Results 231 to 240 of about 475,897 (380)

Algorithm of Estimation of the Degree of Porosity Homogeneity of Foamed Concretes by Local Volumes by X-ray Computed Tomography Method. [PDF]

Materials (Basel), 2023
Osipov S, Prischepa I.
europepmc   +1 more source

Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders

Advanced Functional Materials, EarlyView.
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao, Zhengyang Cao, Guangjun Zhong, Limin Shi, Junxia Xie, Jianhua Hao   +5 more
wiley   +1 more source

Application of X-Ray Computed Tomography to Identify Defects in Lost Wax Ceramic Moulds for Precision Casting of Turbine Blades. [PDF]

Materials (Basel)
Żaba K, Gracz D, Trzepieciński T, Książek M, Sitek R, Tchórz A, Balcerzak M, Wałach D.   +7 more
europepmc   +1 more source

Machine learning assists in increasing the time resolution of X-ray computed tomography applied to mineral precipitation in porous media. [PDF]

Sci Rep, 2023
Lee D, Weinhardt F, Hommel J, Piotrowski J, Class H, Steeb H.   +5 more
europepmc   +1 more source

Anionic Citrate‐Based 3D‐Printed Scaffolds for Tunable and Sustained Orthobiologic Delivery to Enhance Tissue Regeneration

Advanced Functional Materials, EarlyView.
A potent anionic citric acid‐based 3D‐printed scaffold is developed for the sustained and controlled release of orthobiologics to enhance orthopedic therapeutic efficacy. Comprehensive in vivo studies demonstrated effective bone fusion and high safety at a low dose of BMP‐2 delivered by the system, establishing it as a promising platform for safe ...
Se‐Hwan Lee, Ruqiang Lu, Andrew House, Zizhao Li, Lindsey Hammond Burton, Katie Josephine Sikes, Lynn Marie Pezzanite, Drew William Koch, Kevin Michael Labus, Ben Gadomski, Jeremiah Easley, Richard Tuan Tran, Su Chin Heo   +12 more
wiley   +1 more source

The potential of X-ray computed tomography for xylological and dendrochronological analyses of Egyptian mummy labels. [PDF]

PLoS One
Blondel F, Bélot G, Corona C, Huebner SR, Stoffel M.   +4 more
europepmc   +1 more source

Machine Learning Estimation of Plateau Stress of Aluminum Foam Using X-ray Computed Tomography Images. [PDF]

Materials (Basel), 2023
Hangai Y, Ozawa S, Okada K, Tanaka Y, Amagai K, Suzuki R.   +5 more
europepmc   +1 more source

X-ray Computed Tomography and Stereo-Radiographic Inspection Results of the Office of Emergency Response (NA-42) Test Object [PDF]

, 2005
K N Gibbs, Joshua Jones
openalex   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Growth of broken crystals tracked in 4D using X-ray computed tomography and its influence on impurity incorporation. [PDF]

Sci Rep
Schiele SA, Haider T, Briesen H.
europepmc   +1 more source