Results 101 to 110 of about 500,786 (279)
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 +4 more
wiley +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 +5 more
wiley +1 more source
Synthesis and characterization on anti-clay polycarboxylate superplasticizer in concrete
Case Studies in Construction MaterialsTo address the issues of low anti-clay performance and high adsorption of ordinary superplasticizer in concrete applications, a novel anti-clay polycarboxylate superplasticizer (Abbreviated as KN-G superplasticizer) was developed.
Hongling Li +3 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Factorial Design Applied to Waste Immobilisation in Geopolymer-based Systems
Concentrated alkali, ground glass and air pollution control residues were mixed in various proportions and cured for up to 28 days. These blocks were tested in strength and analysed by thermal gravimetric analysis to assess the success of the ...
Black, L +3 more
core
Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
A preclinical mouse model mimicking the ovarian cancer‐induced estrogen deficiency‐depression axis
Animal Models and Experimental Medicine, EarlyView.A preclinical mouse model of ovarian cancer–related depression was developed by combining intraperitoneal tumor cell injection, ovariectomy, and chronic restraint stress. The model replicates key clinical features including estrogen deficiency, depressive‐like behaviors, and tumor progression, and provides a reliable tool for studying the endocrine ...
Jiamin Liu +6 more
wiley +1 more source
NAMER: A FORTRAN 4 program for use in optimizing designs of two-level factorial experiments given partial prior information [PDF]
Under certain specified conditions, the Bayes procedure for designing two-level fractional factorial experiments is that which maximizes the expected utility over all possible choices of parameter-estimator matchings, physical-design variable matchings ...
Sidik, S. M.
core +1 more source
A Fast Method for Selecting Bio Sourced Materials of Interest in a Candle Formulation
Journal of the American Oil Chemists' Society, EarlyView.ABSTRACT As consumer demand shifts towards more sustainable and nontoxic alternatives, the candle industry is exploring unconventional bio‐based and recycled materials as substitutes for paraffin. Four raw materials, that is rice bran wax (RBW), sugarcane wax (SCW), hydrogenated rapeseed oil (HRO), and waste cooking oil (WCO) were assessed based on ...
Salma Daoufa +4 more
wiley +1 more source