Sequential Selective Dissolution of Coinage Metals in Recyclable Ionic Media DOI Creative Commons
A. Zupanc, Joseph Install, Timo Weckman

et al.

Angewandte Chemie International Edition, Journal Year: 2024, Volume and Issue: 63(31)

Published: May 14, 2024

Coinage metals Cu, Ag, and Au are essential for modern electronics their recycling from waste materials is becoming increasingly important to guarantee the security of supply. Designing new sustainable selective procedures that would substitute currently used processes crucial. Here, we describe an unprecedented approach sequential dissolution single mixtures using biomass-derived ionic solvents green oxidants. First, Cu can be selectively dissolved in presence Ag with a choline chloride/urea/H

Language: Английский

Local reaction environment in electrocatalysis DOI
Chaojie Chen, Huanyu Jin, Pengtang Wang

et al.

Chemical Society Reviews, Journal Year: 2024, Volume and Issue: 53(4), P. 2022 - 2055

Published: Jan. 1, 2024

Beyond conventional electrocatalyst engineering, recent studies have unveiled the effectiveness of manipulating local reaction environment in enhancing performance electrocatalytic reactions. The general principles and strategies environmental engineering for different processes been extensively investigated. This review provides a critical appraisal advancements aiming to comprehensively assess this emerging field. It presents interactions among surface structure, ions distribution electric field relation environment. Useful protocols such as interfacial reactant concentration, mass transport rate, adsorption/desorption behaviors, binding energy are in-depth discussed toward modifying Meanwhile, electrode physical structures cell configurations viable optimization methods environments. In combination with

Language: Английский

Citations

81

Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel DOI Creative Commons
Hongbo Zhao, Haitao Deng, Alexander E. Cohen

et al.

Nature, Journal Year: 2023, Volume and Issue: 621(7978), P. 289 - 294

Published: Sept. 13, 2023

Abstract Reaction rates at spatially heterogeneous, unstable interfaces are notoriously difficult to quantify, yet essential in engineering many chemical systems, such as batteries 1 and electrocatalysts 2 . Experimental characterizations of materials by operando microscopy produce rich image datasets 3–6 , but data-driven methods learn physics from these images still lacking because the complex coupling reaction kinetics, surface chemistry phase separation 7 Here we show that heterogeneous kinetics can be learned situ scanning transmission X-ray (STXM) carbon-coated lithium iron phosphate (LFP) nanoparticles. Combining a large dataset STXM with thermodynamically consistent electrochemical phase-field model, partial differential equation (PDE)-constrained optimization uncertainty quantification, extract free-energy landscape verify their consistency theoretical models. We also simultaneously spatial heterogeneity rate, which closely matches carbon-coating thickness profiles obtained through Auger electron (AEM). Across 180,000 pixels, mean discrepancy model is remarkably small (<7%) comparable experimental noise. Our results open possibility learning nonequilibrium material properties beyond reach traditional offer new non-destructive technique for characterizing optimizing reactive surfaces.

Language: Английский

Citations

43

Insights into charge transfer dynamics of Li batteries through temperature-dependent electrochemical impedance spectroscopy (EIS) utilizing symmetric cell configuration DOI
Mohammed Ahmed Zabara, Gökberk Katırcı, Fazlı Eren Civan

et al.

Electrochimica Acta, Journal Year: 2024, Volume and Issue: 485, P. 144080 - 144080

Published: March 13, 2024

Language: Английский

Citations

26

Exploring CO2 reduction and crossover in membrane electrode assemblies DOI Creative Commons
Eric W. Lees, Justin C. Bui, Oyinkansola Romiluyi

et al.

Nature Chemical Engineering, Journal Year: 2024, Volume and Issue: 1(5), P. 340 - 353

Published: May 6, 2024

Language: Английский

Citations

21

Critical comparison of equivalent circuit and physics-based models for lithium-ion batteries: A graphite/lithium-iron-phosphate case study DOI Creative Commons
Marco Lagnoni, Claudio Scarpelli, Giovanni Lutzemberger

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 94, P. 112326 - 112326

Published: June 13, 2024

Language: Английский

Citations

11

Systematic feature design for cycle life prediction of lithium-ion batteries during formation DOI
Jinwook Rhyu, Joachim Schaeffer, Michael L. Li

et al.

Joule, Journal Year: 2025, Volume and Issue: unknown, P. 101884 - 101884

Published: March 1, 2025

Language: Английский

Citations

1

Data-driven analysis of battery formation reveals the role of electrode utilization in extending cycle life DOI
Xiao Cui, Stephen Dongmin Kang,

Sunny Wang

et al.

Joule, Journal Year: 2024, Volume and Issue: 8(11), P. 3072 - 3087

Published: Aug. 29, 2024

Language: Английский

Citations

7

Computational Insights into Electrolyte-Dependent Li-Ion Charge-Transfer Kinetics at the LixCoO2 Interface DOI
Joakim Halldin Stenlid, Pjotrs A. Žguns, Daniele Vivona

et al.

ACS Energy Letters, Journal Year: 2024, Volume and Issue: 9(7), P. 3608 - 3617

Published: July 3, 2024

Language: Английский

Citations

6

Physics-Informed Design of Hybrid Pulse Power Characterization Tests for Rechargeable Batteries DOI Creative Commons
Debbie Zhuang, Michael Lingzhi Li, Vivek Lam

et al.

Journal of The Electrochemical Society, Journal Year: 2024, Volume and Issue: 171(5), P. 050510 - 050510

Published: April 25, 2024

Industry-standard diagnostic methods for rechargeable batteries, such as hybrid pulse power characterization (HPPC) tests electric vehicles, provide some indications of state health (SoH), but lack a physical basis to guide protocol design and identify degradation mechanisms. We develop physics-based theoretical framework HPPC tests, which are able accurately determine specific mechanisms battery in porous electrode simulations. show that voltage pulses generally preferable current pulses, since voltage-resolved linearization more rapidly quantifies without sacrificing accuracy or allowing significant changes during the measurement. In addition, asymmetric amounts information gain between charge /discharge found from differences kinetic scales. demonstrate our approach physics-informed on simulated Li-ion batteries with nickel-rich cathodes graphite anodes. Multivariable optimization by determines parameters correlate phenomena at anode, solid-electrolyte interphase (SEI) growth lithium plating, well cathode, oxidation-induced cation disorder. If validated experimentally, standardized protocols could play pivotal role expediting SoH assessment accelerating materials providing new electrochemical features interpretable machine learning degradation.

Language: Английский

Citations

5

Theory and kinetic modeling of electrochemical cation-coupled electron transfer reactions DOI Creative Commons
Marc T. M. Koper

Journal of Solid State Electrochemistry, Journal Year: 2023, Volume and Issue: 28(5), P. 1601 - 1606

Published: Aug. 30, 2023

Abstract A simple Hamiltonian Marcus-type model for cation-coupled electron transfer reactions is introduced, and an expression the activation energy derived. The mathematically similar to classical Frumkin correction. explains how cations lower Volmer reaction in alkaline media help stabilizing first intermediate electrochemical CO 2 reduction. second part of paper introduces cation effect a more empirical way effective rate law shows coupling local pH changes corresponding interfacial concentration leads deviations from standard Butler-Volmer behavior non-linear Tafel plots.

Language: Английский

Citations

13