Results 51 to 60 of about 6,229,642 (243)

Computed Tomography‐ and Photoacoustic Imaging‐Active Bioresorbable Electrospun Bismuth Nanoparticle‐Infused Small‐Diameter Vascular Grafts

Advanced Healthcare Materials, EarlyView.
A polymeric graft loaded with radiopaque bismuth nanoparticles is expected to undergo gradual polymer resorption and nanoparticle release. This design enables noninvasive, multimodal monitoring of device integrity, patency, and degradation using computed tomography alongside ultrasound and photoacoustic imaging over 12 weeks.
Allan John R. Barcena, Joy Vanessa D. Perez, Marvin R. Bernardino, Dominic Karl M. Bolinas, Kitz Paul D. Marco, Kim Claudette J. Fernandez, Archana Mishra, Erin Marie D. San Valentin, Jossana A. Damasco, Gino Martin Canlas, Natalie Fowlkes, Richard R. Bouchard, Steven Y. Huang, Marites P. Melancon   +13 more
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

Pressure drop rate threshold setting of block valves in hydrogen-blended natural gas pipelines

You-qi chuyun, 2021
The mixing of hydrogen will increase the leakage and explosion risk of natural gas pipelines. However, the pressure drop rate threshold of existing block valve in natural gas pipeline cannot meet the safety requirements of hydrogen-blended natural gas ...
Zhaoxue CUI, Lei TIAN, Pengfei DUAN, Luling LI, Yuxing LI, Cuiwei LIU   +5 more
doaj   +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

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

Gathering pipeline methane emissions in Fayetteville shale pipelines and scoping guidelines for future pipeline measurement campaigns

Elementa: Science of the Anthropocene, 2017
Gathering pipelines, which transport gas from well pads to downstream processing, are a sector of the natural gas supply chain for which little measured methane emissions data are available. This study performed leak detection and measurement on 96 km of
Daniel J. Zimmerle, Cody K. Pickering, Clay S. Bell, Garvin A. Heath, Dag Nummedal, Gabrielle Pétron, Timothy L. Vaughn   +6 more
doaj   +1 more source

S‐Nitrosothiols as Thiol‐Protecting Groups for Controlled Thiol‐Maleimide Crosslinking of Homogeneous Soft Hydrogels

Advanced Materials, EarlyView.
Rapid thiol‐maleimide addition frequently outpaces mixing, resulting in heterogeneous hydrogels. S‐nitrosothiols act as thiol‐protecting groups, allowing uniform mixing with maleimide‐functionalized polymers before gelation. Sodium thiosulfate or sodium ascorbate then regenerates thiols on demand, triggering controlled thiol‐maleimide crosslinking ...
Julian A. Serna, Michelle J. Iwohn, Maximilian Seifermann, Stefan Heißler, Maike Schliephake, Franziska Dopp, Claudia Muhle‐Goll, Pavel A. Levkin   +7 more
wiley   +1 more source

Study on a failure probability prediction method based on failure data correction for natural gas pipelines

管道保护
Failure probability prediction for natural gas pipelines differentiated between high consequence areas (HCA) and non-high consequence areas (Non-HCA) provides a scientific basis for developing differentiated safety management strategies, thereby ...
Yueyue WENG, Xu SUN, Yufeng YANG, Qiang ZHANG, Xiaoben LIU   +4 more
doaj   +1 more source

Advanced Materials for Biologics Delivery to Brain Tumors

Advanced Materials, EarlyView.
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng, Yuxue Cao, Maria Kavallaris, Taskeen Janjua, Amirali Popat   +4 more
wiley   +1 more source