Edward O. Pyzer‐Knapp
University of Manchester(GB)Sci-Tech Daresbury(GB)IBM Research - Zurich(CH)New College(GB)
Publications by Year
Research Areas
Machine Learning in Materials Science, Computational Drug Discovery Methods, Gaussian Processes and Bayesian Inference, X-ray Diffraction in Crystallography, Machine Learning and Data Classification
Most-Cited Works
- → Accelerating materials discovery using artificial intelligence, high performance computing and robotics(2022)357 cited
- → What Is High-Throughput Virtual Screening? A Perspective from Organic Materials Discovery(2015)317 cited
- → Learning from the Harvard Clean Energy Project: The Use of Neural Networks to Accelerate Materials Discovery(2015)230 cited
- → Controlling the Crystallization of Porous Organic Cages: Molecular Analogs of Isoreticular Frameworks Using Shape-Specific Directing Solvents(2014)154 cited
- → The Harvard organic photovoltaic dataset(2016)141 cited
- → Evolving the Materials Genome: How Machine Learning Is Fueling the Next Generation of Materials Discovery(2020)92 cited