Results 141 to 150 of about 75,517 (292)

Thermal Neutron Flux Estimation in the Inner and Outer Irradiation Channels of NIRR-1 Leu Core

UMYU Scientifica Journal
This research work focused on the determination of the effective cross-section and thermal neutron flux of the inner (B2) and outer (B4) irradiation channels of the Nigeria Research Reactor-1 (NIRR-1).
Muhammad Taha Umar, Muhammad Salis Anas
doaj   +1 more source

Targeted Endoradiotherapy with Lu₂O₃-iPSMA/-iFAP Nanoparticles Activated by Neutron Irradiation: Preclinical Evaluation and First Patient Image. [PDF]

Pharmaceutics, 2022
Luna-Gutiérrez M, Ocampo-García B, Jiménez-Mancilla N, Ancira-Cortez A, Trujillo-Benítez D, Hernández-Jiménez T, Ramírez-Nava G, Hernández-Ramírez R, Santos-Cuevas C, Ferro-Flores G.   +9 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Study of Irradiation Properties of Aluminum Alloy in Research Reactor

Yuanzineng kexue jishu
Owing to its intrinsic superior characteristics of good conductivity, light weight, high specific strength, easy processing, small thermal neutron cross sections, small activation cross sections, fast decay of radiation induced radiation energy, good ...
ZENG Zhen1, YANG Xiao2, , FANG Yonggang1, CAI Guangbo2, CHU Qibao1, ZHANG Yu2, TANG Qi2, ZHANG Changyi2, MA Ruoqun1
doaj   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Predicting Crystal Structures and Ionic Conductivities in Li3YCl6−xBrx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

Advanced Intelligent Systems, EarlyView.
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley   +1 more source

Products of neutron irradiation [PDF]

Journal of Chemical Education, 1989
openaire   +1 more source

PEG Alternatives in Liposomal Nanocarriers: Physicochemical Characteristics and Sustainable Process Strategies

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The global trend toward sustainable and intensified bioprocesses is driving innovation in the design and scalable synthesis of liposomal nanocarriers, a cornerstone of modern drug delivery. For decades, these nanosystems have relied exclusively on polyethylene glycol (PEG) for their sustained circulation in vivo, but they are currently ...
Chandra Has
wiley   +1 more source

MicroCT reinvestigation of the only articulated fossil anostomid fish reveals synonymy of Arhinolemur Ameghino, 1898 and Megaleporinus Ramirez et al., 2017

The Anatomical Record, EarlyView.
Abstract Arhinolemur scalabrinii† Ameghino, 1898 was originally described as a strepsirrhine primate (Mammalia) but has been recognized as an anostomid fish since 2012. It remains the only extinct anostomid species known from complete cranial material.
Karen M. Panzeri, Humberto L. Andrelino, Sergio Bogan, José P. O'Gorman, Federico Agnolín, Brian L. Sidlauskas, Nahuel Vega, Agustín G. Martinelli, José L. Birindelli   +8 more
wiley   +1 more source

Variable Temperature Studies of Two Calcium Uranates α‐Ca3UO6 and Ca2UO5

Chemistry – A European Journal, EarlyView.
The structures and thermal responses of the calcium uranates α‐Ca3UO6 and Ca2UO5 were investigated using in situ synchrotron x‐ray diffraction and neutron powder diffraction. Despite the very similar chemical compositions, the structural response of the two calcium uranates is shown to be complex and varied.
Maria K. Nicholas, Timothy A. Ablott, Caleb J. Bennett, Bryce G. Mullens, Helen E. Maynard‐Casely, Wen Liang Tan, Jeremy L. Wykes, Yingjie Zhang, Brendan J. Kennedy   +8 more
wiley   +1 more source