Results 161 to 170 of about 515,617 (283)

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source

A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET Images

, 2016
Attila Forgács, Hermann Pall Jonsson, Magnus Dahlbom, Freddie Daver, Matthew D. DiFranco, Gábor Opposits, Aron K. Krizsan, Ildikó Garai, Johannes Czernin, József Varga, Lajos Trón, László Balkay   +11 more
openalex   +2 more sources

Subgrain and Cavity Development during Creep of Al‐3.85%Mg

Advanced Engineering Materials, EarlyView.
Al‐3.85%Mg does form subgrains if crept at very high strains. This fact allows the unification of the creep description in two different alloys such as pure Al and Al–Mg alloys. It is classically considered that the creep mechanisms for type M (e.g., pure Al) and type A alloys (e.g., Al–Mg alloys) are different.
Augusta Isaac, Itziar Serrano‐Munoz, Aleksander Kostka, Martinus Putra Widjaja, Gaspar González‐Doncel, Giovanni Bruno, Ricardo Fernández   +6 more
wiley   +1 more source

Correction: Glial reactivity in a mouse model of beta-amyloid deposition assessed by PET imaging of P2X7 receptor and TSPO using [11C]SMW139 and [18F]F-DPA

EJNMMI Research
Obada M. Alzghool, Richard Aarnio, Jatta S. Helin, Saara Wahlroos, Thomas Keller, Markus Matilainen, Junel Solis, Jonathan J. Danon, Michael Kassiou, Anniina Snellman, Olof Solin, Juha O. Rinne, Merja Haaparanta‑Solin   +12 more
doaj   +1 more source

PET Imaging of the Human Brain with Microvolumetric Spatial Resolution. [PDF]

J Nucl Med
Doyon V, Sarrhini O, Loignon-Houle F, Toussaint M, Auger É, Thibaudeau C, Croteau E, Lavallée É, Beaudoin JF, Leroux JD, Turcotte É, Lecomte R.   +11 more
europepmc   +1 more source

Dual-phase images with 18F-FDG PET/CT can exhibit new lesions of colo-rectal cancer

Şadiye Altun Tuzcu, İlbey Erkin Çetin, Fatih Güzel, Ekrem Çetinkaya, Ulaş Aday, Ali Uyar, Bekir Taşdemir   +6 more
openalex   +2 more sources

Zr-89 Immuno-PET Targeting Ectopic ATP Synthase Enables In-Vivo Imaging of Tumor Angiogenesis [PDF]

, 2019
Bok-Nam Park, Ga-Hee Kim, Seung-A Ko, Ga-Hee Shin, Su Jin Lee, Young‐Sil An, Joon‐Kee Yoon   +6 more
openalex   +1 more source

A Simulative Approach for the Prediction of Mesoscale Residual Stress Fields in Solution‐Strengthened Ferritic Ductile Iron

Advanced Engineering Materials, EarlyView.
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach, Oliver Schenk, Valérian Iss, Ali Rajaei, Jiali Zhang, Felix Weber, Christoph Broeckmann   +6 more
wiley   +1 more source

Development and characterisation of novel oxytocin analogues for PET imaging. [PDF]

Commun Chem
Pascali G, Parmar A, Zanoni S, Arthur A, Hering A, Teakle N, Markham J, Zhang B, Mackay T, Klenner M, Spare L, Greguric I, McDonald A, Bjelosevic A, Matesic L, Rahardjo G, Zahra D, Hamze H, Hickie IB, Banati RB, Gregoire MC, Young L, Muttenthaler M, Guastella AJ.   +23 more
europepmc   +1 more source

Evaluation of metabolic changes in FDG PET/CT imaging after mRNA-based COVID-19 vaccination

, 2022
Serkan İŞGÖREN, GİZEM KÖROĞLU, GÖZDE DAĞLIÖZ GÖRÜR, HAKAN DEMİR   +3 more
openalex   +2 more sources