Results 201 to 210 of about 653,157 (286)

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Language-assisted multimodal convolutional transformer pipeline for retinal lesions segmentation. [PDF]

Sci Rep
Khan W, Alsaffar M, Abrar MF, Hassan T.
europepmc   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Mitigating Stress‐Induced Nonphotoactive Phase Transition Through Sodium Sulfonate Engineering for Stable and Efficient Perovskite Solar Cells

Angewandte Chemie, EarlyView.
To address the phase stability issue of α‐FAPbI3, we employed a cation doping strategy using 1‐decanesulfonate (C10H21NaO3S). This doping releases lattice strain and suppresses the formation of the δ‐phase, enabling breakthrough performance in perovskite solar cells with a power conversion efficiency of 26.67% and excellent thermal and photostability ...
Zhihuan Tang, Mingzi Sun, Jinghao Ge, Ying Wang, Yunfan Wang, Yiran Tao, Lu Zhang, Xinhui Lu, Sai‐Wing Tsang, Weizhong Tian, Rui Wang, Hao‐Chung Kuo, Bolong Huang, Shengzhong (Frank) Liu, Jiaxue You, Alex K. Y. Jen   +15 more
wiley   +2 more sources

Multiscale Decomposition Reveals Predictable Interannual Variability and Climate Trends in Antarctic Sea Ice Loss

Hosking JS, Yatsyshin P, Lapo K, Smith J, Strickson O, Zeeland Lv, Kutz N.   +6 more
europepmc   +1 more source

Transfer Entropy Causal Networks for Interconnectedness Analysis of Global Banking and Green Markets: A CEEMDAN-SE-KM Approach. [PDF]

Entropy (Basel)
Xue Q, Jin X, Yu J, Liu Y.
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Reinforcing Particle Architectural Stability of Li‐Rich Cathode With Enhanced Anionic Redox Reaction Reversibility

Angewandte Chemie, EarlyView.
In this work, we establish a direct correlation between internal compactness and particle architectural stability, identifying it as a key descriptor of cathode structural integrity. Simultaneously, the capacity contribution and compensation mechanism of ARR are resolved, revealing that the extent of irreversible capacity loss is governed by both the ...
Yizhen Huang, Bixian Ying, Chunpu Li, Maolin Yang, Kang Zhang, Guifan Zeng, Jiyuan Xue, Yuan Tian, Wei Li, Chunjing Hu, Tao Zeng, Peng Zhang, Chao Li, Yinguo Xiao, Huaqiang Chen, Tian Qiu, Stefan Schuppler, Peter Nagel, Jin Yi, Changming Qu, Jia‐Wei Wang, Fanghua Ning, Qingsong Wang, Yu Qiao, Shi‐Gang Sun   +24 more
wiley   +2 more sources

Mechanically Robust and Flexible Nitride Ceramic Nanofibers Enabling Advanced Thermal Management. [PDF]

Adv Mater
Liu Y, Wu F, Dai J, Qiang S, Zhu C, Kim IS, Yu J, Liu YT, Ding B.   +8 more
europepmc   +1 more source

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

Advanced NanoBiomed Research, EarlyView.
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley   +1 more source