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Publications (23)
- EZClust: A Robust Machine Learning-Based Powder X-Ray Diffraction and Raman Cluster Analysis Model for Efficient High-Throughput Crystallization Polymorph Screening Save
- Structured HTE Data and Integrated Bayesian Optimization Accelerate Scalable Amidation Process Development Save
- Accelerating the Development of Sustainable Catalytic Processes through Data Science Save
- Identifying general reaction conditions by bandit optimization Save
- High-Throughput Crystallization Screening Technique with Transmission PXRD Analysis Save
- A Multi-Objective Active Learning Platform and Web App for Reaction Optimization Save
- Advancing Base Metal Catalysis through Data Science: Insight and Predictive Models for Ni-Catalyzed Borylation through Supervised Machine Learning Save
- Leveraging High-Throughput Experimentation to Drive Pharmaceutical Route Invention: A Four-Step Commercial Synthesis of Branebrutinib (BMS-986195) Save
- Bayesian reaction optimization as a tool for chemical synthesis Save
- High-Throughput Classical Chiral Resolution Screening of Synthetic Intermediates: Effects of Resolving Agents, Crystallization Solvents, and Other Factors Save