANO LETTERS (2023)

Review Chemistry, Multidisciplinary

Fluids and Electrolytes under Confinement in Single-Digit Nanopores

Narayana R. Aluru, Fikret Aydin, Martin Z. Bazant, Daniel Blankschtein, Alexandra H. Brozena, J. Pedro de Souza, Menachem Elimelech, Samuel Faucher, John T. Fourkas, Volodymyr B. Koman, Matthias Kuehne, Heather J. Kulik, Hao-Kun Li, Yuhao Li, Zhongwu Li, Arun Majumdar, Joel Martis, Rahul Prasanna Misra, Aleksandr Noy, Tuan Anh Pham, Haoran Qu, Archith Rayabharam, Mark A. Reed, Cody L. Ritt, Eric Schwegler, Zuzanna Siwy, Michael S. Strano, YuHuang Wang, Yun-Chiao Yao, Cheng Zhan, Ze Zhang

Summary: Confined fluids and electrolyte solutions in nanopores exhibit rich and surprising physics and chemistry that impact the mass transport and energy efficiency in many important natural systems and industrial applications. Exploiting these effects presents myriad opportunities in both basic and applied research that stand to impact a host of new technologies. In this review article, the progress on nanofluidics of single-digit nanopores (SDNs) is summarized, with a focus on the confinement effects. The recent development of precision model systems, transformative experimental tools, and multiscale theories in this field are reviewed.

CHEMICAL REVIEWS (2023)

Article Chemistry, Physical

PyQMC: An all-Python real-space quantum Monte Carlo module in PySCF

William A. Wheeler, Shivesh Pathak, Kevin G. Kleiner, Shunyue Yuan, Joao N. B. Rodrigues, Cooper Lorsung, Kittithat Krongchon, Yueqing Chang, Yiqing Zhou, Brian Busemeyer, Kiel T. Williams, Alexander Munoz, Chun Yu Chow, Lucas K. Wagner

Summary: PyQMC is a new open-source Python package for high accuracy correlated electron calculations using quantum Monte Carlo (QMC) in real space. It implements modern versions of QMC algorithms in an accessible format, enabling algorithmic development and easy implementation of complex workflows. The tight integration with the PySCF environment allows for a straightforward comparison with other many-body wave function techniques and access to high accuracy trial wave functions.

JOURNAL OF CHEMICAL PHYSICS (2023)

Article Chemistry, Multidisciplinary

Inducing Electric Current in Graphene Using Ionic Flow

Fanfan Chen, Yunhong Zhao, Anshul Saxena, Chunxiao Zhao, Mengdi Niu, Narayana R. Aluru, Jiandong Feng

Summary: Classical nanofluidic frameworks focus on confined fluid and ion transport at solid-liquid interface under an electrostatic field, but overlook the electronic property of the solid. We discovered a nanofluidic analogy of Coulomb drag at the liquid-graphene interface, which effectively couples ion and electron dynamics. Our experiments and calculations reveal that the induced electric current in graphene by ionic flow is a result of confined ion-electron interactions through the nanofluidic Coulomb drag mechanism. This finding opens up new possibilities for nanofluidics and transport control by ion-electron coupling.

NANO LETTERS (2023)

Article Physics, Applied

Activation of atomic transport via vibrational coupling-induced force fluctuations

Yechan Noh, N. R. Aluru

Summary: In this study, the impact of vibrational coupling on atomic transport was examined using molecular dynamics simulations. The findings showed that atomic transport can be activated when the natural frequency of the atomic slit is close to the natural frequency of the atom being transported. Fluctuating forces induced by vibrational coupling were observed, with higher amplitudes observed when the coupling is strong. The high force fluctuations allow the atom to temporarily surpass the transport barrier of the slit, leading to transport activation. These findings provide a foundation for further exploration of vibrational coupling in mass transport.

APPLIED PHYSICS LETTERS (2023)

Article Chemistry, Physical

Structural and Dynamical Properties of H2O and D2O under Confinement

Chenxing Liang, Archith Rayabharam, N. R. Aluru

Summary: In this study, the structural and dynamical properties of water and heavy water under nanoscale confinement were investigated using path integral molecular dynamics simulations. It was found that under nanoscale confinement, the bond length and bond angle of both water and heavy water were smaller compared to the bulk state. The number of hydrogen bonds decreased, indicating a weakened hydrogen bond interaction. Heavy water had a higher dipole moment and stronger hydrogen bonding than water.

