Results 61 to 70 of about 292,548 (210)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Ultrahigh Strength with Suppressed Flow Instability at Liquid Helium Temperature via Coherent Nanoprecipitation in a Medium‐Entropy Alloy

Advanced Functional Materials, EarlyView.
It is demonstrated that severe lattice distortion and coherent nanoprecipitates overcome the strength–ductility dilemma and mitigate discontinuous plastic flow (DPF) at 4.2 K. Such microstructural design enhances both thermal and athermal stress components, leading to exceptional mechanical performance.
Min Young Sung, Tae Jin Jang, Sang Yoon Song, Chang‐Gi Lee, Jun Ho Lee, Young‐Kyun Kim, Sang‐Ho Oh, Byeong‐Joo Lee, Alireza Zargaran, Se‐Ho Kim, Young‐Sang Na, Seok Su Sohn   +11 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

A Single‐Metal‐Doped Nanoplatform for Ferroptosis‐Driven cGAS‐STING Pathway Activation in Hepatocellular Carcinoma Immunotherapy

Advanced Functional Materials, EarlyView.
The cGAS‐STING pathway boosts HCC antitumor immunity but lacks specific activation. Nanoplatform ZMRPF induces HCC ferroptosis via lipid ROS, releasing mtDNA. It synergizes with ZMRPF‐released Mn2⁺ to activate cGAS‐STING, amplifies antigen‐presenting cell activity, reverses HCC immunosuppression, and enables robust systemic antitumor immunity ...
Yuchen Zhang, Shuang Feng, Jie Luo, Kaige Xu, Junfeng Guo, Xingyue Zhang, Mengxue Yuan, Qiang Luo, Yu Huang, Chaoqiang Fan, Kibret Mequanint, Donghui Zhu, Malcolm Xing, Shiming Yang   +13 more
wiley   +1 more source

Viscoelasticity‐Induced Controllable Periodic Meso‐Textures of Liquid Crystal Polymers in Additive Manufacturing

Advanced Functional Materials, EarlyView.
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou, Jiongyi Yan, Dick F. Firdaus, Amy Jin, Jiaxuan Li, Shushan Wang, Ran Chen, Xudong Tao, Zehao Ji, Yi Liu, Zichen Wang, Christos Margadji, Mark Kotter, J. Axel Zeitler, George G. Malliaras, Ronan Daly, Andrew Gleadall, Sebastian W. Pattinson   +17 more
wiley   +1 more source

Spartan Daily, October 11, 1937 [PDF]

, 1937
Volume 26, Issue 13https://scholarworks.sjsu.edu/spartandaily/2653/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core   +1 more source

A Biologically‐Architected Wear and Damage‐Resistant Nanoparticle Coating From the Radular Teeth of Cryptochiton stelleri

Advanced Functional Materials, EarlyView.
The ultrahard teeth of mollusks that feed on rocky substrates contain a wear‐resistant coating on their surfaces consisting of densely packed mesocrystalline magnetic nanoparticles within an organic matrix. These coatings display significant hardness and toughness through their highly controlled mesocrystalline architectures.
Taifeng Wang, Yu Chen, Ezra Sarmiento, Taige Hao, Atsushi Arakaki, Michiko Nemoto, Pablo Zavattieri, David Kisailus   +7 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Preliminary Study of a Ninj1‐Loaded Bimodal Ultrasound/NIR Fluorescence Targeted Molecular Probe for Diagnosing Early‐Stage Inflammation in Coronary Microvascular Dysfunction

Advanced Healthcare Materials, EarlyView.
Coronary microvascular dysfunction (CMD) targeting remains a challenge for precise diagnosis. This work presents a dual‐modal nanoprobe (T‐IR780‐NBs) that combines ultrasound contrast with near‐infrared fluorescence. This technology utilizes proteomics‐derived antibodies that specifically localize to inflamed and injured cardiac tissue, enabling ...
Xiaohui Xu, Lina Guan, Baihetiya Tayier, Chen Yuan, Shangke Chen, Qi Shi, Yuming Mu   +6 more
wiley   +1 more source

A Quantitative Printability Framework for Programmable Assembly of Pre‐Vascular Patterns via Laser‐Induced Forward Transfer

Advanced Healthcare Materials, EarlyView.
Laser‐Induced Forward Transfer (LIFT) is presented as a powerful micropatterning tool. An objective printability framework is developed to assess optimal printing parameter combinations. The technology is further explored for its ability to deterministically deposit microdroplets at predefined locations following CAD designs, enabling the patterning of
Cécile Bosmans, Núria Ginés Rodriguez, Ulisses Jesús Gutiérrez Hernández, David Fernandez Rivas, Marcel Karperien, Jos Malda, Liliana Moreira Teixeira, Riccardo Levato, Jeroen Leijten   +8 more
wiley   +1 more source