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RESEARCH PAPER · APL Materials · 2016

Perspective: Evolutionary design of granular media and block copolymer patterns

Heinrich M. Jaeger, Juan Pablo

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36 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Perspective: Evolutionary design of granular media and block copolymer patternsOriginalPreface: Special Topic on Materials Genome11Neural-Network-Biased Genetic Algorithms for Materials Design: Evolutionary Algorithms That Learn127Inverting the design path for self-assembled block copolymers25Rational design of patchy colloids via landscape engineering49Optimizing self-consistent field theory block copolymer models with X-ray metrology15Network analysis of particles and grains197Using block copolymers as infiltration sites for development of future nanoelectronic devices: Achievements, barriers, and opportunities42Evolutionary strategy for inverse charge measurements of dielectric particles4Materials by Design for Stiff and Tough Hairy Nanoparticle Assemblies59Bioinspired nonequilibrium search for novel materials9Programmable Granular Metamaterials for Reusable Energy Absorption159Engineering of Molecular Geometry in Bottlebrush Polymers66Computational Reverse-Engineering Analysis for Scattering Experiments on Amphiphilic Block Polymer Solutions37The role of pressure in inverse design for assembly10Utilising Evolutionary Algorithms to Design Granular Materials for Industrial Applications8Process-directed self-assembly of copolymers: Results of and challenges for simulation studies80Inverse methods for design of soft materials94Multi-objective exploration of a granular matter design space7Computational Reverse-Engineering Analysis of Scattering Experiments (CREASE) on Amphiphilic Block Polymer Solutions: Cylindrical and Fibrillar Assembly23Inverse design of equilibrium cluster fluids applied to a physically informed model13Evolving soft robotic jamming grippers28Sequence Engineering of Copolymers using Evolutionary Computing1Open-source platform for block polymer formulation design using particle swarm optimization9Data-Driven Methods for Accelerating Polymer Design122Sequence‐defined Pareto frontier of a copolymer structure12Optimal Replica-Exchange Molecular Simulations in Combination with Evolution Strategies5Evolving polydisperse soft robotic jamming grippers4Crystal Prediction via Genetic Algorithms in a Model Chiral System1What is shape? Characterizing particle morphology with genetic algorithms and deep generative models13Bayesian modeling of pattern formation from one snapshot of pattern10Computational Reverse-Engineering Analysis for Scattering Experiments for Form Factor and Structure Factor Determination (“ P ( q ) and S ( q ) CREASE”)30Mechanism of structural colors in binary mixtures of nanoparticle-based supraballs29Surrogate Modeling of the Relative Entropy for Inverse Design Using Smolyak Sparse Grids5Data-driven discovery and design of additives for controlled polymer morphology and performance0Deep Learning-Based Reconstruction of 3D Morphology of Geomaterial Particles from Single-View 2D Images10Learning nature’s assembly language with polymers1

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36 direct citing papers saved.

  1. Preface: Special Topic on Materials Genome

    APL Materials · 2016-05-01

    Carolyn L. Phillips, P. B. Littlewood

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  2. Neural-Network-Biased Genetic Algorithms for Materials Design: Evolutionary Algorithms That Learn

    ACS Combinatorial Science · 2016-12-20

    Tarak K. Patra, Venkatesh Meenakshisundaram, Jui-Hsiang Hung, David Simmons

    Read original paper ↗ ·

  3. Inverting the design path for self-assembled block copolymers

    Molecular Systems Design & Engineering · 2017-01-01

    Karim Gadelrab, Adam F. Hannon, Caroline Anne Ross, Alfredo Alexander‐Katz

    Read original paper ↗ ·

  4. Rational design of patchy colloids via landscape engineering

    Molecular Systems Design & Engineering · 2017-10-17

    Andrew Long, Andrew L. Ferguson

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  5. Optimizing self-consistent field theory block copolymer models with X-ray metrology

