CD

02/03/2023：Our AI4Science community has a new website, go check it out (link)!

01/29/2023: A paper that Chenru is first authored on, "A Transferable Recommender Approach for Selecting the Best Density Functional Approximations in Chemical Discovery", is now published in Nature Computational Science (link). See a short intro of the work on twitter (link). Thanks Prof. Stefan Vuckovic for the highlight in a News&Views (link).

12/07/2022: A paper that Chenru is first authored on, "Active Learning Exploration of Transition-Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores", is now published in JACS Au (link). See a short intro of the work on twitter (link)

12/02/2022: The #AI4Science workshop that Chenru participated organizing closes with great success on NeurIPS 2022. See more info at our program (link). Pictures available at my LinkedIn post (link)

08/10/2022: Chenru starts as a visiting scientist at Microsoft Quantum team, building machine learning and quantum solutions for materials and chemistry problems

08/01/2022: Chenru defended his Ph.D. (link), entitled "Quantum Chemistry Meets Machine Learning: Autonomous Computational Workflow for Chemical Discovery"

06/23/2022: Same day, the first #AI4Science workshop that Chenru participated organizing, successfully concluded in ICML 2022 (link)

06/23/2022: A paper that Chenru is first authored on, "Machine Learning Models Predict Calculation Outcomes with the Transferability Necessary for Computational Catalysis", is now published in J. Chem. Theory Comput. (link). See a short intro of the work on twitter (link)