Results 221 to 230 of about 56,420 (266)

Machine learning-based Bayesian optimization of tuned inerter dampers for enhanced seismic response control in high-rise base-isolated structures. [PDF]

Sci Rep
Huang S, Zhu K.
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Automated Spectral Preprocessing via Bayesian Optimization for Chemometric Analysis of Milk Constituents. [PDF]

Foods
Babatunde HA, McDougal OM, Andersen T.
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design. [PDF]

Ind Eng Chem Res
Muthyala MR, Sorourifar F, Tan T, Peng Y, Paulson JA.   +4 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Tone Mapping of HDR Images via Meta-Guided Bayesian Optimization and Virtual Diffraction Modeling. [PDF]

Sensors (Basel)
Huang D, Zheng X, Li J, Zhan R, Dong J, Wen Y, Mao X, Chen Y, Chen Y.   +8 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Bayesian optimization of capillary pressure data in hydraulic flow units using NMR. [PDF]

Sci Rep
Jehanzaib H, Zahoor MK, Haris M, Saleem Y, Ismail A.   +4 more
europepmc   +1 more source

Hyperparameter Optimization EM Algorithm via Bayesian Optimization and Relative Entropy. [PDF]

Entropy (Basel)
Zou D, Ma C, Wang P, Geng Y.
europepmc   +1 more source