Results 181 to 190 of about 3,168,491 (292)

Cellulosic Hydrogels Comprising Cellulose Nanocrystals or Chitin Nanocrystals for Historic Ceramic Conservation. [PDF]

ACS Appl Mater Interfaces
Azpitarte Aretxabaleta M, García-Castrillo M, Boullosa LG, Sánchez SA, Jimenez de Aberasturi D, Lizundia E.   +5 more
europepmc   +1 more source

Nanocrystalline LCO/LLZO Composite Cathode Films for Solid State Batteries

Advanced Energy Materials, EarlyView.
A single precursor solution is solution‐deposited and calcined at only 750°C to yield a dense, nanograined LiCoO2/LLZO composite cathode, in which both phases crystallize independently with minimal interdiffusion. Assembled into all‐solid‐state Li‐metal batteries, the composite delivers 111.7 mAh g−1 initial discharge capacity and retains 93% after 100
Lucie Quincke, Steffen Weinmann, Jesse J. Hinricher, Matteo Galasso, Chiara Althammer, Fran Kurnia, Kun Joong Kim, Wolff‐Ragnar Kiebach, Jennifer L. M. Rupp   +8 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Optimization of Piezoelectric Materials and Ultrasound Imaging Transducers via Alternating Current Poling. [PDF]

Sensors (Basel)
Li Y, Wang H, Zhu K, Zheng C, Ma J, Sun E, Qi X, Zhang R.   +7 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Site Density Governs Switching Reactivity Regimes During Aerobic C─H Oxidation in Mn Single‐Atom Photocatalysts

Angewandte Chemie, EarlyView.
Increasing the density of isolated manganese (Mn) atoms in carbon nitride (CNx) photocatalysts does not continuously improve performance. Instead, beyond a critical loading, the polymer support reorganizes, altering charge‐carrier dynamics and oxygen activation while preserving atomic dispersion.
Viktoria Velichko, Agustín de Arriba, Areti Moutsiou, Elisabetta Inico, Andrea Olivati, Berta Pérez‐Román, Jesús López‐Sánchez, Ik Seon Kwon, Andrea Tonelli, Abhijit Roy, Valentina De Renzi, Raul Arenal, Annamaria Petrozza, Carlo Cavallotti, Gianvito Vilé   +14 more
wiley   +2 more sources

Progress in Advanced Ceramic Fibers: From Spinning Techniques to Frontier Applications. [PDF]

Materials (Basel)
Yan H, Xiang C, Qian H, Zhao C.
europepmc   +1 more source

A Compact, High‐Performance, and Deformation‐Resilient Trielectrode Electrostatic Soft Pump for Soft Robotics

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Existing soft pumps often require tradeoffs between performance and compatibility with soft robotic systems. The proposed trielectrode electrostatic soft pump addresses these limitations through an innovative driving mechanism. Its design, which includes a trielectrode configuration and the use of compliant materials, improves operational efficiency ...
Yangqiao Lin, Xiaoli Yang, Tao Jin, Jieyu Wang, Sicheng Yi, Yue Wang, Songyi Zhong, Tao Yue, Quan Zhang, Yingzhong Tian, Long Li   +10 more
wiley   +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

Environmental and Household Sources Associated with Elevated Blood Lead Levels Among Mexican Women of Childbearing Age: A Community-Based Screening Study. [PDF]

Toxics
Betanzos-Robledo L, Estrada-Gutierrez G, Lamadrid-Figueroa H, Vázquez-Gutiérrez K, Téllez-Rojo MM, Arora M, Cantoral A.   +6 more
europepmc   +1 more source