Development and optimization of polyoxometalate-modified metal-organic frameworks for efficient removal of sulfur and nitrogen compounds from diesel fuel under visible light. [PDF]
Fakhri H +6 more
europepmc +1 more source
Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang +4 more
wiley +1 more source
Water-mediated recycling of gold, palladium and platinum using semimetallic TiS<sub>2</sub> and TaS<sub>2</sub> nanosheets. [PDF]
Wei J +9 more
europepmc +1 more source
A mixed ion‐electron conducting polymer binder, PEDOT:PSSTFSI, enhances both ionic and electronic transport in NMC‐based positive electrode composite (PEC) for ASSBs. Optimal polymer loading (0.33 wt.% in PEC) provides the most balanced transport, with an effective conductivities (σel/σion) ratio closest to unity, enabling high discharge capacity at 1 ...
Elina Nazmutdinova +6 more
wiley +1 more source
Multi-guild microbial cooperation sustains long-term anaerobic toluene degradation through sulfur cycling. [PDF]
Matturro B +11 more
europepmc +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
Enhancement in hazardous gas detection capabilities of MoS<sub>2</sub> monolayer-based devices through defect engineering and photonic activation. [PDF]
Prajapat P +7 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source

