Results 241 to 250 of about 349,095 (330)

Integrated automotive exhaust engineering : uncertainty management

, 2006
Xitian Fang, Deming Wan
openalex   +1 more source

Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation

Advanced Intelligent Systems, EarlyView.
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang, Chenzhou Zhao, Bo Dai, Qi Wang, Dawei Zhang, Songlin Zhuang, Chao Ping Chen   +6 more
wiley   +1 more source

High-Strength Low-Alloy Steels for Automobiles: Microstructure and Mechanical Properties. [PDF]

Materials (Basel)
Ma G, Gao B, Chen Z, Li Y, Wu R, Gui H, Chu Z.   +6 more
europepmc   +1 more source

A Data‐Centric Approach to Quantifying the Forward and Inverse Relationship Between Laser Powder Bed Fusion Process Parameters and as‐Built Surface Roughness of IN718 Parts

Advanced Intelligent Systems, EarlyView.
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley   +1 more source

AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry

Angewandte Chemie, EarlyView.
AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita, Roman Zubatyuk, Dylan M. Anstine, Maike Bergeler, Volker Settels, Conrad Stork, Sebastian Spicher, Olexandr Isayev   +7 more
wiley   +2 more sources

Evaluation of dynamic properties in ABS and PLA thermoplastics across frequency ranges. [PDF]

Sci Rep
Demiryurek SG.
europepmc   +1 more source

Green Transition in Automotive Engineering: A Comparative Analysis of Evolution in Developed vs. Emerging Markets

Maxime Giraudo, Alexandru Silviu GOGA, Mircea Boșcoianu   +2 more
openalex   +2 more sources

Optimizing Lightweight Material Selection in Automotive Engineering: A Hybrid Methodology Incorporating Ashby’s Method and VIKOR Analysis [PDF]

Edoardo Risaliti, Francesco Del Pero, Gabriele Arcidiacono, Paolo Citti   +3 more
openalex   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source