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Soft Matter, 2020, 16, 3187
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Inverting the design path for self-assembled block copolymers

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Mol. Syst. Des. Eng., 2017, 2, 539
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Morphology dictated heterogeneous dynamics in two-dimensional aggregates

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Soft Matter, 2016, 12, 9674
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Inverse design of grafted nanoparticles for targeted self-assembly

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Mol. Syst. Des. Eng., 2018, 3, 214
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Stability of the high-density Jagla liquid in 2D: sensitivity to parameterisation

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Soft Matter, 2022, 18, 5261
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Inverse design of self-assembling colloidal crystals with omnidirectional photonic bandgaps

Yutao Ma and Andrew L. Ferguson

Soft Matter, 2019, 15, 8808
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Inverse design of triblock Janus spheres for self-assembly of complex structures in the crystallization slot via digital alchemy

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Soft Matter, 2023, 19, 2726
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Tuning polymer architecture to manipulate the relative stability of different colloid crystal morphologies

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Soft Matter, 2015, 11, 5146
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Equilibrium cluster fluids: pair interactions via inverse design

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Soft Matter, 2015, 11, 9342
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Assembly of nothing: equilibrium fluids with designed structured porosity

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Soft Matter, 2016, 12, 2663
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Self-assembly with colloidal clusters: facile crystal design using connectivity landscape analysis

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Soft Matter, 2017, 13, 7098
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Discovering crystals using shape matching and machine learning

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Soft Matter, 2013, 9, 8552
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Assembly of multi-flavored two-dimensional colloidal crystals

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Soft Matter, 2017, 13, 5397
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Interactions and design rules for assembly of porous colloidal mesophases

Beth A. Lindquist, Sayantan Dutta, Ryan B. Jadrich, Delia J. Milliron and Thomas M. Truskett

Soft Matter, 2017, 13, 1335
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Engineering entropy in soft matter: the bad, the ugly and the good

Fernando A. Escobedo

Soft Matter, 2014, 10, 8388
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Atomic self-assembly of the random system into a stably triangular lattice

Le Van Sang

Eur. Phys. J. Plus, 2016, 131
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Alchemical molecular dynamics for inverse design

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Molecular Physics, 2019, 117, 3968
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Inverse Design of Colloidal Crystals via Optimized Patchy Interactions

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J. Phys. Chem. B, 2018, 122, 8462
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Engineering entropy for the inverse design of colloidal crystals from hard shapes

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Sci. Adv., 2019, 5
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Three-Dimensional Patterning of Nanoparticles by Molecular Stamping

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ACS Nano, 2020, 14, 6823
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Graphoepitaxy for translational and orientational ordering of monolayers of rectangular nanoparticles

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Phys. Rev. E, 2016, 93
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Inverse Design of Self-Assembling Frank-Kasper Phases and Insights Into Emergent Quasicrystals

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J. Phys. Chem. B, 2018, 122, 5547
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Using the uncertainty principle to design simple interactions for targeted self-assembly

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The Journal of Chemical Physics, 2013, 139
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Surveying the free energy landscape of clusters of attractive colloidal spheres

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The Journal of Chemical Physics, 2020, 152
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The stripe phase of two-dimensional core-softened systems: Structure recognition

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Physica A: Statistical Mechanics and its Applications, 2019, 527, 121401
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Non-close-packed three-dimensional quasicrystals

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The role of pressure in inverse design for assembly

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The Journal of Chemical Physics, 2019, 151
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relentless: Transparent, reproducible molecular dynamics simulations for optimization

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The Journal of Chemical Physics, 2024, 161
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Inverse methods for material design

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AIChE Journal, 2014, 60, 2732
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Dimensionality and Design of Isotropic Interactions that Stabilize Honeycomb, Square, Simple Cubic, and Diamond Lattices

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Phys. Rev. X, 2014, 4
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Turning statistical physics models into materials design engines

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Influence of Patch-Size Variability on the Crystallization of Tetrahedral Patchy Particles

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Designing convex repulsive pair potentials that favor assembly of kagome and snub square lattices

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The Journal of Chemical Physics, 2016, 145
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Breadth versus depth: Interactions that stabilize particle assemblies to changes in density or temperature

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The Journal of Chemical Physics, 2016, 144
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Targeted Discovery of Low-Coordinated Crystal Structures via Tunable Particle Interactions

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ACS Nano, 2023, 17, 7157
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Computational self-assembly of a one-component icosahedral quasicrystal

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Nature Mater, 2015, 14, 109
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Probabilistic inverse design for self-assembling materials

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The Journal of Chemical Physics, 2017, 146
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Patterns in 2D core-softened systems: From sphere to dumbbell colloids

T.P.O. Nogueira and José Rafael Bordin

Physica A: Statistical Mechanics and its Applications, 2022, 605, 128048
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Communication: Inverse design for self-assembly via on-the-fly optimization

Beth A. Lindquist, Ryan B. Jadrich and Thomas M. Truskett

The Journal of Chemical Physics, 2016, 145
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Phase diagrams of extended and deformed kagome lattices

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Physica A: Statistical Mechanics and its Applications, 2022, 585, 126397
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Probing the limitations of isotropic pair potentials to produce ground-state structural extremes via inverse statistical mechanics

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Insight into Liquid Polymorphism from the Complex Phase Behavior of a Simple Model

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Colloidal Cluster Assembly into Ordered Superstructures via Engineered Directional Binding

Mehdi B. Zanjani, Ian C. Jenkins, John C. Crocker and Talid Sinno

ACS Nano, 2016, 10, 11280
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Inverse design of isotropic pair potentials using digital alchemy with a generalized Fourier potential

