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Initiative for Computational Catalysis

Machine Learning for Computational Catalysis

  • Organized by
  • Portrait photo of Angel RubioAngel Rubio, Ph.D.Co-Director, Initiative for Computational Catalysis, Flatiron Institute
  • Tim Berkelbach selfieTimothy Berkelbach, Ph.D.Co-Director, Initiative for Computational Catalysis, Flatiron Institute
  • Jutta Rogal, Ph.D.Research Scientist, Initiative for Computational Catalysis, Flatiron Institute
  • Ankit Mahajan, Ph.D.Associate Research Scientist, Initiative for Computational Catalysis and Center for Computational Quantum Physics., Flatiron Institute
  • Diptarka Hait, Ph.D.Associate Research Scientist, Initiative for Computational Catalysis, Flatiron Institute
  • Huanchen Zhai, Ph.D.Associate Research Scientist - Software, Initiative for Computational Catalysis, Flatiron Institute
  • Jigyasa Nigam, Ph.D.Associate Research Scientist, Initiative for Computational Catalysis, Flatiron Institute
Date


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Location

Ingrid Daubechies Auditorium (IDA)

Invitation Only

The workshop aims to bring together researchers with an interest in machine learning methods applied to challenging problems in catalysis to assess the state of the art and identify future directions.

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