Suchergebnisse - automation programming— program synthesis

Proceedings of the Second International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'17) Volume 1 /

Materials Discovery and Design By Means of Data Science and Optimal Learning /

Inhaltsangabe: “… Part 1: Learning from Data in Material Science -- Designing Novel Multifunctional Materials via Inverse Optimization Techniques -- Quantifying Uncertainties in First Principles Alloy Thermodynamics -- Forward Modeling of Electron Scattering Modalities for Microstructure Quantification -- The Potential of Network Analysis Strategies to HEDM Data: Classification of Microstructures and Prediction of Incipient Failure -- Part 2: Data and Inference -- Challenges of Diagram extraction and Understanding -- Integration of Computational Reasoning, Machine Learning, and Crowdsourcing for Accelerating Materials Discovery -- Computational Creativity for Materials Science -- Optimal Experimental Design Based on Uncertainty Quantification -- Part 3: High-Throughput Calculations and Experiments Functionality-Driven Design and Discovery -- The Use of Proxies and Data for Guiding Materials Synthesis: Examples of Phosphors and Thermoelectrics -- Big Data from Experiments -- Data-Driven Approaches to Combinatorial Materials Science -- Invariant Representations for Robust Materials Prediction -- Part 4: Data Optimization/Challenges in Analysis of Data for Facilities -- The MGI Data Infrastructure -- Is Rigorous Automated Materials Design and Discovery Possible?  …”