Results 191 to 200 of about 45,791 (263)

Resolving Oxidative and Corrosive Calendar‐Aging via Electrolyte Engineering for Stable Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
A weakly solvating ether solvent, 1,2‐dimethoxypropane (DMP), is proposed for use in localized high‐concentration electrolytes (LHCEs) for lithium metal batteries (LMBs). These DMP‐based LHCEs simultaneously suppress lithium metal corrosion and cathode degradation—two interrelated processes that accelerate calendar aging of LMBs.
Jisub Kim, Ihnkyung Jung, Kyunam Lee, Insu Hwang, Minkwan Kim, Eunseok Park, Dongmin Park, Hayoung Park, Yonggoon Jeon, Gaeun Park, Hyo Chul Ahn, Jihoon Oh, Jungwon Park, Ali Coskun, Jang Wook Choi   +14 more
wiley   +1 more source

Combination of quantum-based optimizer and feature pyramid network for intrusion detection in Cloud-IoT environments. [PDF]

Sci Rep
Hajlaoui R, Shalaby M, Alfilh RHC, Singh NSS.   +3 more
europepmc   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

A novel approach for dynamic task scheduling for IOT in fog-cloud environment. [PDF]

Sci Rep
Mindil A, Hamed AY, Hassan MR, Elnahary MK.   +3 more
europepmc   +1 more source

Quantum Search Algorithm

, 2011
Li, Che-Ming, Hsieh, Jin-Yuan, Chuu, Der-San   +2 more
openaire   +3 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
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, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Quantum computing and the implementation of precision medicine. [PDF]

NPJ Genom Med
Nassir N, Hashmi MA, Raji KG, Jamalalail B, Maksymowsky A, Scherer SW, Alsheikh-Ali A, Uddin M.   +7 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Parameters optimization of photovoltaic systems using modified quantum inspired particle swarm method. [PDF]

Sci Rep
Rehman ZU, Rehman OU, Munshi A, Saeed MA, Rehman SU.   +4 more
europepmc   +1 more source