Picture for Ziheng Lu

Ziheng Lu

Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling

Add code
Dec 06, 2023
Viaarxiv icon

BatteryML:An Open-source platform for Machine Learning on Battery Degradation

Add code
Oct 23, 2023
Viaarxiv icon

Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions

Add code
Oct 11, 2023
Figure 1 for Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions
Figure 2 for Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions
Figure 3 for Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions
Figure 4 for Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions
Viaarxiv icon

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning

Add code
Sep 28, 2023
Figure 1 for M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning
Figure 2 for M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning
Figure 3 for M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning
Figure 4 for M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning
Viaarxiv icon

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning

Add code
Jun 08, 2023
Figure 1 for Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Figure 2 for Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Figure 3 for Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Figure 4 for Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Viaarxiv icon