Pascal Friederich

Presentation History

2024 MRS Fall Meeting & Exhibit

Dynamic Multi-Fidelity Decision-Making Based on Extended Bayesian Optimization

Dec 5, 2024, 4:15 PM

2024 MRS Fall Meeting & Exhibit

Machine Learning Assisted High-Throughput Synthesis and Design of Photodegradable Hydrogels

Dec 4, 2024, 5:15 PM

2024 MRS Fall Meeting & Exhibit

Explainable AI Enables Molecular Design

Dec 3, 2024, 1:30 PM

2024 MRS Fall Meeting & Exhibit

opXRD—Open Experimental Powder X-Ray Diffraction Database

Dec 2, 2024, 2:00 PM

2024 MRS Spring Meeting

Accelerating Material Discovery of New High-Entropy Materials through High-Throughput Synthesis, Characterization and Machine Learning Methods

Apr 24, 2024, 1:45 PM

2023 MRS Fall Meeting

Connectivity Optimized Nested Graph Networks for Crystal Structures

Nov 29, 2023, 11:30 AM

2023 MRS Fall Meeting

Neural Networks Trained on Synthetically Generated Crystals can Extract Structural Information from ICSD Powder X-Ray Diffractograms

Nov 28, 2023, 3:45 PM

2023 MRS Fall Meeting

Scientific Understanding of Materials using Multi-Explanation Graph Attention Network

Nov 28, 2023, 2:45 PM

2022 MRS Fall Meeting

Machine Learning Methods for the Prediction of Solution Synthesis Parameters

Nov 28, 2022, 8:00 PM

2022 MRS Fall Meeting

MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning

Nov 28, 2022, 5:00 PM

2022 MRS Fall Meeting

Machine Learned Potentials for Reaction Simulations

Nov 27, 2022, 11:15 AM

2021 MRS Fall Meeting

Late News: Machine Learing Accelerates Atomistic Dynamics Simulations for Single-Molecule Photodynamics and Multi-Scale Modeling of Organic Solids

Dec 6, 2021, 11:30 AM

2019 MRS Fall Meeting

Accurate and Explainable Machine Learning of Chemical Reactivity in Transition Metal Complexes

Dec 3, 2019, 4:30 PM