    Molecular Systems Design & Engineering · 2018-01-01

    Adam F. Hannon, Daniel F. Sunday, Alec Bowen, Gurdaman Khaira, Jiaxing Ren, Paul F. Nealey, Juan Pablo, R. Joseph Kline

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  6. Network analysis of particles and grains

    Journal of Complex Networks · 2018-02-02

    Lia Papadopoulos, Mason A Porter, Karen E. Daniels, Danielle S. Bassett

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  7. Using block copolymers as infiltration sites for development of future nanoelectronic devices: Achievements, barriers, and opportunities

    Microelectronic Engineering · 2018-04-05

    Cian Cummins, Michael A. Morris

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  8. Evolutionary strategy for inverse charge measurements of dielectric particles

    The Journal of Chemical Physics · 2018-06-18

    Xikai Jiang, Jiyuan Li, Victor Lee, Heinrich M. Jaeger, Olle G. Heinonen, Juan J. de Pablo

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  9. Materials by Design for Stiff and Tough Hairy Nanoparticle Assemblies

    ACS Nano · 2018-07-05

    Nitin Krishnamurthy Hansoge, Tianyu Huang, Robert Sinko, Wenjie Xia, Wei Chen, Sinan Keten

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  10. Bioinspired nonequilibrium search for novel materials

    MRS Bulletin · 2019-02-01

    Arvind Murugan, Heinrich M. Jaeger

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  11. Programmable Granular Metamaterials for Reusable Energy Absorption

    Advanced Functional Materials · 2019-05-21

    Kangjia Fu, Zhihua Zhao, Lihua Jin

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  12. Engineering of Molecular Geometry in Bottlebrush Polymers

    Macromolecules · 2019-06-20

    Dylan J. Walsh, Sarit Dutta, Charles E. Sing, Damien Guironnet

    Read original paper ↗ ·

  13. Computational Reverse-Engineering Analysis for Scattering Experiments on Amphiphilic Block Polymer Solutions

    Journal of the American Chemical Society · 2019-09-09

    Daniel J. Beltran-Villegas, Michiel G. Wessels, Jee Young Lee, Yue Hong Song, Karen L. Wooley, Darrin J. Pochan, Arthi Jayaraman

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  14. The role of pressure in inverse design for assembly

    The Journal of Chemical Physics · 2019-09-10

    Beth A. Lindquist, Ryan B. Jadrich, Michael P. Howard, Thomas M. Truskett

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  15. Utilising Evolutionary Algorithms to Design Granular Materials for Industrial Applications

    IEEE International Conference on Machine Learning and Applications (ICMLA) · 2019-12-01

    Gary W. Delaney, David Howard, Krystal De Napoli

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  16. Process-directed self-assembly of copolymers: Results of and challenges for simulation studies

    Progress in Polymer Science · 2020-01-08

    Marcus Müller

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  17. Inverse methods for design of soft materials

    The Journal of Chemical Physics · 2020-04-09

    Zachary M. Sherman, Michael P. Howard, Beth A. Lindquist, Ryan B. Jadrich, Thomas M. Truskett

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  18. Multi-objective exploration of a granular matter design space

    Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 2020-07-08

    Gary W. Delaney, Gerard Howard

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  19. Computational Reverse-Engineering Analysis of Scattering Experiments (CREASE) on Amphiphilic Block Polymer Solutions: Cylindrical and Fibrillar Assembly

    Macromolecules · 2021-01-05

    Michiel G. Wessels, Arthi Jayaraman

    Read original paper ↗ ·

  20. Inverse design of equilibrium cluster fluids applied to a physically informed model

    The Journal of Chemical Physics · 2021-05-04

    Beth A. Lindquist

    Read original paper ↗ ·

  21. Evolving soft robotic jamming grippers

    Genetic and Evolutionary Computation Conference (GECCO) · 2021-06-21

    Seth G. Fitzgerald, Gary W. Delaney, David Howard, Frédéric Maire

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  22. Sequence Engineering of Copolymers using Evolutionary Computing

    arXiv (Cornell University) · 2021-07-14

    Ashwin A. Bale, Tarak K. Patra

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  23. Open-source platform for block polymer formulation design using particle swarm optimization

