Results 91 to 100 of about 7,065 (218)

Machine Learning Potential for Calcium Silicate Hydrates With Broad Compositional and Structural Diversity

Advanced Science, EarlyView.
Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li, Cheng Chen, Roland J.‐M. Pellenq, Zongjin Li, Jiaping Liu   +4 more
wiley   +1 more source

Research on the Buckling Behavior of Functionally Graded Plates with Stiffeners Based on the Third-Order Shear Deformation Theory. [PDF]

Materials (Basel), 2019
Nguyen HN, Tan TC, Luat DT, Phan VD, Thom DV, Minh PV.   +5 more
europepmc   +1 more source

Mechanically Regulated Secretion: How Physical Forces Instruct the Secretory Pathway and Remodel the Secretome

Advanced Science, EarlyView.
Mechanical cues, including ECM stiffness, stretch, compression, shear stress, and traction forces, remodel trafficking across the secretory pathway, from the ER and Golgi to endolysosomal compartments and the plasma membrane. The resulting secretome reshapes ECM composition and tissue mechanics, establishing feedback loops that support homeostasis or ...
Domenico Russo, Seetharaman Parashuraman, Maria Luigia Maresca, Angela Francesca Dinoi, Alessia Calcagnì, Riccardo Rizzo   +5 more
wiley   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao, Riccardo Tognato, Micaela Natta, Elena Della Bella, Alessandro Cianciosi, Tiziano Serra   +5 more
wiley   +1 more source

The Key Technologies and Technological Evolution Mechanisms of Robotic Systems for Fracture Reduction Surgery

Advanced Intelligent Systems, EarlyView.
This review traces three decades of technological evolution in robot‐assisted fracture reduction systems, from early robotic concepts to clinically oriented platforms. Key advances in robotic architecture, navigation, path planning, interaction control, and surgical integration are summarized, while current translational challenges and future ...
Shaolong Kuang, Xiaoyang Hu, Jianhua Li, Fang Wang, Xue Zhang, Lihai Zhang   +5 more
wiley   +1 more source

Synergistic Effect on Enhanced Oil Recovery in High Salinity Carbonate Reservoirs Using a Novel PEI‐Functionalized Carbon Nanotube Nanocomposite

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Enhancing oil recovery (EOR) in mature reservoirs is hindered by high interfacial tension (IFT) and oil‐wet rock formations, especially under harsh, high‐salinity conditions. This study aims to overcome these limitations by synthesizing a novel carbon nanotube nanocomposite covalently grafted with polyethylenimine and non‐covalently ...
Mohamed Abu Shuheil, Dilipkumar S. Patel, N. Beemkumar, Tariq Abdulkader Alrihaim, Dhirendra Nath Thatoi, Ripendeep Singh, Rohit Kumar, Parminder Singh, Ahmad Khalid   +8 more
wiley   +1 more source

Physical Properties of Transition Metal Hydride Superconductors Mg2TmH6 (Tm = Rh, Pd, Ir, Pt) by First‐Principles Calculations

Advanced Physics Research, EarlyView.
The electronic band structure determines all the charge transport properties of crystalline solids. It also controls the optical response of the material. Bonding characters are strongly influenced by the band structure. The band structures of Mg2TmH6 (Tm = Rh, Pd, Ir, Pt) compounds shown above confirm their metallic nature.
Md Ashraful Alam, Md Abdul Hadi Shah, F. Parvin, S. H. Naqib   +3 more
wiley   +1 more source