Results 201 to 210 of about 2,136,432 (295)
Democratizing environmental impact assessment: An AI-augmented framework for sustainable building design. [PDF]
Nouri A, Hu M.
europepmc +1 more source
Platform system to create biofabricated 3D spinal cord tissue models: Combining high resolution PCL fiber placement, a customized, hyaluronic acid‐based hydrogel, two cell types (spinal cord neurons and astrocytes) together with three distinct laminin isoforms allow the formation of functional cell–cell network interactions.
Nicoletta Murenu +12 more
wiley +1 more source
Exploration of Morphological Characteristics in Diabetic Macular Ischemia Utilizing a Large Language Model-Assisted Knowledge Graph. [PDF]
Yoshida M +4 more
europepmc +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
Investigations of a new EPS-insulated mortar-free reusable interlocking block for sustainable buildings. [PDF]
Gao H, Karani MM, Zuo L, Zhao Z.
europepmc +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Private speech: similarities between a large language model and children. [PDF]
Liang Z, Tay LO, Dennis S.
europepmc +1 more source
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source

