Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains
出版年份 2021 全文链接
标题
Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains
作者
关键词
-
出版物
npj Computational Materials
Volume 7, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-11-18
DOI
10.1038/s41524-021-00656-9
参考文献
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- (2021) Aldair E. Gongora et al. iScience
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- (2021) James R. Deneault et al. MRS BULLETIN
- Two-step machine learning enables optimized nanoparticle synthesis
- (2021) Flore Mekki-Berrada et al. npj Computational Materials
- Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites
- (2021) Daniil Bash et al. ADVANCED FUNCTIONAL MATERIALS
- Beyond Ternary OPV: High‐Throughput Experimentation and Self‐Driving Laboratories Optimize Multicomponent Systems
- (2020) Stefan Langner et al. ADVANCED MATERIALS
- Re-epithelialization and immune cell behaviour in an ex vivo human skin model
- (2020) Ana Rakita et al. Scientific Reports
- A Bayesian experimental autonomous researcher for mechanical design
- (2020) Aldair E. Gongora et al. Science Advances
- Self-driving laboratory for accelerated discovery of thin-film materials
- (2020) B. P. MacLeod et al. Science Advances
- Bayesian optimization of pump operations in water distribution systems
- (2018) A. Candelieri et al. JOURNAL OF GLOBAL OPTIMIZATION
- Multifunctional structural design of graphene thermoelectrics by Bayesian optimization
- (2018) Masaki Yamawaki et al. Science Advances
- Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments
- (2018) Fang Ren et al. Science Advances
- Phoenics: A Bayesian Optimizer for Chemistry
- (2018) Florian Häse et al. ACS Central Science
- Efficient search of compositional space for hybrid organic–inorganic perovskites via Bayesian optimization
- (2018) Henry C. Herbol et al. npj Computational Materials
- Multi-objective Bayesian materials discovery: Application on the discovery of precipitation strengthened NiTi shape memory alloys through micromechanical modeling
- (2018) Alexandros Solomou et al. MATERIALS & DESIGN
- Active learning for accelerated design of layered materials
- (2018) Lindsay Bassman et al. npj Computational Materials
- On the Convergence Rates of Expected Improvement Methods
- (2016) Ilya O. Ryzhov OPERATIONS RESEARCH
- Taking the Human Out of the Loop: A Review of Bayesian Optimization
- (2016) Bobak Shahriari et al. PROCEEDINGS OF THE IEEE
- Accelerated search for BaTiO3-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning
- (2016) Dezhen Xue et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learning
- (2016) Bertrand Rouet-Leduc et al. Scientific Reports
- Autonomy in materials research: a case study in carbon nanotube growth
- (2016) Pavel Nikolaev et al. npj Computational Materials
- Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
- (2012) Niranjan Srinivas et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Robustness of random forests for regression
- (2012) Marie-Hélène Roy et al. JOURNAL OF NONPARAMETRIC STATISTICS
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