Results 151 to 160 of about 217,958 (282)

Integration of Freestanding High‐k Oxide Membranes for 2D Ferroelectric Field‐Effect Transistors

Advanced Science, EarlyView.
This work introduces a defect‐tolerant integration strategy that enables freestanding BaTiO3 membranes to form low‐leakage top‐gate junctions with MoS2. The resulting FeFETs exhibit a record 0.22 V nm−1 memory window, ultrahigh‐k response, and near‐ideal subthreshold swings.
Zejing Guo, Xuyang Sha, Fang Xu, Guangyi Huang, Jinfeng Zhang, Yang Mou, Guorui Zhao, Jiaqi Liu, Qing Lan, Wenqing Song, Cheng Zhang, Hai Huang, Changlin Zheng, Lingfei Wang, Hangwen Guo, Jian Shen, Wu Shi   +16 more
wiley   +1 more source

Computing 1/N^2 corrections in AdS/CFT [PDF]

, 2010
Stringy corrections in AdS/CFT generally fall into the category of either \alpha' effects or string loop effects, corresponding to 1/\lambda and 1/N corrections, respectively, in the dual field theory.
Liu, James T., Minasian, Ruben
core  

ROS‐Responsive Wedelolactone Hydrogel Promotes Intervertebral Disc Repair by Disrupting the NF‐κB–LCN2 Inflammatory Feedback Loop

Advanced Science, EarlyView.
A mechanically robust, ROS‐responsive hydrogel is engineered to treat intervertebral disc degeneration by targeting the NF‐κB–LCN2 inflammatory feedback loop. By delivering wedelolactone specifically within oxidative niches, this system disrupts macrophage–disc cell crosstalk.
Zimei Wu, Yan Xu, Lang Qin, Zemin Ling, Yingjie Mai, Xiong Tian Guo, Jiajia Chen, Leping Yan, Lin Wang, Liming Bian, Fuxin Wei   +10 more
wiley   +1 more source

Lactylation Reprogramming in the Bone Infection Microenvironment Identifies PGK1 K361 as a Potential Therapeutic Target for Osteogenic Dysfunction

Advanced Science, EarlyView.
Staphylococcus aureus (S. aureus) infection creates a high‐lactate microenvironment, promoting p300‐mediated lactylation of PGK1 at lysine 361 (K361). Lactylated PGK1 translocates to the mitochondrial outer membrane and interacts with VDAC3. This interaction triggers FtMt downregulation, iron accumulation, and excessive PINK1/Parkin‐mediated mitophagy,
Han‐jun Qin, Si‐ying He, Ting‐hui Xiao, Da‐mao Dai, Xin‐jia Hu, Nan Jiang   +5 more
wiley   +1 more source

Stretched horizon, replica trick and off-shell winding condensate, and all that

Journal of High Energy Physics
α ′ corrections to near horizon dynamics of a Schwarzschild black hole in a large number of spacetime dimensions D are governed by the worldsheet theory composed of the cigar CFT and the classical sigma model on the sphere at the horizon, along with a ...
Indranil Halder, Daniel L. Jafferis
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Hydrodynamical properties of back reacted thermal plasma with finite ’t Hooft coupling correction

European Physical Journal C: Particles and Fields
In this work, holographic approach has been used to analyse the hydrodynamical properties of $$\mathcal {N}=4$$ N = 4 Super Yang–Mills thermal plasma with finite ’t Hooft coupling correction and flavour quarks dual to the AdS Gauss–Bonnet gravity in the ...
Rishi Pokhrel, Karma P. Sherpa, Indra K. P. Chettri, Tanay K. Dey   +3 more
doaj   +1 more source