Toward artificial-intelligence assisted design of experiments-Reference-Cited by-同舟云学术

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Toward artificial-intelligence assisted design of experiments

Published:2023-02 Issue: Volume:1047 Page:167873
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Dorigo Tommaso^ORCID

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference4 articles.

1. Geometry optimization of a Muon-Electron scattering experiment;Dorigo;Phys. Open,2020

2. Black box optimization with local generative surrogates;Shirobokov;NeurIPS,2020

3. Toward the end-to-end optimization of particle physics instruments with differentiable programming: A white paper;Dorigo,2022

4. Machine learning in calorimeter optimization;Boldyrev;J. Phys.: Conf. Ser.,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fluidized Bed Scale-Up for Sustainability Challenges. 1. Tomorrow’s Tools;Industrial & Engineering Chemistry Research;2024-02-05

2. Holistic optimization of lithium-ion battery negative electrode formulation using a combination of theory of mixtures, Box-Behnken matrix, multi-variant analysis and desirability functions of Derringer-Suich;Chemical Engineering Journal;2023-10

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