Results 131 to 140 of about 56,565 (243)

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

Editorial: Strategies for preventing early childhood caries. [PDF]

Front Oral Health
Foláyan MO, Mfolo T, El Tantawi M.
europepmc   +1 more source

Emergent Spin Fluctuation and Structural Metastability in Self‐Intercalated Cr1+xTe2${\rm Cr}_{1+x}{\rm Te}_2$ Compounds

Advanced Electronic Materials, EarlyView.
Metastable superstructure and emergent spin fluctuation in self‐intercalated Cr1+xTe2${\rm Cr}_{1+x}{\rm Te}_2$ ABSTRACT Intercalated van der Waals (vdW) magnetic materials host unique magnetic properties due to the interplay of competing interlayer and intralayer exchange couplings, which depend on the intercalant concentration within the van der ...
Clayton Conner, Ali Sarikhani, Theo Volz, Mathew Pollard, Mitchel Vaninger, Xiaoqing He, Steven Kelley, Jacob Cook, Avinash Sah, John Clark, Hunter Lucker, Cheng Zhang, Paul Miceli, Yew San Hor, Xiaoqian Zhang, Guang Bian   +15 more
wiley   +1 more source

Effectiveness and safety of cyclosporine A in moderate to severe COVID-19: a randomized, open-label trial. [PDF]

Sci Rep
Zidan AA, Gad AYS, Zakaria NH, El-Hariri HM, Elsharnouby NM, Helmy MW, El-Setouhy M.   +6 more
europepmc   +1 more source

How Halide Segregation Governs the Ion Density Evolution and Ionic Performance Losses: From Degradation to Recovery

Advanced Energy Materials, EarlyView.
Halide segregation (HS) in mixed‐halide wide‐bandgap (WBG) perovskites is key to the stability of perovskite‐based tandem cells and a central focus of large‐scale research efforts. Here, we find that the underlying reason for the poor stability of cells prone to HS is enhanced ionic losses during operation. Furthermore, we identified irreversible ionic
Nikhil Kalasariya, Paria Forozi Sowmeeh, Francisco Pena‐Camargo, Francesco Vanin, Tino Lukas, Yuxin Dong, Qifan Feng, Ziwei Liu, Waqar Ali Memon, Danpeng Gao, Jianqiu Gong, Xin Wu, Andres Felipe Castro Mendez, Jan Hagenberg, Zahra Abadi, Thomas Hultzsch, Xinyi Zhao, Sahil Shah, Hui Yu, Varun Srivastava, Jianbin Xu, Ni Zhao, Felix Lang, Zonglong Zhu, Martin Stolterfoht   +24 more
wiley   +1 more source

Selenium nanoparticles as a biological safe endodontic irrigant improving root canal sealing. [PDF]

BMC Oral Health
Genena SM, Sedik AS, Essawy MM, El Halfawy NM, AboElSeoud MR.   +4 more
europepmc   +1 more source

Alexandria

, 1949
Damage investigation noted as in Quebec Region Logs. A search for media reports for this tornado may reveal more info.
openaire   +2 more sources

Resolving Oxidative and Corrosive Calendar‐Aging via Electrolyte Engineering for Stable Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
A weakly solvating ether solvent, 1,2‐dimethoxypropane (DMP), is proposed for use in localized high‐concentration electrolytes (LHCEs) for lithium metal batteries (LMBs). These DMP‐based LHCEs simultaneously suppress lithium metal corrosion and cathode degradation—two interrelated processes that accelerate calendar aging of LMBs.
Jisub Kim, Ihnkyung Jung, Kyunam Lee, Insu Hwang, Minkwan Kim, Eunseok Park, Dongmin Park, Hayoung Park, Yonggoon Jeon, Gaeun Park, Hyo Chul Ahn, Jihoon Oh, Jungwon Park, Ali Coskun, Jang Wook Choi   +14 more
wiley   +1 more source

Co-isolation of Achromobacter species and Vibrio parahaemolyticus from a case of chronic suppurative otitis media in a sea swimmer: a case report. [PDF]

BMC Infect Dis
Aboelsaad E, El-Badan H, Omran EA, Amine A, Attar LE.   +4 more
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source