JOURNAL OF PHYSICAL CHEMISTRY B (2023)

Article Chemistry, Multidisciplinary

Mapping Nanoscale Electrostatic Field Fluctuations around Graphene Dislocation Cores Using Four-Dimensional Scanning Transmission Electron Microscopy (4D-STEM)

Matthew J. Coupin, Yi Wen, Sungwoo Lee, Anshul Saxena, Colin Ophus, Christopher S. Allen, Angus I. Kirkland, Narayana R. Aluru, Gun-Do Lee, Jamie H. Warner

Summary: Defects in crystalline lattices cause modulation of the atomic density, leading to variations in the associated electrostatics at the nanoscale. Four-dimensional scanning transmission electron microscopy (4D-STEM) was used to measure electric fields near point dislocations in a monolayer, overcoming the challenges of traditional phase contrast imaging. The increased electric field magnitude near the (1,0) edge dislocation core in graphene is shown to arise from long-range interactions beyond the nearest atomic neighbor. These results provide insights into using 4D-STEM for quantifying electrostatics and mapping potential variations in thin materials.

NANO LETTERS (2023)

Article Chemistry, Multidisciplinary

Spontaneous sieving of water from ethanol using angstrom-sized nanopores

Archith Rayabharam, Haoran Qu, YuHuang Wang, N. R. Aluru

Summary: The study demonstrates that nanosized pores with controlled pore sizes can separate ethanol-water mixtures through molecular sieving at room temperature and pressure, eliminating the need for energy-intensive and expensive distillation. A selectivity ratio as high as 6700 for water/ethanol separation was achieved with a (6,4) nanotube, which diminishes as the pore size increases beyond 0.306 nm.

NANOSCALE (2023)

Article Chemistry, Multidisciplinary

Ion transport in two-dimensional flexible nanoporous membranes

Yechan Noh, Narayana R. Aluru

Summary: Ion transport is crucial for cell proliferation, energy conversion, and homeostasis in living systems. This mechanism has inspired various nanofluidic applications, such as electricity harvesting, molecular sensors, and molecular separation. Through extensive molecular dynamics simulations, we investigated ion conduction across flexible 2D nanoporous membranes and found that the microscopic fluctuations of these membranes significantly increase ion conductance. Our analysis revealed that when the membrane fluctuated within a specific frequency range, the ion hydration was destabilized, leading to improved ion conduction. The dynamic coupling between the fluctuating membrane and ions plays a crucial role in ion conduction across 2D nanoporous membranes.

NANOSCALE (2023)

Article Chemistry, Multidisciplinary

Immunoglobulin adsorption and film formation on mechanically wrinkled and crumpled surfaces at submonolayer coverage

Matthew T. Gole, Mohan T. Dronadula, Narayana R. Aluru, Catherine J. Murphy

Summary: Understanding the adsorption behavior of proteins on rough and wrinkled surfaces is crucial for biosensor and flexible biomedical device applications. This study investigates the nanoscale adsorption behavior of immunoglobulin M (IgM) and immunoglobulin G (IgG) on wrinkled and crumpled surfaces using atomic force microscopy (AFM). The results show that the presence of negative curvature on the wrinkled surface reduces protein surface coverage, mainly due to geometric hindrance and reduced binding energy, while smaller IgG molecules are not affected by this degree of curvature.

NANOSCALE ADVANCES (2023)

Article Physics, Fluids & Plasmas

Modified Lucas-Washburn theory for fluid filling in nanotubes

Mohammad Heiranian, Narayana R. Aluru

Summary: This study focuses on the water transport in carbon nanotubes (CNTs), corrects the Lucas-Washburn theory, and validates it using molecular dynamics simulations. The findings are important for understanding the water filling dynamics and capillary rise in CNTs.

PHYSICAL REVIEW E (2022)

Article Physics, Fluids & Plasmas

Effect of interfacial vibrational coupling on surface wettability and water transport

Yechan Noh, N. R. Aluru

Summary: This study reports the influence of atomic-scale vibrational coupling at the solid-fluid interface on interfacial properties such as wettability and fluid slip. Molecular dynamics simulation reveals that the contact angle increases and solid-fluid adsorption weakens when the oscillation frequency of the substrate matches the bending frequency of liquid water. The study also shows that vibrational matching at the interface reduces wall-fluid friction and enhances water transport through nanopores.

PHYSICAL REVIEW E (2022)

No Data Available