Results 231 to 240 of about 4,674,317 (310)

A Fluorine‐Free, Low Ion Pair Electrolyte for Transition Metal‐Free and Halogen‐Free Sodium Batteries

Advanced Energy Materials, EarlyView.
Fluorine‐containing electrolytes dominate modern rechargeable batteries, yet the fundamental design principles for fluorine‐free systems remain largely unexplored. We demonstrate that fluorine‐free electrolyte chemistry can simultaneously achieve long cycle life, fast charging, and stable interphase formation in sodium‐ion batteries.
Dawei Xia, Pengcheng Li, He Zhou, Xu Feng, Dennis Nordlund, Weibo Huang, Ge Li, Feng Lin   +7 more
wiley   +1 more source

Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley   +1 more source

Misdiagnosis of esophageal leiomyoma combined with adrenal cortical adenoma as esophageal cancer with adrenal metastasis by fluorine-18-fluorodeoxyglucose positron emission tomography: A case report. [PDF]

Oncol Lett
Sun X, Lv L, Fan D, Huang Y, Zhu L, Liu H.   +5 more
europepmc   +1 more source

Electrolyte Interfacial Reactivity Regulates Alloying Anode Pulverization

Advanced Energy Materials, EarlyView.
Electrolyte interfacial reactivity governs the degradation of micrometer‐sized alloying anodes by dictating grain refinement and SEI growth. A high‐reactivity ester‐based electrolyte drives pulverization into fine nanoparticles encapsulated by a thick SEI, forming dense electrodes, whereas a low‐reactivity ether‐based electrolyte enables porous ...
Namhyung Kim, Yaobin Xu, Bharat Gwalani, Won‐Gwang Lim, Matthew R. Fayette, Guosheng Li, Mark H. Engelhard, Peiyuan Gao, Yulan Li, Shenyang Hu, Lili Liu, Jiyu Cai, Zonghai Chen, Md Jasim Uddin, Bhuvaneswari M. Sivakumar, Hsin‐Mei Kao, Zihua Zhu, Seoa Kim, Fredrick Omenya, David Reed, Chongmin Wang, Xiaolin Li   +21 more
wiley   +1 more source

Hetero-Diels-Alder and CuAAC Click Reactions for Fluorine-18 Labeling of Peptides: Automation and Comparative Study of the Two Methods. [PDF]

Molecules
Maujean T, Ramanoudjame SM, Riché S, Le Guen C, Boisson F, Muller S, Bonnet D, Gulea M, Marchand P.   +8 more
europepmc   +1 more source

Counter‐Halide‐Directed Ion‐Pair Passivation Enables High‐Performance Wide‐Bandgap Perovskites for Perovskite/Cu(In,Ga)Se2 Tandem Solar Cells

Advanced Energy Materials, EarlyView.
Counter‐halide engineering of fluorobenzylammonium surface passivators reveals bromide as the optimal partner for wide‐bandgap perovskites. FBz–Br effectively stabilizes halide‐vacancy‐related defects and undercoordinated Pb sites, suppresses non‐radiative recombination, and enhances surface hydrophobicity and thermal stability.
Huyen Tran, Dong Gyu Lee, Ahreum Lee, Inchan Hwang, Van Hung Tran, Jun Hyeok Choi, Junseop Byeon, Yu Jin Kim, Sang Hwan Nam, Jihye Gwak, Seung Kyu Ahn, Sungjun Hong, Kihwan Kim, Bong Joo Kang, Minwoo Park, SeJin Ahn, Tae Kyung Lee, Inyoung Jeong   +17 more
wiley   +1 more source

The accuracy of fluorine 18-labelled prostate-specific membrane antigen PET/CT and MRI for diagnosis of prostate cancer in PSA grey zone. [PDF]

Br J Cancer
Luo L, Wang R, Bai L, Shang J, Wang X, Chang R, Dong W, Li Y, Li Y, Liang H, Xie H, Duan X.   +11 more
europepmc   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

Generative and Experimental Validation of High Refractive Index Polymers via Domain Knowledge Approach with Small Data

Advanced Intelligent Discovery, EarlyView.
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo, Seigo Watanabe, Hana Matsunaga, Kenichi Oyaizu   +3 more
wiley   +1 more source