Brian DeCost

Presentation History

2024 MRS Fall Meeting & Exhibit

Reduced-Co Heusler Compound Revealed Through High Throughput Synthesis and Magnetic Screening

Dec 4, 2024, 10:45 AM

2024 MRS Spring Meeting

Invariant Graph Neural Network Models for Accelerated Prediction of Equilibrium Structure, Defect Energetics and Electronic Properties of Semiconductor Materials

Apr 22, 2024, 1:30 PM

2023 MRS Fall Meeting

Exploiting Diverse Knowledge Sources for Autonomous Materials Research

Nov 28, 2023, 8:00 AM

2022 MRS Fall Meeting

Hierarchical Bayesian Data Analysis for Challenging Structural Materials Characterization Problems

Nov 29, 2022, 3:30 PM

2021 MRS Fall Meeting

ALIGNN—Atomistic Line Graph Neural Network for Improved Materials Property Predictions

Dec 7, 2021, 8:15 AM

2021 MRS Fall Meeting

Uncertainty Prediction for Machine Learning Models of Material Properties

Dec 6, 2021, 11:15 AM

2021 MRS Fall Meeting

CAMEO 2.0—Physics-Informed Machine Learning for Materials Exploration, Optimization and Discovery

Dec 2, 2021, 4:45 PM

2021 MRS Fall Meeting

Hard Fought Lessons on Open Data and Code Sharing and the Terra Infirma of Ground Truth

Nov 30, 2021, 1:30 PM

2019 MRS Fall Meeting

A High-Throughput Study of Refractory High-Entropy Alloys Guided by Machine Learning

Dec 5, 2019, 9:15 AM

2019 MRS Spring Meeting

JARVIS-ML—Physics Inspired AI for Fast and Accurate Screening of Materials

Apr 24, 2019, 9:15 AM