Yuefan Deng

Presentation History

2023 MRS Fall Meeting

Convolutional Autoencoder and Koopman Operator-Based Markov Chaining for Time Series Forecasting of a Large-Scale Dissipative Particle Dynamics System for Thrombosis Modelling

Nov 30, 2023, 2:15 PM

2023 MRS Fall Meeting

Application of eIF4E Protein-Ligand Modeling for Cancer Drug Discovery

Nov 30, 2023, 8:30 AM

2023 MRS Fall Meeting

Machine Learning Approach to Time-Series Analysis of SARS-CoV-2 Spike Glycoproteins under Varying pH and Temperature Conditions

Nov 28, 2023, 8:00 PM

2023 MRS Fall Meeting

Quantifying the Lennard–Jones Potential between Two Hard Ellipsoids using Coarse-Grained Deep Learning Techniques

Nov 27, 2023, 8:00 PM

2022 MRS Fall Meeting

Accelerating Calculations of Leonard-Jones Potentials using Physics-Informed Neural Network

Dec 2, 2022, 11:45 AM

2022 MRS Fall Meeting

Coarse Graining to Expedite Molecular Dynamics Simulations of Solvated Fibrinogen

Dec 2, 2022, 11:00 AM

2022 MRS Fall Meeting

Machine Learning Accelerated Lattice Boltzmann Simulation for Multiscale Platelet Modeling

Dec 2, 2022, 10:45 AM

2022 MRS Fall Meeting

A Molecular Dynamics and Machine Learning Approach to Predicting SARS-CoV-2 Spike Protein Denaturation at Varying Temperature and pH Levels

Dec 1, 2022, 4:15 PM

2022 MRS Fall Meeting

CG-RNN—A Recurrent Neural Network for Coarse-Grained Force Field Prediction

Nov 30, 2022, 2:15 PM

2021 MRS Fall Meeting

Late News: (Garcia High School Student) MR-Net—Multi-Representation Learning for Protein-Ligand Binding Affinity Prediction

Dec 6, 2021, 9:15 AM

2021 MRS Fall Meeting

Late News: (Garcia High School Student) Performance Analysis of an AI-Guided Coarse-Graining Methodology for More Efficient Protein Modeling

Dec 2, 2021, 11:45 AM