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Creators/Authors contains: "Kevrekidis, Ioannis G."

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Learning effective SDEs from Brownian dynamic simulations of colloidal particles

https://doi.org/10.1039/d2me00086e

Evangelou, Nikolaos ; Dietrich, Felix ; Bello-Rivas, Juan M. ; Yeh, Alex J. ; Hendley, Rachel S. ; Bevan, Michael A. ; Kevrekidis, Ioannis G. ( July 2023 , Molecular Systems Design & Engineering)

We construct a reduced, data-driven, parameter dependent effective Stochastic Differential Equation (eSDE) for electric-field mediated colloidal crystallization using data obtained from Brownian dynamics simulations.

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Free, publicly-accessible full text available July 3, 2024
High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery

https://doi.org/10.1126/science.abn3103

Yao, Yonggang ; Dong, Qi ; Brozena, Alexandra ; Luo, Jian ; Miao, Jianwei ; Chi, Miaofang ; Wang, Chao ; Kevrekidis, Ioannis G. ; Ren, Zhiyong Jason ; Greeley, Jeffrey ; et al ( April 2022 , Science)

A review highlights improvements in synthesizing and stabilizing multielement nanoparticles.
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Long-term p21 and p53 dynamics regulate the frequency of mitosis events and cell cycle arrest following radiation damage

https://doi.org/10.1038/s41418-022-01069-x

Tran, Anh Phong ; Tralie, Christopher J. ; Reyes, José ; Moosmüller, Caroline ; Belkhatir, Zehor ; Kevrekidis, Ioannis G. ; Levine, Arnold J. ; Deasy, Joseph O. ; Tannenbaum, Allen R. ( January 2022 , Cell Death & Differentiation)

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Programmable heating and quenching for efficient thermochemical synthesis

https://doi.org/10.1038/s41586-022-04568-6

Dong, Qi ; Yao, Yonggang ; Cheng, Sichao ; Alexopoulos, Konstantinos ; Gao, Jinlong ; Srinivas, Sanjana ; Wang, Yifan ; Pei, Yong ; Zheng, Chaolun ; Brozena, Alexandra H. ; et al ( May 2022 , Nature)

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Dynamical Modeling of Optogenetic Circuits in Yeast for Metabolic Engineering Applications

https://doi.org/10.1021/acssynbio.0c00372

Lovelett, Robert J. ; Zhao, Evan M. ; Lalwani, Makoto A. ; Toettcher, Jared E. ; Kevrekidis, Ioannis G. ; L. Avalos, José ( February 2021 , ACS Synthetic Biology)
null (Ed.)
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Design and Characterization of Rapid Optogenetic Circuits for Dynamic Control in Yeast Metabolic Engineering

https://doi.org/10.1021/acssynbio.0c00305

Zhao, Evan M. ; Lalwani, Makoto A. ; Lovelett, Robert J. ; García-Echauri, Sergio A. ; Hoffman, Shannon M. ; Gonzalez, Christopher L. ; Toettcher, Jared E. ; Kevrekidis, Ioannis G. ; Avalos, José L. ( December 2020 , ACS Synthetic Biology)
null (Ed.)
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Reconstruction of normal forms by learning informed observation geometries from data

https://doi.org/10.1073/pnas.1620045114

Yair, Or ; Talmon, Ronen ; Coifman, Ronald R. ; Kevrekidis, Ioannis G. ( September 2017 , Proceedings of the National Academy of Sciences)
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning

https://doi.org/10.1109/ACCESS.2018.2882777

Kemeth, Felix P. ; Haugland, Sindre W. ; Dietrich, Felix ; Bertalan, Tom ; Hohlein, Kevin ; Li, Qianxiao ; Bollt, Erik M. ; Talmon, Ronen ; Krischer, Katharina ; Kevrekidis, Ioannis G. ( January 2018 , IEEE Access)
Coarse graining, dynamic renormalization and the kinetic theory of shock clustering

https://doi.org/10.1088/0951-7715/29/3/947

Li, Xingjie ; Williams, Matthew O ; Kevrekidis, Ioannis G ; Menon, Govind ( March 2016 , Nonlinearity)
Manifold learning for organizing unstructured sets of process observations

https://doi.org/10.1063/1.5133725

Dietrich, Felix ; Kooshkbaghi, Mahdi ; Bollt, Erik M. ; Kevrekidis, Ioannis G. ( April 2020 , Chaos: An Interdisciplinary Journal of Nonlinear Science)

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