Pressure dependence of ionic conductivity in site disordered lithium superionic argyrodite Li6PS5Br

Energy Adv., 2023, Advance Article
DOI: 10.1039/D3YA00424D, Paper
Open Access Open Access
Vasiliki Faka, Matthias T. Agne, Paul Till, Tim Bernges, Marcel Sadowski, Ajay Gautam, Karsten Albe, Wolfgang G. Zeier
The activation volume of a mobile ion can be determined from pressure dependent conductivity measurements. In Br/S2− site disordered lithium argyrodites Li6PS5Br, the activation volume is increasing with increasing site disorder.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry

Long-stable solar energy capture and storage via negative thermal expansion regulated calcium-based particles

Energy Adv., 2023, 2,1761-1769
DOI: 10.1039/D3YA00379E, Paper
Open Access Open Access
Jingrui Liu, Yimin Xuan, Liang Teng, Chen Sun, Qibin Zhu, Xianglei Liu
The negative thermal expansion regulation strategy of NTEP alleviates the sintering dilemma of calcium-based particles and provides a promising solution for long-term stable renewable energy conversion and storage.
The content of this RSS Feed (c) The Royal Society of Chemistry

Correction: Generation of covalent organic framework-derived porous N-doped carbon nanosheets for highly efficient electrocatalytic hydrogen evolution

Energy Adv., 2023, Advance Article
DOI: 10.1039/D3YA90040A, Correction
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Sayan Halder, Anup Kumar Pradhan, Soumen Khan, Chanchal Chakraborty
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry

Compositionally Variant Bimetallic Cu-Mn Oxysulfide Electrodes with Meritorious Supercapacitive Performance and High Energy Density

Energy Adv., 2023, Accepted Manuscript
DOI: 10.1039/D3YA00415E, Paper
Open Access Open Access
Nageh Allam, Heba M El Sharkawy , Abdussalam M. Elbanna, Ghada E Khedr
The rational design and fabrication of low-cost, earth-abundant electrode materials for energy conversion and storage devices is immensely needed. Herein, we demonstrate the successful fabrication of Cu-Mn mixed-metallic oxysulfides (Cu-Mn-OS)...
The content of this RSS Feed (c) The Royal Society of Chemistry

Stochastic microstructure modeling of SOC electrodes based on a pluri-Gaussian method

Energy Adv., 2023, Accepted Manuscript
DOI: 10.1039/D3YA00332A, Paper
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Philip Marmet, Lorenz Holzer, Thomas Hocker, Vinzenz Muser, Gernot Boiger, Mathias Fingerle, Sarah Reeb, Dominik Michel, Joseph Brader
Digital Materials Design (DMD) offers new possibilities for data-driven microstructure optimization of solid oxide cells (SOC). Despite the progress in 3D-imaging, experimental microstructure investigations are typically limited to only a...
The content of this RSS Feed (c) The Royal Society of Chemistry

Exploring the Feasibility of a Two-Dimensional Layered Cobalt-Based Coordination Polymer for Supercapacitor Applications: Effect of Electrolytic Cations

Energy Adv., 2023, Accepted Manuscript
DOI: 10.1039/D3YA00378G, Paper
Open Access Open Access
Rakesh Deka, Shashank Rathi, Shaikh M. Mobin
Coordination polymers have attracted much interest in energy-related applications due to their adaptable structures and unique photophysical and chemical properties. In this study, a coordination polymer, Co-CP, was synthesized using...
The content of this RSS Feed (c) The Royal Society of Chemistry

In-plane Gradient Design of Flow Fields enables Enhanced Convections for Redox Flow Battery

Energy Adv., 2023, Accepted Manuscript
DOI: 10.1039/D3YA00365E, Paper
Open Access Open Access
Lyuming Pan, Jianyu Xie, Jincong Guo, Dongbo Wei, Honghao Qi, Haoyao Rao, Puiki Leung, Lin Zeng, Tianshou Zhao, Lei Wei
In the realm of redox flow batteries, the flow field plays a vital role in influencing the overall performances of the redox flow batteries. Inspired by natural phenomena, a modified...
The content of this RSS Feed (c) The Royal Society of Chemistry

An automated quantum chemistry-driven, experimental characterization for high PCE donor–π–acceptor NIR molecular dyes

Digital Discovery, 2023, 2,1269-1288
DOI: 10.1039/D3DD00023K, Paper
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Taylor J. Santaloci, William E. Meador, Austin M. Wallace, E. Michael Valencia, Blake N. Rogers, Jared H. Delcamp, Ryan C. Fortenberry
A readily accessible dye molecule with potential properties well-beyond the state-of-the-art for dye-sensitized solar cells is realized from extensive quantum chemical characterization of nearly 8000 stochastically-derived novel molecules.
The content of this RSS Feed (c) The Royal Society of Chemistry

Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films

Digital Discovery, 2023, 2,1334-1346
DOI: 10.1039/D2DD00149G, Paper
Open Access Open Access
Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj, Yuanhang Cheng, Daniil Bash, Felipe Oviedo, J. Senthilnath, Vijila Chellappan, Yee-Fun Lim, Armin G. Aberle, Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette, Qianxiao Li, Tonio Buonassisi, Zhe Liu
thicknessML predicts film thickness from reflection and transmission spectra. Transfer learning enables thickness prediction of different materials with good performance. Transfer learning also bridges the gap between simulation and experiment.
The content of this RSS Feed (c) The Royal Society of Chemistry

Generating structural alerts from toxicology datasets using the local interpretable model-agnostic explanations method

Digital Discovery, 2023, 2,1311-1325
DOI: 10.1039/D2DD00136E, Paper
Open Access Open Access
Cayque Monteiro Castro Nascimento, Paloma Guimarães Moura, Andre Silva Pimentel
The local interpretable model-agnostic explanations method was used to interpret a machine learning model of toxicology generated by a neural network multitask classifier method.
The content of this RSS Feed (c) The Royal Society of Chemistry