Results 171 to 180 of about 108,723 (292)

Passivation‐Induced Species Dynamics and Microstructural Evolution in Solid‐State Lithium–Sulfur Cathodes

Advanced Science, EarlyView.
The formation of insulating Li2S during discharge in solid‐state lithium–sulfur batteries passivate reaction sites and limits sulfur utilization. In this work, a microstructure‐resolved modeling framework coupling transport and reaction kinetics is developed to predict charge–discharge behavior and reveal particle‐scale species evolution and incomplete
Arpan K. Sharma, Bairav S. Vishnugopi, Elif Pınar Alsaç, Matthew T. McDowell, Partha P. Mukherjee   +4 more
wiley   +1 more source

A Framework for Implementation of Dynamic Discrepancy Reduced-Order Modeling in Advanced Process Control. [PDF]

Ind Eng Chem Res
Dinh S, Nascimento CA, Mebane DS, Lima FV.   +3 more
europepmc   +1 more source

An Implantable Scaffold Sequentially Releasing STING Agonist and B7‐H3 Antibody for Bone Metastasis Immunotherapy

Advanced Science, EarlyView.
We developed an implantable dual‐drug depot using GelMA for bone metastasis treatment, co‐delivering MSA‐2 and αB7‐H3‐loaded CaCO3 microparticles. Sustained release from GelMA scaffold enables MSA‐2 to activate STING signaling and enhance T‐cell infiltration and activation, while sequentially released αB7‐H3 blocks MSA‐2‐induced B7‐H3 upregulation ...
Qijun Lin, Hong Xiao, Shuai Fan, Kaimin Cai, Yanteng Xu, Xinwen Wang, Guanhong Chen, Chuandong Lang, Xinsheng Peng, Mingqiang Li, Yuhu Dai   +10 more
wiley   +1 more source

Experimental and Numerical Characterization of Electrospun Piezoelectric Polyvinylidene Fluoride Nanocomposites Reinforced with Silver Nanoparticles. [PDF]

Materials (Basel)
Milenković S, Živić F, Grujović N, Virijević K, Bodić A, Petrović D.   +5 more
europepmc   +1 more source

A fractional order nonlinear model of the love story of Layla and Majnun.

Sci Rep, 2023
Sabir Z, Said SB.
europepmc   +1 more source

Metal‐Enhanced Charge Transport and its Mechanism in Atomically Precise Ruthenium Single‐Molecule Devices

Advanced Science, EarlyView.
An atomically precise platform was developed for investigating single‐molecule charge transport. This innovative platform enables the creation of highly uniform molecular devices using ruthenium‐based molecules. It reveals a significant enhancement in molecular conductance due to the metallic ruthenium center and a unique barrier‐lowering effect during
Jie Guo, Qinghua Gao, Ping Duan, Cong Zhao, Huimin Wen, Xiaoyan He, Lucie Norel, Yuzhe Zhang, Chunwen Wang, Wu Zhou, Xinyue Chang, Ju Wang, Stéphane Rigaut, Mingliang Li, Chuancheng Jia, Xuefeng Guo   +15 more
wiley   +1 more source

Mathematical Modeling and Computational Approaches for Pulsed Electric Field Processing in Food Preservation: A Comprehensive Review. [PDF]

Foods
Luzi G, Bashir KMI, Lyu W, Cho MG, Choi JS.   +4 more
europepmc   +1 more source

Bioprinted Tumor Microenvironment Models Reveal Immune Evasion and Guide CAR‐NK Therapeutic Strategies

Advanced Science, EarlyView.
This study presents a 3D embedded bioprinting platform that recapitulates key stromal features of the tumor microenvironment using fibroblasts and lung‐derived ECM. The model enables functional assessment of CAR‐NK cells and provides a versatile tool to support the development of next‐generation immunotherapeutic strategies against solid tumors ...
Dahong Kim, Seona Jo, In‐Hwan Jang, Yu‐Jin Kim, Youngmee Jung, Junhyoung Ahn, Hyungjun Lim, Jae Jong Lee, Kangwon Lee, Tae‐Don Kim, Su A Park   +10 more
wiley   +1 more source

Bioinspired Optimization for Feature Selection in Post-Compliance Risk Prediction. [PDF]

Biomimetics (Basel)
Paz Á, Crawford B, Monfroy E, Rodriguez-Tello E, Barrera-García J, Cisternas-Caneo F, Cortés BL, Lazo Y, Yáñez A, Peña Fritz Á, Soto R.   +10 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source