Results 131 to 140 of about 225,557 (254)

Atomically Dispersed Ni Site Catalysts Accelerating Sluggish Sulfur Redox Kinetics in Nonaqueous Zn‐S Batteries

Advanced Functional Materials, EarlyView.
An atomically dispersed Ni catalyst featuring Ni‐N4 coordination is developed as a sulfur host for nonaqueous Zn─S batteries. This configuration modulates the electronic structure to lower activation barriers during rate‐limiting steps and promotes a robust ZnF2‐rich cathode‐electrolyte interphase, thereby accelerating sulfur redox kinetics ...
Junhyuk Ji, Dongwoo Kim, Nuri Moon, Daehwan Kim, Keon Kim, Nahyung Kim, Young Yong Kim, Won Bae Kim   +7 more
wiley   +1 more source

Coherence evaluation and first demonstration of multi-contrast X-ray computed tomography on NanoTerasu BL09W with an X-ray Talbot interferometer. [PDF]

J Synchrotron Radiat
Ueda R, Liang X, Kamezawa C, Sumiishi H, Bishago Y, Nishio T, Yoshida J, Daimon M, Hiramoto S, Voegeli W, Shirasawa T, Vagovič P, Yamane H, Nakamura T, Yashiro W.   +14 more
europepmc   +1 more source

Make‐Use‐Remake: Toward Indefinite Low‐Temperature Material Loops

Advanced Functional Materials, EarlyView.
We introduce a regenerable materials platform built from microparticles bound by a temperature‐responsive polymer shell, enabling strong, processable structures from diverse feedstocks. The material is shaped at low temperatures (80°C) using common manufacturing methods and reprocessed repeatedly in the presence of water, demonstrating stable ...
Nikola Křivánková, Wouter van der Wijngaart, Ulrica Edlund   +2 more
wiley   +1 more source

Internal defect database of mechanically deformed ferritic steel via X-ray computed tomography. [PDF]

Sci Data
Lee G, Yi GH, Tiong LCO, Sohn SS, Kim D.
europepmc   +1 more source

3D image scanning of gravel soil using in-situ X-ray computed tomography. [PDF]

Sci Rep, 2023
Matsumura S, Kondo A, Nakamura K, Mizutani T, Kohama E, Wada K, Kobayashi T, Roy N, Frost JD.   +8 more
europepmc   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

Advanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj, Xilal Y. Rima, Kim T. Nguyen, Courtney Culkins, Nana Boateng, Jacob Doon‐Ralls, Alejandro Bresolin, Xin Huang, Hong Li, Vahedi Amid, Ajeet Pal Singh, Dharti Shantaram, Anastasiia Amari, Mangesh D. Hade, Nicholas R. Merriam, Zachary D. Schultz, Scott Q. Harper, Nizar Y. Saad, Setty M. Magaña, Willa A. Hsueh, Rachel E. Kopec, Blaise R. Kimmel, Andre F. Palmer, Eduardo Reátegui   +23 more
wiley   +1 more source

Evaluating Optical Coherence Tomography and X-Ray Computed Tomography to Measure Tablet Film Coat Thickness. [PDF]

Pharmaceutics
Sanchez E, Eastman T, Potter J, Meyer R.
europepmc   +1 more source

Reconstruction of Sparse-View X-ray Computed Tomography Based on Adaptive Total Variation Minimization. [PDF]

Micromachines (Basel), 2023
Yu Z, Wen X, Yang Y.
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Quantifying Impacts of Biomass Pelletization on Fast Pyrolysis Using a Single-Particle Reactor, X‑ray Computed Tomography, and Computational Modeling. [PDF]

Energy Fuels
Crowley MF, Seiser R, Posada MAS, Maya JC, Chejne F, Sitaraman H, Usseglio-Viretta F, Starace AK, Ciesielski PN.   +8 more
europepmc   +1 more source