Developing a Detailed Chemical Kinetic Model for Combustion of <i>Iso</i>-Cetane Based on Ignition and Oxidation. [PDF]
Chen P +5 more
europepmc +1 more source
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 +8 more
wiley +1 more source
Evaluation and analysis of brittleness and acoustic emission characteristics of tight sandstone under the influence of acid-treatment. [PDF]
Geng W, Guo S, Huang G, Wang J.
europepmc +1 more source
Analysis of Super Knock and Detonation in A Rapid Compression Machine
Li, J., Yang, J.
openaire +1 more source
Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab +8 more
wiley +1 more source
Achieving Robotic Data Efficiency Through Machine-Centric FDCT Vision Processing. [PDF]
Wiseman Y.
europepmc +1 more source
Oxygen‐releasing hydrogels are widely used to support cell survival in 3D cultures and to promote wound healing. However, incorporating catalase to convert H2O2 into O2 often generates additional oxygen bubbles, leading to material instability which rarely addressed.
Sukulya Bunuasunthon +3 more
wiley +1 more source
Wide-Range, Low-Hysteresis Soft Sensor with Architecture-Inspired Design Enabled by Femtosecond Laser-Induced Self-Growth. [PDF]
Yu Z +9 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source

