Clyde Fare

Self-Organizing and Stochastic Behaviors During the Regeneration of Hair Stem Cells

Maksim V. Plikus, Ruth E. Baker, Chih-Chiang Chen et al. · Science · 2011 · 217 citations

Regeneration, Environmental Signaling, Adult Stem Cell +21

Evolving the Materials Genome: How Machine Learning Is Fueling the Next Generation of Materials Discovery

Changwon Suh, Clyde Fare, James A. Warren et al. · Annual Review of Materials Research · 2020 · 92 citations

Artificial Intelligence, Engineering, Machine Learning +23

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions

Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca et al. · Future Generation Computer Systems · 2024 · 65 citations · Full text

Materials Science, Engineering, Quantum Computing +11

A multi-fidelity machine learning approach to high throughput materials screening

Clyde Fare, Peter Fenner, Matt Benatan et al. · npj Computational Materials · 2022 · 64 citations · Full text

PyLDM - An open source package for lifetime density analysis of time-resolved spectroscopic data

Gabriel Dorlhiac, Clyde Fare, Jasper J. van Thor · PLoS Computational Biology · 2017 · 29 citations · Full text

Ultrafast Spectroscopy, Complex Systems, Computational Chemistry +23