Results 91 to 100 of about 21,513 (291)

Synergetic Lattice and Surface Engineering: Stable High‐Voltage Cycle Performance in P3‐Type Layered Manganese Oxide

Advanced Energy Materials, EarlyView.
A dual lattice‐surface strategy employing NaTi2(PO4)3 is adopted to enhance the performance of P3‐type Na0.67[Zn0.3Mn0.7]O2, whereby Ti stabilizes the bulk lattice and surface P species mitigate degradation, collectively improving high‐voltage cycling stability, Na+ diffusion, and oxygen redox reversibility through synergistic structural and ...
Natalia Voronina, Konstantin Köster, Jun Ho Yu, Sungkyu Kim, A‐Yeon Kim, Hun‐Gi Jung, Kyuwook Ihm, Koji Yazawa, Hitoshi Yashiro, Aishuak Konarov, Mark Huijben, Olivier Guillon, Payam Kaghazchi, Seung‐Taek Myung   +13 more
wiley   +1 more source

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

Modulating Li+ and Polysulfide Solvation with Low‐Density Moderately Solvating Electrolytes for Lithium–Sulfur Batteries

Angewandte Chemie, EarlyView.
A low‐density, nonfluorinated moderately solvating electrolyte (MSE) composed of methyl tert–butyl ether concurrently tunes Li+ and polysulfide solvation, lowering desolvation barrier and mitigating polysulfide shuttling. It effectively stabilizes both electrodes and enables stable cycling of Li–S batteries under practical parameters at room ...
Tianxing Lai, Kameron Liao, Arumugam Manthiram   +2 more
wiley   +2 more sources

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

Electric and Temperature Field‐Modulated Periodic Repair of the Electrode/Electrolyte Interface toward Long Cycle Stability of Low‐Temperature Li‐Ion Batteries

Advanced Energy and Sustainability Research, EarlyView.
This study introduces a temperature‐electric field synergy strategy to enhance lithium‐ion battery performance at low temperatures. It reveals interfacial mechanisms: low temperatures cause deterioration, while room temperature aids stable interphase formation.
Zhenqiang Guo, Chengling Yang, Yu Fan, Yancai Zhang, Haolun Zou, Yukun Yan, Hongbin Zhang, Zhenhui Liu, Zinuo Chen, Sitong Peng, Ziyi Dang, Hengyi Li   +11 more
wiley   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Hybrid Convolutional Neural Network‐Analytical Model for Prediction of Line Edge Roughness‐Induced Performance Variations in Fin‐Shaped Field‐Effect Transistor Devices and SRAM

Advanced Intelligent Systems, EarlyView.
This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim, Myongjin Kim, Changwoo Han, Hyoung Won Baac, Changhwan Shin   +4 more
wiley   +1 more source

Efficient RDF Graph Storage based on Reinforcement Learning [PDF]

, 2020
Lei Zheng, Ziming Shen, Hongzhi Wang
openalex   +1 more source

Publishing Persian Linked Data; Challenges and Lessons Learned

International Journal of Information and Communication Technology Research, 2010
Linked Data as an important and novel subject has attracted great attention in the realm of the Semantic Web. Many works deal with publishing existing datasets as Linked Data.
Samad Paydar, Mohsen Kahani, Behshid Behkamal, Mahboobeh Dadkhah   +3 more
doaj