Results 181 to 190 of about 802,207 (248)

Upscaling Sodium‐Ion Battery Cells: From Aqueous Processing to Performance Assessment of Hard Carbon|Prussian White Pouch Cells

Advanced Energy Materials, EarlyView.
This study investigates the feasibility of scaling up Prussian White (PW)‐based cathode manufacturing at a pilot scale. Through careful PW dehydration combined with optimized aqueous processing, we report the stepwise development of industrially relevant 1 Ah pouch cells and evaluate their performance under various conditions.
Faduma M. Maddar, Katerina Gonos, Martand Singh, Jacob Compton, Daniel Atkinson, Matthew J. Capener, Mark Copley, Ivana Hasa   +7 more
wiley   +1 more source

Research on online book user purchase behavior based on the event logic graph. [PDF]

PLoS One
Zhang B, Peng S.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Post-marketing signal detection of fruquintinib-associated adverse events using the FAERS database. [PDF]

Medicine (Baltimore)
Liu C, Zhang H.
europepmc   +1 more source

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

Automated Detection of Digital Alcohol Marketing Using SCANNER: An Integrated Deep-Learning Approach. [PDF]

Drug Alcohol Rev
Martino F, Liyana Pathirana N, Saif L, Bhatti A, Backholer K.   +4 more
europepmc   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Pharmacovigilance Due Diligence in Drug Development: A Practical Playbook for Risk Identification, Compliance Assessment, and Strategic Decision Making. [PDF]

Drug Saf
Youssef A, Hammad TA.
europepmc   +1 more source

Clesrovimab approval for RSV: a lifesaving opportunity for global infant health equity. [PDF]

Ann Med Surg (Lond)
Kumari S, Kamil KA.
europepmc   +1 more source

"They make it seem harmless": a qualitative investigation into women's perceptions about novel gambling promotions and public relations strategies. [PDF]

BMC Public Health
McCarthy S, Pitt H, Arnot G, Thomas SL.
europepmc   +1 more source