Computational Screening of La2NiO4+δ Cathodes with Ni Site Doping for Solid Oxide Fuel Cells.

Doping on the crystal structure is a common strategy to modify electronic conductivity, ion conductivity, and thermal stability. In this work, a series of transition metal elements (Fe, Co, Cu, Ru, Rh, Pd, Os, Ir, and Pt) doped at the Ni site of La2NiO4+δ compounds as cathode materials of solid oxide fuel cells (SOFCs) are explored based on first-principles calculations, through which the determinant factors for interstitial oxygen formations and migrations are discussed at an atomistic level. The interstitial oxygen formation and migration energies for doped La2NiO4 are largely reduced in contrast to the pristine La2NiO4+δ, which is explained by charge density distributions, charge density gradients, and Bader charge differences. In addition, based on a negative correlation between formation energy and migration barrier, the promising cathode materials for SOFCs were screened out between the doped systems. The Fe-doped structures of x = 0.25, Ru-doped structures of x = 0.25 and x = 0.375, Rh-doped structures of x = 0.50, and Pd-doped structures of x = 0.375 and x = 0.50 are screened out with interstitial oxygen formation energy less than -3 eV and migration barrier less than 1.1 eV. In addition, DOS analysis indicates that doping to La2NiO4+δ also facilitates the electron conductions. Our work provides a theoretical guideline for the optimization and design of La2NiO4+δ-based cathode materials by doping.

Ion Kinetics and Capacity Tailoring in Stacked Graphdiyne by Functionalization.

Stacked two-dimensional (2D) materials as bulk materials are more practical to be anodes of Li-ion batteries than their monolayers due to the easier operation, while the ion kinetics and capacity are usually deteriorated by the geometric constraint in stacked structures. Herein, we perform first-principles calculations to explore anode performances of the stacked graphdiyne (GDY) where the functional group is intercalated to enlarge the interlayer distance. Compared to the monolayer GDY, which has a diffusion barrier of only 0.315 eV and capacity as high as LiC3, the pristine stacked GDY presents lower capacity (LiC6) and higher diffusion barrier (0.638-0.922 eV) due to the geometric constraint, while after functionalization, the stacked GDY exhibits excellent properties for storing ions similar to the monolayer GDY. A good electronic conductivity is also confirmed by the density of states. Our study indicates that functionalization is an effective pathway to improve the anode performances of stacked 2D materials by optimizing the interlayer structure.

Reversible bipolar thermopower of ionic thermoelectric polymer composite for cyclic energy generation.

The giant thermopower of ionic thermoelectric materials has attracted great attention for waste-heat recovery technologies. However, generating cyclic power by ionic thermoelectric modules remains challenging, since the ions cannot travel across the electrode interface. Here, we reported a reversible bipolar thermopower (+20.2 mV K-1 to -10.2 mV K-1) of the same composite by manipulating the interactions of ions and electrodes. Meanwhile, a promising ionic thermoelectric generator was proposed to achieve cyclic power generation under a constant heat course only by switching the external electrodes that can effectively realize the alternating dominated thermodiffusion of cations and anions. It eliminates the necessity to change the thermal contact between material and heat, nor does it require re-establish the temperature differences, which can favor improving the efficiency of the ionic thermoelectrics. Furthermore, the developed micro-thermal sensors demonstrated high sensitivity and responsivity in light detecting, presenting innovative impacts on exploring next-generation ionic thermoelectric devices.

Usability Identification Framework and High-Throughput Screening of Two-Dimensional Materials in Lithium Ion Batteries.

Two-dimensional materials (2D materials) show great advantages in high-performance lithium ion battery materials due to the inherent ion channels and rich ion sites. Unfortunately, rare 2D materials own all desired attributes to meet complex scenarios. Further enriching the 2D materials database for lithium ion battery use is of high interest. In this work, we extend the list of candidates for lithium ion batteries based on a 2D material identification theory. More importantly, a usability identification framework leveraging the competitive mechanism between the adsorbability and reversibility of ions on a 2D material is proposed to assist the deeper screening of practicable 2D materials. As a result, 215 2D materials including 158 anodes, 21 cathodes, and 36 solid electrolytes are predicted to be practicable for lithium ion battery use. The comparison between the identified 2D materials with the known ones verifies the reliability of our strategy. This work significantly enriches the choices of 2D materials to satisfy the various battery demands and provides a general methodology to assess the usability of unexploited 2D materials for lithium ion batteries.

Asymmetric Two-Layer Porous Membrane for Gas Separation.

We present that the porous two-layer membranes of graphene and hexagonal boron nitride (h-BN) are promising for gas mixture separation. For the two-layer membranes, the mechanisms of the gas separation are (i) the different adsorption properties of gases on two membranes inducing a permeation flux difference from one side to the other and (ii) the asymmetric potential energy curves (potential energy of a gas molecule vs distance between the pore center and a gas molecule) of a two-layer membrane leading to a potential energy difference, which can affect gas permeation through the pore. As a concrete example, we explore the gas separation of CO2 and CH4 by the two-layer membrane using molecular dynamics simulations. Finally, on the basis of the distinctive permeation rates in the two directions, a gas separation system with two back-to-back arrayed graphene/h-BN membranes with big pores is designed to realize gas separation.

Insight into the localized surface plasmon resonance property of core-satellite nanostructures: Theoretical prediction and experimental validation.

Regulation of the localized surface plasmon resonance (LSPR) of nanoparticles by changing the dielectric constant of the surrounding medium has been exploited in many practical applications. In this study, using Ag-nanodot-decorated SiO2 nanoparticles (Ag-decorated SiO2NPs) with different solvents, we investigated the potential of using such core-satellite nanostructures as a liquid sensor for the determination of melamine. The dielectric constant effect of the surrounding medium on the LSPR property was given particular attention. It was found that colloids with water as solvent display a LSPR shift of 14nm, and this value was 18nm for ethanol. For colloids with methanol and glycol as solvents, the peak shifts are negligible. Finite-difference time-domain (FDTD) simulations were used to assign the LSPR peaks of Ag-decorated SiO2NPs and to monitor the effect of the substrate and solvent on the LSPR properties. In the calculations, the wavelength positions of the LSPR peaks for Ag-decorated SiO2NPs in various solvents were successfully predicted in the order methanol