4.8 Article

Surface slip on rotating graphene membrane enables the temporal selectivity that breaks the permeability-selectivity trade-off

Journal

SCIENCE ADVANCES
Volume 6, Issue 34, Pages -

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.aba9471

Keywords

-

Funding

  1. National Natural Science Foundation of China (NSFC) [11872192, 11772082, 11672063]

Ask authors/readers for more resources

Membrane separation technology is dictated by the permeability-selectivity trade-off rule, because selectivity relies on membrane pore size being smaller than that of hydrated ions. We discovered a previously unknown mechanism that breaks the permeability-selectivity trade-off in using a rotating nanoporous graphene membrane with pores of 2 to 4 nanometers in diameter. The results show that the rotating membrane exhibits almost 100% salt rejection even when the pore size is larger than that of hydrated ions, and the surface slip at the liquid/graphene interface of rotating membrane enables concurrent ultra-selectivity and unprecedented high permeability. A novel concept of temporal selectivity is proposed to attribute the unconventional selectivity to the time difference between the ion's penetration time through the pore and the bypass time required for ion's sliding across the pore. The newly discovered temporal selectivity overcomes the limitation imposed by pore size and provokes a novel theory in designing high-performance membranes.

Authors

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

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Interdisciplinary Applications

Peridynamic modeling and simulation of thermo-mechanical fracture in inhomogeneous ice

Ying Song, Shaofan Li, Yunbo Li

Summary: In this work, a peridynamics approach is used to develop an inhomogeneous sea ice model and simulate crack propagation in a thermo-mechanical field of ice sheet. The proposed model not only provides an efficient tool to simulate the complex deformation pattern in ice failure process, but also reveals the mechanical mechanism of fracture in ice.

ENGINEERING WITH COMPUTERS (2023)

Review Computer Science, Interdisciplinary Applications

A State-of-the-Art Review on Machine Learning-Based Multiscale Modeling, Simulation, Homogenization and Design of Materials

Dana Bishara, Yuxi Xie, Wing Kam Liu, Shaofan Li

Summary: Multiscale simulation and homogenization are essential computational technologies in material modeling and design, but their adoption in the industrial sector has been limited due to high computational cost. The rapid advancements in artificial intelligence and machine learning have provided new solutions to enhance the computational efficiency and accuracy of multiscale simulations.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2023)

Correction Computer Science, Interdisciplinary Applications

Eighty Years of the Finite Element Method: Birth, Evolution, and Future (June, 10.1007/s11831-022-09740-9, 2022)

Wing Kam Liu, Shaofan Li, Harold S. Park

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2023)

Article Mathematics, Interdisciplinary Applications

A Bayesian regularization network approach to thermal distortion control in 3D printing

Yuxi Xie, Boyuan Li, Chao Wang, Kun Zhou, C. T. Wu, Shaofan Li

Summary: In this research, a Bayesian Regularization Network based Geometric Deviation Control (BRN-GDC) algorithm is developed to mitigate thermal distortion in 3D printing. The BRN-GDC method is training-free and does not require lots of data due to its shallow regularization network architecture. Unlike conventional point set registration methods, the Bayesian regularization network approach works well in finding the global geometric deviation field in 3D printing where there is a lack of one-to-one correspondence between design point data and scan point data. Two experiments in this paper demonstrate the capability of the BRN-GDC algorithm to control parameter- and location-dependent thermal distortion in 3D printing.

COMPUTATIONAL MECHANICS (2023)

Article Engineering, Chemical

On the temporal selectivity of desalination for a porous composite graphene-copper membrane (GCuM): A molecular dynamics study

Fujian Zhang, Zhongqiang Zhang, Zhen Liu, Guanggui Cheng, Shaofan Li, Jianning Ding

Summary: The concept of temporal selectivity breaks the paradigm of permeability and selectivity in membrane separation technology. In this study, a rotating centrifuge model made of porous copper foil covered with porous graphene was designed to explore the possibility of realizing temporal selectivity on a porous composite graphene-copper membrane (GCuM). The results show that the permeability of the porous rotating GCuM is significantly higher than commercial and other advanced reverse osmosis membranes, with a high salt rejection rate. The molecular mechanism analysis reveals that the boundary slip velocity plays a key role in salt rejection.

DESALINATION (2023)

Article Mechanics

New insights into the bond-based and ordinary state-based models in Peridynamics

Jincheng Fan, Heping Xie, Shaofan Li, Heng Zhang, Yong Zhang

Summary: The paper provides new insights into the bond-based Peridynamics (BPD) and ordinary state-based Peridynamics (OSPD) models by studying the bond length change and micro-potential function. The nonlocal elastic strain energy density (NESED) and constitutive bond force densities are discussed using specific influence functions. The findings show that the proposed method can retrieve the results of the OSPD model for small deformations. Additionally, the Peridynamic model has descriptive and predictive capabilities.

ENGINEERING FRACTURE MECHANICS (2023)

Article Acoustics

Study on the dynamic characteristics of the suspender with additional dampers and a frequency-based multiple parameter identification method for the system

L. Ma, C. S. Cai, L. H. Wu, S. F. Li

Summary: The measurement of tensile forces in suspenders is crucial for safety inspection and monitoring in large structural engineering projects. The frequency-based method is commonly used, but affected by factors such as additional damping and boundary conditions. This study derives the equation of damped motion for a suspender-damper system, develops a numerical solution method based on finite difference scheme, and proposes a frequency-based multiple parameter identification method. The research demonstrates that the position and damping coefficient of the damper significantly affect the frequency and mode of the suspender-damper system, and discusses the influencing mechanism. Numerical examples show that the proposed algorithm can accurately identify multiple system parameters of the suspender, with a maximum error of 1%. The study also discusses the influence of frequency errors.

