Beginner's Guide to Raman Spectroelectrochemistry for Electrocatalysis Study

W Zheng - Chemistry‐Methods, 2023 - Wiley Online Library
The need for continuous observation of electrocatalytic processes under operating
conditions has promoted the popularity of in situ techniques coupled with electrochemical …

A Fundamental Correlative Spectroscopic Study on Li1‐xNiO2 and NaNiO2

Q Jacquet, N Mozhzhukhina… - Advanced Energy …, 2024 - Wiley Online Library
The intricate relationship between local atomic arrangements and electronic states
significantly influences the electrochemical properties of Li‐ion battery cathode materials …

A PESTLE analysis of the trucking industry: key insights and implications

P Torres-Nunez, D Güemes-Castorena… - Cogent Business & …, 2024 - Taylor & Francis
Trucks are essential for transporting goods in today's economy, and heavy truck technology
is advancing rapidly. New advancements include electric trucks, internet of things …

[HTML][HTML] Utilizing active learning to accelerate segmentation of microstructures with tiny annotation budgets

LH Rieger, F Cadiou, Q Jacquet, V Vanpeene… - Energy Storage …, 2024 - Elsevier
Non-destructive 3D imaging techniques, such as X-ray nano-holo-tomography, enable the
visualization of battery electrodes. Segmenting electrodes into distinct phases is crucial for a …

Mechanistic understanding of the correlation between structure and dynamics of liquid carbonate electrolytes: impact of polarization

M Maiti, AN Krishnamoorthy, Y Mabrouk… - Physical Chemistry …, 2023 - pubs.rsc.org
Liquid electrolyte design and modelling is an essential part of the development of improved
lithium ion batteries. For mixed organic carbonates (ethylene carbonate (EC) and ethyl …

FullProfAPP: a graphical user interface for the streamlined automation of powder diffraction data analysis

O Arcelus, J Rodríguez-Carvajal, NA Katcho… - Applied …, 2024 - journals.iucr.org
FullProfAPP is a software tool for data processing, refinement and visualization of large
collections of powder diffraction patterns. Featuring an intuitive graphical user interface, it …

Understanding the patterns that neural networks learn from chemical spectra

LH Rieger, M Wilson, T Vegge, E Flores - Digital Discovery, 2023 - pubs.rsc.org
Analysing spectra from experimental characterization of materials is time consuming,
susceptible to distortions in data, requires specific domain knowledge, and may be …

Mapping reaction mechanism during overcharge of a LiNiO2/Graphite-silicon lithium-ion battery: a correlative operando approach by simultaneous gas analysis and …

Q Jacquet, I Profatilova, L Baggetto, B Alrifai… - arXiv preprint arXiv …, 2024 - arxiv.org
Li-ion battery degradation processes are multi-scale, heterogeneous, dynamic and involve
multiple cell components through cross talk mechanisms. Correlated operando …

[PDF][PDF] Fitspy: A Python package for spectral decomposition

P Quéméré - Journal of Open Source Software, 2024 - joss.theoj.org
Fitspy is a dedicated tool to fit spectra in python. Spectrum decomposition (also known as
fitting) is the choice of a linear combination of peak models to best represent an …