Results 71 to 80 of about 1,374,496 (201)

Mechanochemically Disordered Li2Ta2OCl10 Oxyhalide Unlocks Superionic Conductivity (>10 mS.cm−1)

Advanced Energy Materials, EarlyView.
This work presents a new crystalline oxyhalide, Li2Ta2OCl10, built from [Ta2OCl10]2− dimers. The disorder induced by ball‐milling drives the dramatic 5000‐fold increase in ionic conductivity to reach 11 mS.cm−1. The material shows promise as a solid electrolyte for batteries and opens new prospects for the discovery of new dimer‐based compounds ...
Clément Morel, Anshuman Chaupatnaik, Jie Liu, Mingxue Tang, Horyung Ji, Mouna Ben Yahia, Marie‐Liesse Doublet, Tatiana N. Kobernik, Dmitry A. Aksyonov, Artem M. Abakumov, Gwenaëlle Rousse, Jean‐Marie Tarascon   +11 more
wiley   +1 more source

Self-supervised denoising method for single neutron image based on the S2S-NR network

Nuclear Engineering and Technology
Fast neutron radiography technology has unique application advantages in the field of non-destructive testing. However, during the imaging process, the imaging system is inevitably affected by various factors, leading to significant noise contamination ...
Wangtao Yu, Peng Xu, Xinghui Cai, Man Zhou, Jie Bao   +4 more
doaj   +1 more source

Neutron Noise Analysis with Flash-Fourier Algorithm at the IBR-2M Reactor

Advances in High Energy Physics, 2013
Neutron noise spectra in nuclear reactors are a convolution of multiple effects. For the IBR-2M pulsed reactor (JINR, Dubna), one part of these is represented by the reactivities induced by the two moving auxiliary reflectors and another part of these by
Mihai O. Dima, Yuri N. Pepelyshev, Lachin Tayibov   +2 more
doaj   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Neutron activation analysis of plantinum converter and furnace mattes using a D-T sealed tube neutron generator [PDF]

, 2013
Neutron activation analysis (NAA) has been applied to furnace matte and converter matte samples with the objective of studying the natural variation in the elemental composition of the samples, with a view to characterize the samples for their source of ...
Majawa, Louis John
core   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Neutron noise modelling for nuclear reactor diagnostics

, 2018
<p>Talk given about neutron noise modeling for nuclear reactor diagnostics at the 27th Annual Symposium of the Hellenic Nuclear Physics Society (HNPS2018), on 8 - 9 June 2018, Athens.</p ...
Antonios Mylonakis, Antonios Mylonakis (5384927)   +1 more
core   +1 more source

Radiological Risks of Neutron Interrogation of Food [PDF]

, 2015
In recent years there has been growing interest in the use of neutron scanning techniques for security. Neutron techniques with a range of energy spectra including thermal, white and fast neutrons have been shown to work in different scenarios.
Albright, Simon, Seviour, Rebecca, Seviour, R., Albright, S.   +3 more
core   +1 more source

Two‐Dimensional van der Waals Antiferromagnets: Fabrication, Probes, Control, and Applications

Advanced Physics Research, EarlyView.
Two‐dimensional van der Waals antiferromagnets are emerging as versatile platforms for spintronic, optoelectronic, and quantum devices. This review summarizes recent progress in their fabrication, magnetic characterization, fields, interfacial engineering, chemical modification, and representative applications.
Huangyu Wu, Zeyu Han, Yueyao Wang, Yitao Yu, Mingyang Yin, Yikang Jin, Yongjun Huo, Lihong Gao, Zhuang Ma, Gang Zhang, Miao Jiang   +10 more
wiley   +1 more source