Toggle Poster Visibility
Fri Dec 02 06:00 AM -- 06:30 AM (PST) None
Opening Remarks
Fri Dec 02 06:30 AM -- 07:30 AM (PST) None
Everyday Research Challenges in AI for Automated Materials Design
Fri Dec 02 07:30 AM -- 08:00 AM (PST) None
AI-Guided Design Keynote
Fri Dec 02 08:00 AM -- 08:30 AM (PST) None
Coffee Break
Fri Dec 02 08:30 AM -- 08:40 AM (PST) None
Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science
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OpenReview]
Fri Dec 02 08:40 AM -- 08:50 AM (PST) None
Accelerating the Discovery of Rare Materials with Bounded Optimization Techniques
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OpenReview]
Fri Dec 02 08:50 AM -- 09:00 AM (PST) None
A Data-efficient Multiobjective Machine Learning Method For 3D-printed Architected Materials Design
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OpenReview]
Fri Dec 02 09:00 AM -- 09:10 AM (PST) None
MolPAL: Software for Sample Efficient High-Throughput Virtual Screening
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OpenReview]
Fri Dec 02 09:10 AM -- 09:30 AM (PST) None
AI-Guided Design Spotlight Q&A
Fri Dec 02 09:30 AM -- 10:30 AM (PST) None
Poster Session
Fri Dec 02 11:00 AM -- 11:30 AM (PST) None
Automated Materials Synthesis Keynote
Fri Dec 02 11:30 AM -- 11:40 AM (PST) None
Element-Wise Formulation of Inorganic Retrosynthesis
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OpenReview]
Fri Dec 02 11:40 AM -- 11:50 AM (PST) None
A High-Throughput Platform for Efficient Exploration of Polypeptides Chemical Space via Automation and Machine Learning
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OpenReview]
Fri Dec 02 11:50 AM -- 12:00 PM (PST) None
Differential top-k learning for template-based single-step retrosynthesis
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OpenReview]
Fri Dec 02 12:00 PM -- 12:10 PM (PST) None
A self-driving laboratory optimizes a scalable materials manufacturing process
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OpenReview]
Fri Dec 02 12:10 PM -- 12:30 PM (PST) None
Automated Materials Synthesis Spotlight Q&A
Fri Dec 02 12:30 PM -- 01:00 PM (PST) None
Automated Materials Characterization Keynote
Fri Dec 02 01:00 PM -- 01:30 PM (PST) None
Coffee Break
Fri Dec 02 01:30 PM -- 01:40 PM (PST) None
Robust design of semi-automated clustering models for 4D-STEM datasets
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OpenReview]
Fri Dec 02 01:40 PM -- 01:50 PM (PST) None
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models
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OpenReview]
Fri Dec 02 01:50 PM -- 02:00 PM (PST) None
Experimental platform and digital twin for AI-driven materials optimization and discovery for microelectronics using atomic layer deposition
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OpenReview]
Fri Dec 02 02:00 PM -- 02:10 PM (PST) None
The Largest Knowledge Graph in Materials Science - Entities, Relations, and Link Prediction through Graph Representation Learning
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OpenReview]
Fri Dec 02 02:10 PM -- 02:30 PM (PST) None
Automated Materials Synthesis Spotlight Q&A
Fri Dec 02 02:30 PM -- 03:00 PM (PST) None
Closing Remarks
None
A deep learning and data archaeology approach for mosquito repellent discovery
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Poster]
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OpenReview]
None
Extracting Structural Motifs from Pair Distribution Function Data of Nanostructures using Explainable Machine Learning
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Poster]
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OpenReview]
None
PhAST: Physics-Aware, Scalable, and Task-specific GNNs for accelerated catalyst design
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OpenReview]
None
Integrating AI, automation and multiscale simulations for end-to-end design of phase-separating proteins
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Poster]
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OpenReview]
None
Generative Design of Material Microstructures for Organic Solar Cells using Diffusion Models
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Poster]
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OpenReview]
None
Assessing multi-objective optimization of molecules with genetic algorithms against relevant baselines
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Poster]
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OpenReview]
None
Information Recovery via Matrix Completion for Piezoresponse Force Microscopy Data
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Poster]
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OpenReview]
None
More trustworthy Bayesian optimization of materials properties by adding human into the loop
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OpenReview]
None
Transfer Learning Lithium and Electrolyte Potential Energy Surfaces from Pure and Hybrid DFT
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Poster]
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OpenReview]
None
DeepStruc: Towards structure solution from pair distribution function data using deep generative models
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Poster]
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OpenReview]
None
A Generalized Framework for Microstructural Optimization using Neural Networks
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Poster]
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OpenReview]
None
Neural Structure Fields with Application to Crystal Structure Auto-Encoders
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Poster]
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OpenReview]
None
Hyperparameter Optimization of Graph Neural Networks for the OpenCatalyst Dataset: A Case Study
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Poster]
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OpenReview]
None
Geometric Considerations for Normalization Layers in Equivariant Neural Networks
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Poster]
[
OpenReview]
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