Results 131 to 140 of about 97,501 (249)

Multitarget Generate Electrolyte Additive for Lithium Metal Batteries

open access: yesAdvanced Materials, EarlyView.
This study presents a deep learning‐assisted generative model for electrolyte additives in lithium metal batteries (LMBs). The approach overcomes data scarcity by proposing the molecular categorization method and achieves 100% generative efficiency.
Xiangyang Liu   +12 more
wiley   +1 more source

Bioinspired Design of Heterogenous Single‐Atomic‐Site Catalysts for Electrocatalysis and Photocatalysis

open access: yesAdvanced Materials, EarlyView.
This review gives a summary on the representative bioinspired single‐atomic‐site catalysts (SACs) and their applications in heterogeneous electrocatalysis and photocatalysis. The fundamentals of bioinspired design strategies are systematically discussed in the context of the first shell coordination, the second/long‐range coordination, and the outer ...
Ying Wang   +4 more
wiley   +1 more source

Multi‐Agent‐Network‐Based Idea Generator for Zinc‐Ion Battery Electrolyte Discovery: A Case Study on Zinc Tetrafluoroborate Hydrate‐Based Deep Eutectic Electrolytes

open access: yesAdvanced Materials, EarlyView.
An LLM‐based multi‐agent network screens academic literature to propose multiple environmentally friendly aqueous deep eutectic electrolytes for zinc‐ion batteries. Experiments identify an optimal composition of Zn(BF4)2·xH2O and ethylene carbonate, which shows high conductivity and cycling stability.
Matthew J. Robson   +4 more
wiley   +1 more source

Disordered Rocksalts as High‐Energy and Earth‐Abundant Li‐Ion Cathodes

open access: yesAdvanced Materials, EarlyView.
Disordered rocksalts with lithium excess (DRX) offer a new direction in Li‐ion cathode design beyond conventional Ni‐ and Co‐based materials. This review highlights the design principles, synthesis strategies, and performance optimization of DRX oxides and oxyfluorides for energy‐dense, sustainable batteries using Earth‐abundant transition metals and ...
Han‐Ming Hau   +10 more
wiley   +1 more source

Exploring the radiochemistry of PARP inhibitors: a new era in therapy and imaging. [PDF]

open access: yesEJNMMI Radiopharm Chem
Destro G   +4 more
europepmc   +1 more source

Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis

open access: yesEnergetic Materials Frontiers
In this study, machine learning (ML)-assisted regression modeling was conducted to predict the thermal decomposition temperatures and explore the factors that correlate with the thermal stability of energetic materials (EMs).
Zhi-xiang Zhang   +6 more
doaj  

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