JOURNAL OF SOUND AND VIBRATION (2023)

Article Construction & Building Technology

Alite hydration at the single grain level

Qi Zheng, Chengyao Liang, Jinyang Jiang, Xinle Li, Shaofan Li

Summary: Understanding the nanoscale mechanism of calcium silicate hydrate (C-S-H) transformation during cement hydration is crucial for achieving desired properties in concrete. Through multimodal transmission electron microscopy (TEM), this study reveals that C-S-H rapidly nucleates at boundaries and then grows, with the development of C-S-H fibrils categorized into needle elongation and texture densification stages. The growth rate of C-S-H needles is estimated to be 7 nm/min, accompanied by a decrease in intrinsic porosity and thickening of C-S-H lamella. Electron diffraction analysis demonstrates the homogenization of C-S-H throughout hydration. These findings enhance our understanding of hydration mechanisms at a fundamental level.

CEMENT & CONCRETE COMPOSITES (2023)

Article Engineering, Environmental

Carbonation dynamics of hydrated alite revealed by electron microscopy

Qi Zheng, Chengyao Liang, Jinyang Jiang, Shaofan Li

Summary: In this study, the carbonation dynamics of alite hydrates were explored using electron microscopy. It was found that calcite is the dominant phase of carbonate crystals in the alite system throughout the carbonation process. The shape evolution of calcite crystals, from spindle carbonates to rhombohedrons, was observed, along with intermediate states such as polyhedral particles and layered rhomboids. The growth rate of calcite particles was determined to be approximately 0.2 μm/day, which may be influenced by the relative concentration of calcium ions and CO2 source. Atomic force microscopy was used to uncover the relationship between the microstructure and mechanical properties of calcite. Additionally, the morphology development of calcite crystals during carbonation was explained by the variation in surface energy of different facets. This work provides a unique approach to study carbonation kinetics and sheds light on underlying carbonation mechanisms at the nanoscale.

CHEMICAL ENGINEERING JOURNAL (2023)

Article Mathematics, Interdisciplinary Applications

A meshfree orthotropic laminated shell model for geometrically nonlinear static and dynamic analysis

Bing Xue, A-Man Zhang, Yu-Xiang Peng, Qi Zhang, Shaofan Li

Summary: A meshfree orthotropic laminated shell model based on the reproducing kernel particle method (RKPM) and the Mindlin-Reissner shell theory is proposed for dealing with finite deformation of composite shell structures, suitable for arbitrary geometry in engineering. The model is validated through static and dynamic benchmarks, demonstrating its accuracy and convergence in solving nonlinear responses of composite structures.

COMPUTATIONAL MECHANICS (2023)

Article Engineering, Multidisciplinary

A bond-based peridynamics modeling of polymeric material fracture under finite deformation

Caglar Tamur, Shaofan Li

Summary: We have developed a bond-based peridynamics model that can accurately capture the fracture of polymer networks under finite deformation. Through numerical examples, we have demonstrated that this model is robust, efficient, and able to simulate crack growth in polymeric materials with good accuracy. Compared to existing continuum models, our approach is theoretically simple, rigorous, and computationally fast, making it a convenient simulation tool for modeling polymer failure processes.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2023)

Article Materials Science, Multidisciplinary

On Peierls-Rice-Beltz nonlocal continuum model and simulations of mesoscale dislocations (slips) and shear cracks

Xuan Hu, Shaofan Li

Summary: In this work, a cohesive Peierls-Rice-Beltz nonlocal continuum theory is developed and applied to model mesoscale dislocation motions and shear cracks in crystal solids. The main novelties of this work are the development of a bond-based peridynamics model and the ability to simulate different types of fractures. The proposed method is shown to be effective in modeling inelastic fracture in nonlocal cohesive media.

JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS (2023)

Article Polymer Science

Artificial Neural Networks for Predicting Mechanical Properties of Crystalline Polyamide12 via Molecular Dynamics Simulations

Caglar Tamur, Shaofan Li, Danielle Zeng, Brian J. Edwards

Summary: In this study, we developed an artificial neural network (ANN) to predict the mechanical properties of crystalline Polyamide12 (PA12) based on molecular dynamics simulations. We showed that this approach is efficient and accurate in providing three-dimensional molecular-level anisotropic stress-strain relation of PA12 for any macroscale mechanics model, laying the foundation for a multiscale finite element method for simulating semicrystalline polymers.

POLYMERS (2023)

Article Engineering, Marine

A Multi-Yield-Surface Plasticity State-Based Peridynamics Model and its Applications to Simulations of Ice-Structure Interactions

Ying Song, Luwen Zhang, Shaofan Li, Yunbo Li

Summary: Building an accurate ice constitutive model to predict ice loads during ship-ice collision is challenging due to the complex mesoscopic and macroscopic characteristics of ice. In this study, we combine a conventional plasticity model with state-based peridynamics and consider the effects of temperature distribution, strain rate, and pressure sensitivity. The proposed model successfully predicts material failure of different types of ice and is validated through benchmark tests.

JOURNAL OF MARINE SCIENCE AND APPLICATION (2023)

Article Mathematics, Interdisciplinary Applications

A multigrid coupling approach of the extended isogeometric-meshfree method and peridynamics for brittle fracture

Weidong Li, Nguyen-Thanh Nhon, Qi Zhang, Hejun Du, Shaofan Li, Kun Zhou

Summary: A multigrid coupling approach of the extended isogeometric-meshfree method and bond-based peridynamics is developed for static and dynamic fracture problems. The approach divides the problem domain into two subdomains and connects them with interface meshes to capture fracture patterns.

COMPUTATIONAL MECHANICS (2023)

No Data Available