Results 111 to 120 of about 48,053 (237)

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Decoding Proton‐Coupled Electron Transfer Mechanism of Nicotine for Multi‐Scenario Portable Electrochemical Sensing

Advanced Science, EarlyView.
A key challenge in nicotine electroanalysis is the unresolved complexity of its interface process, which directly determines sensor metrics. Herein, the proton‐coupled electron transfer mechanism of nicotine is decoded for multi‐scenario portable electrochemical sensing.
Yi Peng, Qinyi Cao, Qianyu Shen, Yuhang Zhang, Shiyu Hu, Hongdou Yi, Qian Liu, Lihui Ou, Qiang Li, Zhaohong Su   +9 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Non‐Equilibrium Synthesis Methods to Create Metastable and High‐Entropy Nanomaterials

Advanced Science, EarlyView.
ABSTRACT Stabilizing multiple elements within a single phase enables the creation of advanced materials with exceptional properties arising from their complex composition. However, under equilibrium conditions, the Hume–Rothery rules impose strict limitations on solid‐state miscibility, restricting combinations of elements with mismatched crystal ...
Shuo Liu, Chaochao Dun, Jeffrey J. Urban, Mark T. Swihart   +3 more
wiley   +1 more source

Large Room Temperature Anomalous Nernst Effect Coupled with Topological Nernst Effect from Incommensurate Spin Structure in a Kagome Antiferromagnet

Advanced Science, EarlyView.
This study demonstrates that ErMn₆Sn₆, a kagome antiferromagnet hosting incommensurate spin textures, sustains finite scalar spin chirality that drives topological states. The anomalous Nernst effect (ANE) originates from the strong Berry curvature of Chern‐gapped Dirac fermions, while the topological Nernst effect (TNE) arises from emergent fields ...
Jiajun Ma, Jiaxing Liao, Yazhou Li, Yuwei Zhang, Jialu Wang, Jinke Bao, Yan Sun, Shuang Jia, Yuke Li   +8 more
wiley   +1 more source

Systematic Engineering of Proteases in Saccharopolyspora Spinosa Reveals Synergistic Enhancement of Spinosad Biosynthesis via Substrate Flux Optimization

Advanced Science, EarlyView.
ARTP mutagenesis yielded Saccharopolyspora spinosa mutant D184 with improved extracellular nitrogen utilization. An integrated workflow of protease genetic manipulation, multi‐omics, and rational synergy design pinpointed a pepP‐clpP‐htpX synergistic triangular combination.
Duo Jin, Wangqiong Chen, Danlu Yang, Qing Liu, Baolong Bai, Zirui Dai, Xirong Liu, Zirong Zhu, Jie Rang, Liqiu Xia   +9 more
wiley   +1 more source

Urea‐Formaldehyde Resin Confined Silicon Nanodots Composites: High‐Performance and Ultralong Persistent Luminescence for Dynamic AI Information Encryption

Advanced Science, EarlyView.
Schematic illustration of SiNDs composite materials synthesis and its internal photophysical process mechanism. And an AI‐assisted dynamic information encryption process. ABSTRACT Persistent luminescence materials typically encounter an intrinsic trade‐off between high phosphorescence quantum yield (PhQY) and ultralong phosphorescence lifetime.
Yulu Liu, Lei Cao, Lele Gao, Panyong Wang, Qiannan You, Xinpei Pang, Li Li, Mingzheng Jia, Wen‐Fei Dong, Minghui Zan   +9 more
wiley   +1 more source

Understanding the Interplay Between Thermal Activation, Diffusion, and Phase Segregation of Molecular Dopants Blended with Polymeric Semiconductors

Advanced Electronic Materials, EarlyView.
The use of air stable but thermally labile molecules provides an efficient strategy for the N‐type doping of organic semiconductors with relatively low electron affinities. Design criteria for efficient dopants should also take into account diffusion and phase segregation that cannot be decoupled from thermally activated doping.
Francesca Pallini, Sara Mattiello, Mauro Sassi, Gabriele Paoli, Giuseppe Mattioli, Pietro Rossi, Giulia Coco, Alberto D. Scaccabarozzi, Brian Minki Kim, Pietro Mariani, Hiba Wakidi, Sadie M. Flagg, Massimiliano D'Arienzo, Mario Caironi, Thuc‐Quyen Nguyen, Luca Beverina   +15 more
wiley   +1 more source

Stability of Perovskite Indoor Photovoltaics: A Focused Review and a Call for Standardized Stability Reporting

Advanced Energy Materials, EarlyView.
While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo, Arezo Mahdavi Varposhti, Cyril Chu Fubin Kumachang, Gopal Krishnamurthy Grandhi, Vincenzo Pecunia, Thomas Meredith Brown, Paola Vivo, Nutifafa Yao Doumon   +7 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source