Results 201 to 210 of about 254,430 (319)

Universal Oxychlorination Strategy in Halide Solid Electrolytes for All‐Solid‐State Batteries

Advanced Energy Materials, EarlyView.
A WO2Cl2‐driven oxychlorination strategy enables bulk oxygen incorporation into close‐packed LixMCl6 (M = Zr, Y, Er, In) halide lattices. Oxygen is selectively anchored by W6+ as lattice‐integrated [WO2Cl4]2− units, regulating the anionic framework, diversifying Li coordination, and weakening Li–Cl interactions.
Jae‐Seung Kim, Heeju Park, Hae‐Yong Kim, Eunryeol Lee, Heewon Kim, Soeul Lee, Jinyeong Choe, Jiwon Seo, Hyeon‐Jong Lee, Hojoon Kim, Jemin Yeon, Yoon Seok Jung, Kyung‐Wan Nam, Dong‐Hwa Seo   +13 more
wiley   +1 more source

Wavelet-enhanced boundary adaptation network for liver hemangioma segmentation in non-contrast CT. [PDF]

Front Oncol
Zeng B, Zhang L, Peng L, Cao W, Fan X, Sun X, Gao X.   +6 more
europepmc   +1 more source

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

Estimation of the Relative Chlorophyll Content of Pear Leaves Based on Field Spectrometry in Alaer, Xinjiang. [PDF]

Sensors (Basel)
Huang Y, Fan Z, Wu H, Zhang X, Liu Y.
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Interference-aware frequency-agile onboard processor using fine-grained multilevel analysis-synthesis filter-bank channelization. [PDF]

Sci Rep
Sarkar S, Das A, Mishra D, Gupta A.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

S2SWCLIP: semantic-optimized prompts with spatial-wavelet synergy for zero-shot anomaly detection. [PDF]

Sci Rep
Zhang H, Wu C, Lu J, Jing M.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering. [PDF]

Sci Rep
Tao X, Ben M, Xuan HCY, Arshaghi A.
europepmc   +1 more source