Conference talk, 2024 AIChE annual meeting, San Diego, CA
topic: Improving Uncertainty Estimation Based on Latent Space Distance for Graph Neural Network Potentials
AI for Science Workshop poster, NeurIPS, New Orleans, LA
topic: Predictive Uncertainty Quantification for Graph Neural Network Driven Relaxed Energy Calculations
Conference talk, 2022 AIChE annual meeting, Phoenix, AZ
topic: Finetuna: Fine-Tuning Accelerated Molecular Simulations
Conference talk, 27th North American Catalysis Society Meeting, New York, NY
topic: Accelerating Geometric Optimizations by Finetuning Open Catalyst Project Models with Active Learning
Conference poster, 2021 AIChE annual meeting, Boston, MA
topic: Accelerating on-the-Fly Active Learning of Catalyst Simulations Using Large Scale Pretrained Models