    The European Physical Journal E · 2021-09-01

    Logan J. Case, Kris T. Delaney, Glenn H. Fredrickson, Frank S. Bates, Kevin D. Dorfman

    Read original paper ↗ ·

  24. Data-Driven Methods for Accelerating Polymer Design

    ACS Polymers Au · 2021-12-28

    Tarak K. Patra

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  25. Sequence‐defined Pareto frontier of a copolymer structure

    Journal of Polymer Science · 2022-04-25

    Ashwin A. Bale, Sachin M. B. Gautham, Tarak K. Patra

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  26. Optimal Replica-Exchange Molecular Simulations in Combination with Evolution Strategies

    Journal of Chemical Information and Modeling · 2022-07-04

    Akie Kowaguchi, Katsuhiro Endo, Paul E. Brumby, Kentaro Nomura, Kenji Yasuoka

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  27. Evolving polydisperse soft robotic jamming grippers

    Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 2022-07-09

    Seth G. Fitzgerald, Gary W. Delaney, David Howard, Frédéric Maire

    Read original paper ↗ ·

  28. Crystal Prediction via Genetic Algorithms in a Model Chiral System

    The Journal of Physical Chemistry B · 2022-09-26

    Nikolai D. Petsev, Arash Nikoubashman, Folarin Latinwo, Frank H. Stillinger, Pablo G. Debenedetti

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  29. What is shape? Characterizing particle morphology with genetic algorithms and deep generative models

    Granular Matter · 2022-11-04

    Robert Buarque de Macedo, Siavash Monfared, Konstantinos Karapiperis, José E. Andrade

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  30. Bayesian modeling of pattern formation from one snapshot of pattern

    Physical review. E · 2022-12-07

    Natsuhiko Yoshinaga, Satoru Tokuda

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  31. Computational Reverse-Engineering Analysis for Scattering Experiments for Form Factor and Structure Factor Determination (“ P ( q ) and S ( q ) CREASE”)

    JACS Au · 2023-02-20

    Christian M. Heil, Yingzhen Ma, Bhuvnesh Bharti, Arthi Jayaraman

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  32. Mechanism of structural colors in binary mixtures of nanoparticle-based supraballs

    Science Advances · 2023-05-26

    Christian M. Heil, Anvay Patil, Bram Vanthournout, Saranshu Singla, Markus Bleuel, Jing-Jin Song, Ziying Hu, Nathan C. Gianneschi, Matthew D. Shawkey, Sunil Kumar Sinha, Arthi Jayaraman, Ali Dhinojwala

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  33. Surrogate Modeling of the Relative Entropy for Inverse Design Using Smolyak Sparse Grids

    Journal of Chemical Theory and Computation · 2023-09-13

    C. Levi Petix, Mohammadreza Fakhraei, Chris A. Kieslich, Michael P. Howard

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  34. Data-driven discovery and design of additives for controlled polymer morphology and performance

    Elsevier eBooks · 2024-01-01

    Sanket Diwale, Nathan W. Volchko, Alexander J. Bourque, Richard D. Braatz, Gregory C. Rutledge

    Read original paper ↗ ·

  35. Deep Learning-Based Reconstruction of 3D Morphology of Geomaterial Particles from Single-View 2D Images

    Materials · 2024-10-18

    Jiangpeng Zhao, Heping Xie, Cunbao Li, Yifei Liu

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  36. Learning nature’s assembly language with polymers

    Proceedings of the National Academy of Sciences · 2026-02-10

    Oliver Xie, Alexander E. Cohen, Martin Z. Bazant, Bradley D. Olsen

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