Results 241 to 250 of about 1,872,450 (303)

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Ultramicropore-Confined Solvation and Interphase Regulation Unlock High-Performance Hard Carbon Anodes for Sodium-Ion Batteries. [PDF]

Nanomicro Lett
Tan S, Cheng Z, Xing J, Gao J, Huang Z, Hou H, Tian Z, Lai Y, Li J, Li S, Ji X.   +10 more
europepmc   +1 more source

Design and performance analysis of a 7S2P sodium-ion battery pack for unmanned aerial vehicle applications

S.S. Lokhande, I.E. Meitei
openalex   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Reaction Mechanism, Challenges, and Strategies of High-Energy-Density Sodium-Ion Batteries. [PDF]

Adv Sci (Weinh)
Yu D, Cui Y, Chen Q, Gao L, Liu X, Li T, Zhu W, Li Q, Kang W.   +8 more
europepmc   +1 more source

Functionalization and Analysis of Hard Carbon Surfaces for Sodium-Ion Batteries

Felix Manfred Bauer
openalex   +1 more source

Probing Machine Learning Interatomic Potentials on Ion Transport Properties

Advanced Intelligent Discovery, EarlyView.
We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia, Ming Hu, Adji Bousso Dieng   +2 more
wiley   +1 more source

Air-stable sodium dimethylglyoxime as a cathode presodiation additive for high-energy-density sodium-ion batteries. [PDF]

Chem Sci
Zhao Z, Lv L, Xu X, Sun J, Tong Y, Zhang K, Huang W.   +6 more
europepmc   +1 more source

Strain‐Tolerant Layered Oxide Cathode for Sodium‐Ion Batteries Enabled by a Coherent Perovskite Phase [PDF]

Xuansi Jiang, Hongkai Yang, Tianxiang Wei, Ziqin Jiao, Pincheng Lin, Qinghao Lai, Bingbing Wang, Jiajie Liu, Feng Ming Pan   +8 more
openalex   +1 more source

Functionalized TiO2 Catalysts: Revolutionary Candidate for Low‐Temperature MgH2 and Prospects for Intelligent Integration

Advanced Intelligent Discovery, EarlyView.
Recent advances in TiO2 modification strategies: structure regulation and composite engineering for improved activity and functionality. TiO2 has emerged as a pivotal catalyst for enhancing MgH2, a high‐capacity solid‐state hydrogen storage material, owing to its structural versatility.
Xiaopeng Chu, Jinghao Wang, Haojie Shi, Chuanxin Peng, Jiacheng Qi, Ge Gao, Guoquan Na, Haibo Yu, Kela Xiao, Gangqiang Wu, Zhendong Yao   +10 more
wiley   +1 more source