Results 81 to 90 of about 13,735 (261)

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

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

Optimizing Electrode Design for Functional Activation of Human Pluripotent Stem Cell‐Derived Cardiomyocytes

Advanced NanoBiomed Research, EarlyView.
Electrical stimulation of human pluripotent stem cell‐derived cardiomyocytes is systematically investigated as a function of electrode material and configuration. Stimulation efficiency is found to be governed predominantly by electrode geometry, with increased electrode area and proximity to cells enabling more effective pacing.
Gustavo Ramirez‐Calderon, Abdulelah Saleh, Tania Cecilia Hidalgo Castillo, Anil Koklu, Adel Hama, Gabriel Herrera‐Lopez, Veronica Astro, Yazmin Hernández Mustafá, Plácido D. Jorge Collet, Lamia Bin Thuwaini, Pierre J. Magistretti, Antonio Adamo, Sahika Inal   +12 more
wiley   +1 more source

Neurovascular coupling in bone regeneration: Mechanisms, advanced biomaterials and challenges

BMEMat, EarlyView.
This figure illustrates various material strategies for neurovascularized bone regeneration, including electroactive scaffolds, ion‐loaded materials, drug delivery systems, surface modifications, cells/cell products, growth factors, and peptides. These approaches aim to synergistically promote the regeneration of neural, vascular, and bone tissues ...
Yixin Ma, Nan Jiang, Liyuan Chen, He Zhang, Xinjia Cai, Karan Gulati, Danqing He, Zhigang Cai, Yan Liu   +8 more
wiley   +1 more source

Top-down fabrication of TiN nanogap electrodes via lithographic patterning and plasma-assisted dimensional transfer

Micro and Nano Engineering
Controlled fabrication of titanium nitride nanogap electrodes is critical for advancing molecular, bio-, and hybrid nanoelectronic interfaces, where device performance depends strongly on interelectrode gap geometry.
Saadman Abedin, Peggy Reich, Jörn Pezoldt, Katharina Freiberg, Heike Bartsch, Jens Müller, Doris Heinrich, Jörg Pezoldt   +7 more
doaj   +1 more source

A narrow bandgap Schottky heterojunction Fe2N/CeO2 microneedle triggering sonodynamic reactive oxygen species storm for drug‐resistance‐free skin fungal infection

BMEMat, EarlyView.
Inorganic sonosensitizers suffer from inefficient electron‐hole separation, rapid recombination, and wide bandgaps in anti‐fungal applications. We propose MN@Fe2N/CeO2 to directly eliminate fungi without drug resistance. Combining semiconductor CeO2's advantages with Fe2N's high work function and activity enables efficient Schottky heterojunctions ...
Li Wang, Jiayi Yang, Ning Tang, Youbin Zheng, Yichao Hou, Chutong Liu, Lihao Guo, Yingying Liao, Gandong Zhou, Weiwei Wu, Xin Du, Shuxiang Xu, Jie Yin, Miaomiao Yuan   +13 more
wiley   +1 more source

Graphene Materials for Sustainable Energy Applications: A Contemporary Perspective

Carbon Energy, EarlyView.
ABSTRACT Graphene has garnered significant attention as a promising material with great potential for contributing to sustainable energy initiatives, such as RE100 (100% renewable energy initiative) and CF100 (100% carbon‐free initiative). This review aims to explore the potential of graphene for advancing renewable energy applications by highlighting
Niraj Kumar, Seul‐Yi Lee, Roop L. Mahajan, Soo‐Jin Park   +3 more
wiley   +1 more source

Research Progress on V2CTx MXene‐Based Composites: Synthetic Strategies, Structure Design, and Multifunctional Applications

Carbon Energy, EarlyView.
This review systematically and comprehensively summarizes the latest research progress on V2CTx MXene. Focusing on the structural design strategies, particularly the construction of the V2CTx‐based hetero‐composite structure. Furthermore, widespread applications including electrochemical energy storage and conversion, as well as photocatalytic ...
Wenjun Zhu, Minghai Zhao, Min Fan, Jianmin Luo, Jian Tian, Xinhui Xia, Wenkui Zhang, Xinyong Tao, Yanxian Jin, Yang Xia   +9 more
wiley   +1 more source

Growth of the Stabilized HeLa Cell line in Chromium-Cobalt Extract of Surface - Layered Titanium Nitride and Zirconium Nitride

Česká Stomatologie a Praktické Zubní Lékařství, 2005
The materials used recently in dental implantology are exclusively made of titanium alloy. This is reflected in a difficult processing of the material.Preparation and economic point of view are also very demanding.
P. Prachár, J. Vaněk, S. Bartáková, V. Březina   +3 more
doaj  

Electrospun Porous Materials for the Next‐Generation Proton Exchange Membrane Fuel Cells: Progress, Challenges, and AI‐Optimized Perspectives

Carbon Energy, EarlyView.
Incorporating AI to optimize solution, process, and environment enables efficient prediction of structural properties and performance, allowing tailoring of GDL, CL, and PEM fabrication to guide PEMFC toward 9.0 kW L‒1 by 2040. ABSTRACT The performance and commercial viability of proton exchange membrane fuel cells (PEMFCs) are constrained by key ...
Shangfeng Jiang, Panfeng Wang, You Gong, Zeyu Sun, Huatan Chen, Geng Wang, Ting Tao, Chuang Zhai, Xi Wang, Ruixin Chen, Jiaxin Jiang, Bingrong Zhang   +11 more
wiley   +1 more source