Results 161 to 170 of about 166,066,358 (299)

PLL‐g‐HPA Hydrogel Microneedles Loaded With Rhoifolin Target Macrophages to Alleviate Fibroblast Senescence for Diabetic Wound Healing

Advanced Healthcare Materials, EarlyView.
Diabetic wound healing is hindered by a pathological crosstalk wherein elevated IL‐11 induces M1 macrophage polarization, leading to IL‐1β/IL‐6 release and subsequent fibroblast senescence via RAS/p38MAPK/p53/E2F1 signaling. Here, we develop a Gel@M‐Rho microneedle patch that delivers rhoifolin‐loaded, macrophage membrane‐coated nanoparticles to target
Jiewen Liao, Lin Gan, Li Lu, Lizhi Ouyang, Yuan Xiong, Fawwaz Al‐Smadi, Guandong Dai, Mohammad‐Ali Shahbazi, Bobin Mi, Mengfei Liu, Guohui Liu   +10 more
wiley   +1 more source

Correction: A micro-CT-integrated 3D simulation framework reveals fluid transport mechanisms and void dynamics in root canal fillings. [PDF]

Sci Rep
Raoof A, Raoof M, Fathi H, Pouran B, Derakhshani R.   +4 more
europepmc   +1 more source

Sub‐Nanometer Curvature Unlocks Quantum Orbital Flexoelectricity in Graphene

Advanced Materials, EarlyView.
In self‐assembled, reproducible, large‐area, quasi‐pristine graphene nanowrinkles, extreme curvature forces out‐of‐plane π‐electrons toward hybridization, driving a transition from classical to quantum orbital flexoelectricity. As curvature approaches the fundamental physical limit set by the C─C bond length, the resulting polarization increases by ...
Sathvik Ajay Iyengar, James G. McHugh, Jonathan P. Salvage, Robert Vajtai, Venkataramana Gadhamshetty, Alan B. Dalton, Manoj Tripathi, Pulickel M. Ajayan, Vincent Meunier   +8 more
wiley   +1 more source

Access Challenges in Allogeneic Hematopoietic Cell Transplant: Identifying At-Risk US States by Exploring Social Vulnerability, Physician Density, and Unmet Need. [PDF]

JCO Oncol Pract
Watters SE, Meyer CL, Preussler JM, Senneka MKS, Auletta JJ, Borzekowski DLG.   +5 more
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Gene dosage differences and non-linear impacts on complex traits. [PDF]

Cell Genom
Smail C.
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Physics-based models outperform AI weather forecasts of record-breaking extremes. [PDF]

Sci Adv
Zhang Z, Fischer E, Zscheischler J, Engelke S.   +3 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source