Results 251 to 260 of about 111,097 (310)

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

ESTIMATION OF THE BLURRING KERNEL IN EXPERIMENTAL HR-PQCT IMAGES BASED ON MUTUAL INFORMATION

, 2017
Li, Yufei, Bruno Sixou, Françoise Peyrin   +2 more
openalex   +1 more source

Efficient Kernel Mapping and Comprehensive System Evaluation of LLM Acceleration on a CGLA

Ando, Takuto, Eto, Yu, Takeuchi, Ayumu, Nakashima, Yasuhiko   +3 more
openalex   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

A QR code-enabled framework for fast biomedical image processing in medical diagnosis using deep learning. [PDF]

BMC Med Imaging
Mashat A.
europepmc   +1 more source

Data-driven prediction of silicon content from blast furnace hot metal: A comprehensive comparison between neural network and kernel-based regression models

João Victor B. Xavier, Elineudo Pinho de Moura, Guilherme A. Barreto   +2 more
openalex   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Construction and optimization of representative actual driving cycles based on the improved autoencoder. [PDF]

Sci Rep
Zhao Z, Sun X, Wang X, Wang Y, Fu J, Liu J.   +5 more
europepmc   +1 more source

Deterministic Behavioral Anchoring in Large Language Models: The V-FRM Kernel v3.0 Protocol for EU AI Act Compliance.

Stefano Valente
openalex   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source