Results 111 to 120 of about 1,745,775 (283)

Anchored Oxygen‐Release‐Suppression Phase Stabilizing High‐Voltage Ni‐Rich Cathode Materials

Angewandte Chemie, EarlyView.
A one‐step dual‐structure strategy was proposed to synthesize LiNi0.9Co0.05Mn0.05O2 (DA‐NCM) material, which is rich in oxygen vacancies and coated with a perovskite‐type La4LiNiO8 layer stabilized by La─O anchoring provided by La2Mo2O9. This strategy effectively suppressed structural degradation and oxygen release, thereby achieving stable high ...
Ziqi Liu, Yiming Zhang, Yong Chen, Meng Yao, Yangyang Wang, Du Yuan, Haitao Zhang, Yun Zhang, Guoxiu Wang   +8 more
wiley   +2 more sources

Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley   +1 more source

Fast Hyperspectral Neutron Tomography

IEEE Transactions on Computational Imaging
Hyperspectral neutron computed tomography is a tomographic imaging technique in which thousands of wavelength-specific neutron radiographs are measured for each tomographic view. In conventional hyperspectral reconstruction, data from each neutron wavelength bin are reconstructed separately, which is extremely time-consuming.
Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang, Singanallur V. Venkatakrishnan, Hassina Z. Bilheux, Gregery T. Buzzard, Charles A. Bouman   +6 more
openaire   +3 more sources

Equilibria and oscillations of magnetised neutron stars

, 2010
We investigate equilibrium configurations and oscillation spectra of neutron stars,modelled as rotating magnetised fluid bodies in Newtonian gravity. We also explorethe idea that these model neutron stars could have dynamics analogous to rigid-bodyfree ...
Lander, Samuel Kenneth
core   +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

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

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

FAST NEUTRON THERAPY FOR CANCER PATIENTS

Сибирский онкологический журнал, 2016
The review presents the 30-year experience of using fast neutron therapy for patients with cancer of various sites. Radiobiological aspects of neutron fast therapy are analyzed.
L. I. Musabaeva, V. M. Golovkov
doaj  

Effect of reflected neutrons for fast pulsed reactor characteristics with metallic nuclear fuel

He jishu
BackgroundFast neutron pulsed reactors are sensitive to wall scattering neutrons, and their waveforms are changed by reflected neutrons. In addition, their operation may be adversely affected when there are too many reflected neutrons.PurposeThis study ...
GUO Shuwei, CHEN Zhenping, JIANG Xinbiao, LI Da, ZHANG Keying, ZHANG Xinyi, WANG Lipeng, XIE Jinsen, YU Tao   +8 more
doaj   +1 more source