标题
Symbolic regression in materials science
作者
关键词
-
出版物
MRS Communications
Volume -, Issue -, Pages 1-13
出版商
Cambridge University Press (CUP)
发表日期
2019-06-21
DOI
10.1557/mrc.2019.85
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- The 2018 Materials by Design Roadmap
- (2018) Kirstin Alberi et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Harnessing the Materials Project for machine-learning and accelerated discovery
- (2018) Weike Ye et al. MRS BULLETIN
- Data-centric science for materials innovation
- (2018) Isao Tanaka et al. MRS BULLETIN
- SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates
- (2018) Runhai Ouyang et al. PHYSICAL REVIEW MATERIALS
- Pushing the limits of electron ptychography
- (2018) Andrew R. Lupini et al. SCIENCE
- Identifying an efficient, thermally robust inorganic phosphor host via machine learning
- (2018) Ya Zhuo et al. Nature Communications
- Learning physical descriptors for materials science by compressed sensing
- (2017) Luca M Ghiringhelli et al. NEW JOURNAL OF PHYSICS
- Synchronization control of oscillator networks using symbolic regression
- (2017) Julien Gout et al. NONLINEAR DYNAMICS
- On-the-Fly Data Assessment for High-Throughput X-ray Diffraction Measurements
- (2017) Fang Ren et al. ACS Combinatorial Science
- Organic materials database: An open-access online database for data mining
- (2017) Stanislav S. Borysov et al. PLoS One
- AiiDA: automated interactive infrastructure and database for computational science
- (2016) Giovanni Pizzi et al. COMPUTATIONAL MATERIALS SCIENCE
- Inference of compact nonlinear dynamic models by epigenetic local search
- (2016) William La Cava et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows
- (2016) Ewa Deelman et al. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
- Electronic, Crystal Chemistry, and Nonlinear Optical Property Relationships in the Dugganite A3B3CD2O14 Family
- (2016) Hongwei Yu et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- Automatic identification of wind turbine models using evolutionary multiobjective optimization
- (2016) William La Cava et al. RENEWABLE ENERGY
- Effects of process time interval and heat treatment on the mechanical and microstructural properties of direct laser deposited 316L stainless steel
- (2015) Aref Yadollahi et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- An efficient multiscale model of damping properties for filled elastomers with complex microstructures
- (2014) John A. Moore et al. COMPOSITES PART B-ENGINEERING
- A C++ framework for geometric semantic genetic programming
- (2014) Mauro Castelli et al. Genetic Programming and Evolvable Machines
- Pharmacokinetic Modeling of Caco-2 Cell Permeability Using Genetic Programming (GP) Method
- (2014) Renu Vyas et al. Letters in Drug Design & Discovery
- Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)
- (2013) James E. Saal et al. JOM
- Correlation for the Viscosity of Normal Hydrogen Obtained from Symbolic Regression
- (2013) Chris D. Muzny et al. JOURNAL OF CHEMICAL AND ENGINEERING DATA
- Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
- (2013) Anubhav Jain et al. APL Materials
- AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations
- (2012) Stefano Curtarolo et al. COMPUTATIONAL MATERIALS SCIENCE
- Modeling global temperature changes with genetic programming
- (2012) Karolina Stanislawska et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- A hybrid computational–experimental approach for automated crystal structure solution
- (2012) Bryce Meredig et al. NATURE MATERIALS
- Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation
- (2011) P. Barmpalexis et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Comparison of experimental designs for simulation-based symbolic regression of manufacturing systems
- (2011) Birkan Can et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Predicting the Structure of Alloys Using Genetic Algorithms
- (2011) Chris E. Mohn et al. MATERIALS AND MANUFACTURING PROCESSES
- Lattice normal modes and electronic properties of the correlated metal LaNiO3
- (2011) Gaoyang Gou et al. PHYSICAL REVIEW B
- A genetic algorithm for predicting the structures of interfaces in multicomponent systems
- (2010) Alvin L.-S. Chua et al. NATURE MATERIALS
- Advances in data-driven analyses and modelling using EPR-MOGA
- (2009) O. Giustolisi et al. JOURNAL OF HYDROINFORMATICS
- Distilling Free-Form Natural Laws from Experimental Data
- (2009) Michael Schmidt et al. SCIENCE
- Development of pipe deterioration models for water distribution systems using EPR
- (2008) L. Berardi et al. JOURNAL OF HYDROINFORMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now