Results 151 to 160 of about 2,502 (255)

The Research on a Collaborative Management Model for Multi-Source Heterogeneous Data Based on OPC Communication. [PDF]

Sensors (Basel)
Tian J, Shang C, Ren T, Li Z, Zhang E, Yang J, He M.   +6 more
europepmc   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Distributed multi-parameter quantum metrology with a superconducting quantum network. [PDF]

Nat Commun
Zhang J, Wang L, Hai YJ, Zhang J, Chu J, Jiang J, Huang W, Liang Y, Qiu J, Sun X, Tao Z, Zhang L, Zhou Y, Chen Y, Guo W, Linpeng X, Liu S, Ren W, Zhong Y, Niu J, Yuan H, Yu D.   +21 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

An axiomatic system engineering design method based on NSGA-II algorithm applied to complex systems. [PDF]

Sci Rep
Zhang X, Zhang Q, Zhao Q, Zhao S, Zhao Y, Guo Y, Zhao Z, Song L.   +7 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Digital twin-driven swarm of autonomous underwater vehicles for marine exploration. [PDF]

Commun Eng
Yan J, Zhang T, Guan X, Yang X, Chen C.
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Quantum Secure Direct Communication Technology-Enhanced Time-Sensitive Networks. [PDF]

Entropy (Basel)
Zhang S, Zheng C.
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source