Results 71 to 80 of about 9,714 (266)

Optimized Ex Vivo Human Liver Slice Culture Maintains Extended Viability and Function for Hepatotoxicity Testing

Advanced Science, EarlyView.
An optimized ex vivo human liver slice culture system preserves tissue architecture, hepatocyte function, and immune‐stromal complexity for at least five days. By refining slice thickness, oxygenation, air‐liquid interface, and extracellular matrix support, the platform enables human‐relevant hepatotoxicity testing and mechanistic studies, offering a ...
Huiche Feng, Cinzia Esposito, Andrej Benjak, Matthias S. Matter, Miriam Cieri, Camilla De Carlo, Philipp Sedlaczek, Fabian Haak, Mattia Marinucci, Gabriel Fridolin Hess, Otto Kollmar, Mairene Coto‐Llerena, Luca Di Tommaso, Visar Vela, Lukas Bubendorf, Luigi M. Terracciano, Charlotte K. Y. Ng, Salvatore Piscuoglio   +17 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

Advanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar, Hanrui Li, Divyanshu Divyanshu, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Amit Singh, Abdul Momin Syed, Selma Amara, Gianluca Setti, Nazek El‐Atab   +9 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Operational optimization of hydrogen-blended natural gas pipeline networks based on the differential evolution algorithm [PDF]

AIP Advances
Blending hydrogen into natural gas pipelines is an effective and economical method for long-distance, large-scale hydrogen transportation. Current research on hydrogen-blended natural gas pipelines primarily focuses on hydraulic and thermal ...
Yi Yang
doaj   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

The impact of the orifice plate deformation on the differential pressure value

EPJ Web of Conferences, 2013
This work aims to determine the impact of orifice plate deformation on the differential pressure at the high-pressure natural gas pipelines. The article focuses on the differences of the pressure values, velocity values and flow directions between ...
Jandačka J., Malcho M., Janovcová M., Kiš R.   +3 more
doaj   +1 more source

Field‐Frustrated Cooperative Distortions: Suppressing Jahn‐Teller Ordering via Microwave Annealing

Advanced Science, EarlyView.
Microwave annealing decouples local Jahn‐Teller distortions from long‐range cooperative ordering in CuFe2O4, stabilizing a metastable cubic phase that remains locally distorted yet globally symmetry‐frustrated. Synchrotron XRD, PDF, XPS, and in situ thermal cycling reveal how non‐equilibrium MW‐phonon interactions suppress cooperative orbital‐lattice ...
Daryoosh Vashaee, Kelvin Dsouza
wiley   +1 more source

Erosion-corrosion behavior of L80 steel under high velocity wet gas condition by flow loop method

工程科学学报, 2018
With the continuous petroleum extraction from deep-water subsea gas fields, many long distance offshore natural gas pipelines have been constructed. The design parameters directly affect the gas flow velocity in pipelines, which may introduce high wall ...
LIU Guo-zhang, ZHU Li-wei, LI Da-peng, WANG Bei, HU Jia-yuan, JIA Qiao-yan, ZHANG Lei, LU Min-xu   +7 more
doaj   +1 more source