Results 151 to 160 of about 60,171 (287)

A Hydrogen‐Releasing Nanozyme Engineers a Mitochondrial ROS Amplifier for Self‐Sustaining Catalytic Immunotherapy

Advanced Science, EarlyView.
We developed a RhPd‐H nanozyme that integrates enhanced POD‐mimetic catalytic activity with thermally triggered H2 release. H2 shields and reprograms mitochondria to continuously leak endogenous ·O2−. This dual‐path ROS spatially and temporally disrupts redox homeostasis, inducing persistent oxidative stress for tumor suppression and antitumor immunity,
Mingfan Shi, Jingrui Cao, Tong Wu, Guang Yang, YaWen Yang, Shixin Zhang, Wenwen Su, Hongyu Chu, Yangyang Zhao, Shan Jiang, Qiong Wu, Dongxu Jiao, Fangfang Chen   +12 more
wiley   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Fluorine‐Doping of Mesoporous TiO2 Enables Efficient Defect Passivation for High‐Efficiency and Stable Perovskite Solar Cells

Advanced Science, EarlyView.
We introduce an SF6 RIE plasma fluorination method for mesoporous TiO2, suppressing oxygen vacancies and improving charge extraction. The fluorinated TiO2 promotes uniform FAPbI3 film formation and enhances device performance under both one‐sun and indoor illumination.
Hye W. Chun, Sang Yeon Lee, Sang Eun Yoon, Gyeong G. Jeon, Veera Murugan Arivunithi, So Jeong Shin, Min Jun Choi, Byeongsu Kim, Min‐Ho Lee, Dohyeon Jeon, Taekyeong Kim, Jung‐Yong Lee, Jong H. Kim   +12 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Two‐Dimensional Triferroics: From Fundamental Couplings to Multifunctional Applications

Advanced Science, EarlyView.
This graphic summarizes the three main types of currently reported 2D triferroic couplings. From the structural perspective, existing systems can be broadly classified into two categories, which exhibit distinct symmetry features and coupling behaviors. Beyond the lattice difference, a third type involves the interplay among ferroelectricity, magnetism,
Yang Li, Jialin Gong, Zhiqing Li
wiley   +1 more source

The Electronically Confined Space Analogy Elucidates How Second-Row Triatomic 18-Valence-Electron Molecules Shape Life and Light. [PDF]

ChemistryOpen
Poater J, Viñas C, Teixidor F.
europepmc   +1 more source

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

Advanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu, Linggang Zhu, Jian Zhou, Zhimei Sun   +3 more
wiley   +1 more source

KidneyTox_v1.0 enables explainable artificial intelligence prediction of nephrotoxicity in small molecules. [PDF]

Sci Rep
Amin SA, Kar S, Piotto S.
europepmc   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Effect of cerium oxide on physical, structural, and spectroscopic properties of tellurium-borate glasses for cool greenish light emitting devices. [PDF]

Sci Rep
Shiva Kumar BN, Vinay D, Devaraja C.
europepmc   +1 more source