Welcome to the Kitchin Group
Our group utilizes data science and machine learning to solve problems in catalysis and engineering. Our current focuses include developing machine learned potentials for molecular simulations, and design of experiments for high-throughput experimentation.
News
- June 08, 2024 New publication - Pourbaix Machine Learning Framework Identifies Acidic Water Oxidation Catalysts Exhibiting Suppressed Ruthenium Dissolution
- June 06, 2024 New publication - Surface Segregation Studies in Ternary Noble Metal Alloys Comparing DFT and Machine Learning with Experimental Data
- May 23, 2024 New publication - Cyclic Steady-State Simulation and Waveform Design for Dynamic Programmable Catalysis
- April 20, 2024 Generalization of Graph-Based Active Learning Relaxation Strategies Across Materials
- February 17, 2024 New publication - Circumventing data imbalance in magnetic ground state data for magnetic moment predictions
Current post (600 and counting)
10 years ago - org mode is awesome video July 04, 2024
Ten years ago I posted a video on YouTube titled "org mode is awesome". This 18 minute video was a tour of features in org-mode that ranged included, outlining, task management, agendas, tables ...
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