Results 261 to 270 of about 665,501 (321)

Property Optimization of Mn–Ni–Al Oxide Thermistors via an Integrated Framework of Efficient Composition Exploration and Image Analysis

Advanced Materials Interfaces, EarlyView.
In Mn–Ni–Al oxide thermistor materials, we combine efficient composition‐space sampling with convolutional neural networks trained on multimodal Scanning Electron Microscopy – Energy Dispersive X‐ray Spectroscopy (SEM‐EDS) images to construct models predicting resistance and B constant, revealing spinel‐like microstructural regions that control ...
Yo Kato, Keisuke Makino, Shogo Hashimura, Nozomi Arakawa, Hayami Takeda, Naoto Tanibata, Masanobu Nakayama, Naohiro Niizeki, Takayuki Nakaya   +8 more
wiley   +1 more source

Large-scale stochastic simulation of open quantum systems. [PDF]

Nat Commun
Sander A, Fröhlich M, Eigel M, Eisert J, Gelß P, Hintermüller M, Milbradt RM, Wille R, Mendl CB.   +8 more
europepmc   +1 more source

Recent Progress in Memristor Array‐Based Neuromorphic Computing for on‐Chip Vector‐Matrix Multiplication

Advanced Materials Technologies, EarlyView.
Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
wiley   +1 more source

Hybrid GA-SQP neural network frame for solving english language learning. [PDF]

Sci Rep
Abbasi AZ, Jaghdam IH, Aoudia M, Maatki C, Hassen W, Kolsi L.   +5 more
europepmc   +1 more source

Full‐Domain 3D Digital Twin for Comprehensive Analysis and Validation of Standing Surface Acoustic Wave Generation on LiNbO3 Substrate

Advanced Materials Technologies, EarlyView.
A full‐domain 3D digital twin of a standing surface acoustic wave (SSAW) device on 128° YX LiNbO3 is developed and experimentally validated. The predictive power of the model is confirmed by electrical characterisation and laser Doppler vibrometry measurements, which show excellent agreement with simulations.
Felice Alberto Sfregola, Annalisa Volpe, Andrea Zifarelli, Massimiliano Benetti, Domenico Cannatà, Vincenzo Spagnolo, Pietro Patimisco   +6 more
wiley   +1 more source

Quantum-Inspired gravitationally guided particle swarm optimization for feature selection and classification. [PDF]

Sci Rep
Malik S, Patro SGK, Mahanty C, Lasisi A, Naveed QN, Buradi A, Emma AF, Kumar S, Mubarakali A.   +8 more
europepmc   +1 more source

On‐Chip Perovskite Coolers

Advanced Materials Technologies, EarlyView.
Scaling of 3D‐integrated electronics exacerbates thermal bottlenecks, motivating solid‐state on‐chip cooling beyond convection and immersion. This perspective reviews optical refrigeration, electroluminescent cooling, and thermoelectrics for localized, vibration‐free heat removal.
Huilong Liu, Manaswini Bhamidimarri, Shubhra Bansal   +2 more
wiley   +1 more source

An adaptive multi-scale kriging framework with committee-based infill for engineering design optimization. [PDF]

Sci Rep
Xie H, Zhong Q, Zeng W.
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source