Daniel Schwalbe Koda

Presentation History

2024 MRS Spring Meeting

Robust Machine Learning allows Accurate Modeling of Thermodynamics of Catalysts and Bulk Materials

Apr 26, 2024, 4:00 PM

2023 MRS Fall Meeting

Graph Neural Networks to Predict Ordering-Dependent Properties from Multicomponent Crystal Structures

Nov 30, 2023, 8:30 AM

2022 MRS Fall Meeting

Combining Density Functional Theory and Machine Learning for Compositional Optimization of Alloyed Perovskite Electrocatalysts

Dec 2, 2022, 4:15 PM

2022 MRS Spring Meeting

Analysis of Multi-Component Perovskites as Oxygen Evolution Reaction Catalysts through High-Throughput Simulations and Machine Learning

May 11, 2022, 10:30 AM

2021 MRS Fall Meeting

Differentiable Sampling of Molecular Geometries with Uncertainty-Based Adversarial Attacks

Dec 2, 2021, 2:15 PM

2021 MRS Fall Meeting

Inorganic Synthesis Planning for Zeolites Enabled by Data Extraction and Generative Modeling

Dec 1, 2021, 8:00 PM

2021 MRS Fall Meeting

Machine Learning Design of Low-Cost, Selective Organic Templates for Zeolites

Nov 30, 2021, 4:15 PM

2021 MRS Fall Meeting

A priori Control of Zeolite Synthesis with High-Throughput Simulations

Nov 30, 2021, 4:00 PM

2021 MRS Fall Meeting

Per-Atom Magnetic Moment Prediction in Transition Metal Oxides

Nov 30, 2021, 11:00 AM