Results 111 to 120 of about 12,152 (206)

Emerging research directions in nanoparticle‐based foam control for bioprocessing: a bibliometric approach

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract Overfoaming remains a critical challenge in industrial bioprocesses, compromising mass transfer, operational stability, and downstream efficiency in bioreactors and wastewater treatment systems. This study provides a bibliometric and scientometric assessment of nanoparticle‐enabled foam control to map technological trends and identify research
Antonio Átila Menezes Ferreira   +6 more
wiley   +1 more source

Exploring the potential of ucuúba (Virola surinamensis) seed fat

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract Ucuúba (Virola surinamensis) fat is an important income source for Amazonian communities. Local businesses typically process whole seeds for fat extraction; however, seed structural integrity may influence extraction efficiency and fat quality.
Juan David Marmolejo Tascón   +4 more
wiley   +1 more source

Advancing Upcycling and Regeneration of Spent LiFePO4: Failure Mechanisms and Recovery Strategies

open access: yesCarbon Energy, EarlyView.
This review studies the failure mechanism to promote the upcycling regeneration of spent lithium iron phosphate (S‐LFP). It first summarizes the failure mechanisms of LFP batteries revealed via advanced characterization technologies and then explores the respective advantages and challenges of hydrometallurgy and direct regeneration methods.
Yi Wang   +6 more
wiley   +1 more source

Tailoring Se‐Mediated Co‐Co Dual‐Atom Sites for Oxygen and Iodide Electrocatalysis Toward High‐Efficiency and Ultradurable Zinc‐Air/Iodide Hybrid Batteries

open access: yesCarbon Energy, EarlyView.
A Se‐mediated Co dual‐atom catalyst replaces sluggish oxygen evolution with efficient iodide oxidation in zinc‐air/iodide hybrid batteries. Se‐induced d‐p orbital hybridization optimizes adsorption, enabling a low 0.365 V voltage gap and superior durability, fundamentally overcoming conventional kinetic bottlenecks.
Huaipeng Pang   +6 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su   +4 more
wiley   +1 more source

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