Results 161 to 170 of about 260,041 (284)

Addressing Bottlenecks to Achieve High‐Energy Sodium‐Ion Cells Using Tin Anodes

open access: yesAdvanced Energy Materials, EarlyView.
The challenges in coupling high voltage cathode with Sn‐alloying anode or in anode‐free cell, using glyme based electrolytes to realize high energy Na‐ion cells are reported. Surface protection strategy such as SnO coating on Sn or trapping the parasitic species from poisoning the anode, helps improving the cyclability, with ∼100% capacity retention ...
Parth Desai   +11 more
wiley   +1 more source

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

open access: yesAIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse   +2 more
wiley   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen   +5 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Are men clients, catalysts or controllers of family planning? [PDF]

open access: yesFront Glob Womens Health
Horanieh N   +6 more
europepmc   +1 more source

“Will you be there for me?” Social support from family and friends during cold case sexual assault prosecutions

open access: yesAmerican Journal of Community Psychology, EarlyView.
Abstract If sexual assault survivors report the assault to the criminal legal system, they often need informal support from family and friends throughout the long and frequently retraumatizing process of investigation and prosecution. This study is part of a long‐term community‐based participatory action research project in a predominately Black ...
Rebecca Campbell   +4 more
wiley   +1 more source

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