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Eur. Phys. J. B, 2021, 94
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Structural Characterization and Statistical-Mechanical Model of Epidermal Patterns

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Biophysical Journal, 2016, 111, 2534
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Design of two-dimensional particle assemblies using isotropic pair interactions with an attractive well

William D. Piñeros, Ryan B. Jadrich and Thomas M. Truskett

AIP Advances, 2017, 7
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Revealing a Vacancy Analog of the Crowdion Interstitial in Simple Cubic Crystals

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A snapshot review on soft materials assembly design utilizing machine learning methods

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MRS Advances, 2024, 9, 1088
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Stealth and equiluminous materials for scattering cancellation and wave diffusion

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Waves in Random and Complex Media, 2024, 34, 1878
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Communication: Fine discretization of pair interactions and an approximate analytical strategy for predicting equilibrium behavior of complex fluids

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The Journal of Chemical Physics, 2013, 139
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The phase diagram of a two-dimensional core-softened system with purely repulsive monotonic potential

Yu.D. Fomin

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Designing pairwise interactions that stabilize open crystals: Truncated square and truncated hexagonal lattices

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The Journal of Chemical Physics, 2017, 146
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A simple method to design interaction potentials able to generate a desired geometrical pattern

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Inverse methods for design of soft materials

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The Journal of Chemical Physics, 2020, 152
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Graphoepitaxy for Pattern Multiplication of Nanoparticle Monolayers

Mark E. Ferraro, Roger T. Bonnecaze and Thomas M. Truskett

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Spherical-Symmetry and Spin Effects on the Uncertainty Measures of Multidimensional Quantum Systems with Central Potentials

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Entropy, 2021, 23, 607
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Communication: Phase behavior of materials with isotropic interactions designed by inverse strategies to favor diamond and simple cubic lattice ground states

Avni Jain, Jeffrey R. Errington and Thomas M. Truskett

The Journal of Chemical Physics, 2013, 139
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Water-like Anomalies and Phase Behavior of a Pair Potential that Stabilizes Diamond

Andressa A. Bertolazzo, Abhinaw Kumar, Charusita Chakravarty and Valeria Molinero

J. Phys. Chem. B, 2016, 120, 1649
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Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assembly

Nathan A. Mahynski, Evan Pretti, Vincent K. Shen and Jeetain Mittal

Nat Commun, 2019, 10
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Self-assembly of complex structures in colloid-polymer mixtures

Erdal C. Oğuz, Aleksandar Mijailović and Michael Schmiedeberg

Phys. Rev. E, 2018, 98
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Digital Alchemy for Materials Design: Colloids and Beyond

Greg van Anders, Daphne Klotsa, Andrew S. Karas, Paul M. Dodd and Sharon C. Glotzer

ACS Nano, 2015, 9, 9542
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Free-energy functional method for inverse problem of self assembly

Masashi Torikai

The Journal of Chemical Physics, 2015, 142
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Implicit Chain Particle Model for Polymer-Grafted Nanoparticles

Zhenghao Wu, Subhadeep Pal and Sinan Keten

Macromolecules, 2023, 56, 3259
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Designer spin systems via inverse statistical mechanics. II. Ground-state enumeration and classification

Étienne Marcotte, Robert A. DiStasio, Frank H. Stillinger and Salvatore Torquato

Phys. Rev. B, 2013, 88
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Inverse design of soft materials via a deep learning–based evolutionary strategy

Gabriele M. Coli, Emanuele Boattini, Laura Filion and Marjolein Dijkstra

Sci. Adv., 2022, 8
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Self-organized architectures from assorted DNA-framed nanoparticles

Wenyan Liu, Jonathan Halverson, Ye Tian, Alexei V. Tkachenko and Oleg Gang

Nature Chem, 2016, 8, 867
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Displacive phase-field crystal model

Eli Alster, K. R. Elder and Peter W. Voorhees

Phys. Rev. Materials, 2020, 4
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Precise determination of pair interactions from pair statistics of many-body systems in and out of equilibrium

Salvatore Torquato and Haina Wang

Phys. Rev. E, 2022, 106
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Symmetry Considerations for the Targeted Assembly of Entropically Stabilized Colloidal Crystals via Voronoi Particles

Benjamin A. Schultz, Pablo F. Damasceno, Michael Engel and Sharon C. Glotzer

ACS Nano, 2015, 9, 2336
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Inverse design of multicomponent assemblies

William D. Piñeros, Beth A. Lindquist, Ryan B. Jadrich and Thomas M. Truskett

The Journal of Chemical Physics, 2018, 148
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Programming patchy particles to form complex periodic structures

Daniel F. Tracey, Eva G. Noya and Jonathan P. K. Doye

The Journal of Chemical Physics, 2019, 151
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Realizability of iso-g2 processes via effective pair interactions

Haina Wang, Frank H. Stillinger and Salvatore Torquato

The Journal of Chemical Physics, 2022, 157
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Predicting the structure of fluids with piecewise constant interactions: Comparing the accuracy of five efficient integral equation theories

Kyle B. Hollingshead and Thomas M. Truskett

Phys. Rev. E, 2015, 91
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Binary nanoparticle superlattices of soft-particle systems

Alex Travesset

Proc. Natl. Acad. Sci. U.S.A., 2015, 112, 9563
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Prediction of binary nanoparticle superlattices from soft potentials

Nathan Horst and Alex Travesset

The Journal of Chemical Physics, 2016, 144
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