Posts by Collection

Javier Read de Alaniz

Associate Professor, Department of Chemistry and Biochemistry, UC Santa Barbara

Research interests: Cascade Rearrangements, Catalysis, Macromolecular Synthesis, Photochromic Material, High-Strain Rate Sensors

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Stacy Copp

Assistant Professor, Department of Materials Science and Engineering, UC Irvine

Research interests: Soft matter-based photonic materials, metal nanoclusters, polymer nanostructures, self-assembly, biomimetics, machine learning for materials discovery

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Abigail Doyle

Professor, Department of Chemistry, UC Los Angeles

Research interests: Catalysis, Data Science, Organic Synthesis, Organometallic Chemistry, Physical Organic Chemistry

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Mengyang Gu

Assistant Professor, Department of Statistics and Applied Probability, UC Santa Barbara

Research Interests: Uncertainty quantification, Bayesian analysis, Statistical emulator for expensive computer simulations, Scalable methods for large spatio-temporal datasets, Data assimilation and inversion, Geophysical model calibration for natural hazard assessment

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Ram Seshadri

Distinguished Professor, Department of Materials Department and Department of Chemistry & Biochemistry, UC Santa Barbara

Research interests: Crystal chemistry, crystal-structure, property relations in functional inorganic materials, compositional tuning of the properties of extended solids through solid solution

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Rose Yu

Assistant Professor, Department of Computer Science and Engineering, UC San Diego

Research interests: Machine learning, Deep learning, Optimization, and Spatiotemporal reasoning

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[1] Mastracco, P., & Copp, S. M. (2023). Beyond nature’s base pairs: machine learning-enabled design of DNA-stabilized silver nanoclusters. Chemical Communications, 59(69), 10360-10375.

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[2] Gu, M., Fang, X., & Luo, Y. (2023). Data-driven model construction for anisotropic dynamics of active matter. PRX Life, 1(1), 013009.

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[3] Gu, M., Lin, Y., Lee, V. C., & Qiu, D. Y. (2024). Probabilistic forecast of nonlinear dynamical systems with uncertainty quantification. Physica D: Nonlinear Phenomena, 457, 133938.

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[4] Fang, X., Murphy, E., Kohl, P., Li, Y., Hawker, C., Bates, C., & Gu, M. (2024). Universal Phase Identification of Block Copolymers from Physics-informed Machine Learning. Chemrxiv Preprint, DOI: 10.26434/chemrxiv-2024-9zjt0.

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[5] Gu, M., He, Y., Liu, X., & Luo, Y. (2024). Ab initio uncertainty quantification in scattering analysis of microscopy. Physical Review E, 110(3), 034601. DOI: 10.1103/PhysRevE.110.034601.

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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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