Perspective: Inverse methods for material design

Abstract

In this Perspective, we highlight several recent studies that illustrate how inverse strategies using appropriate physical models and computational methods can address complex materials design questions.

5 pages + references, 5 figures

References in corpus (16)

• Is Random Close Packing of Spheres Well Defined?
• Local Density Fluctuations, Hyperuniformity, and Order Metrics
• Avian photoreceptor patterns represent a disordered hyperuniform solution to a multiscale packing problem
• Isotropic Band Gaps and Freeform Waveguides Observed in Hyperuniform Disordered Photonic Solids
• Complete Band Gaps in 2D Photonic Quasicrystals
• DNA-Programmed Mesoscopic Architecture
• Inverse design of simple pairwise interactions with low-coordinated 3D lattice ground states
• Tuning density profiles and mobility of inhomogeneous fluids
• Photonic Band Gaps in 3D Network Structures with Short-range Order
• Designed Diamond Ground State via Optimized Isotropic Monotonic Pair Potentials
• Inverse Statistical Mechanics: Probing the Limitations of Isotropic Pair Potentials to Produce Ground-State Structural Extremes
• Self-assembly scenarios of patchy colloidal particles
• Fabrication of mesoscale polymeric templates for three-dimensional disordered photonic materials
• Phase Behavior of Materials with Isotropic Interactions Designed by Inverse Strategies to Favor Diamond and Simple Cubic Lattice Ground States
• Using the uncertainty principle to design simple interactions for targeted self-assembly
• Enhancing tracer diffusivity by tuning interparticle interactions and coordination shell structure

Cited by in corpus (29)

• Programmable Mechanical Metamaterials
• Inverse methods for design of soft materials
• Computational inverse method for constructing spaces of quantum models from wave functions
• Turning Statistical Physics Models Into Materials Design Engines
• Machine learning-assisted design of material properties
• Inverse Design for Self Assembly via On-the-Fly Optimization
• Probabilistic inverse design for self assembling materials
• Designing convex repulsive pair potentials that favor assembly of kagome and snub square lattices
• Equilibrium cluster fluids: Pair interactions via inverse design
• Inverse Design of Multicomponent Assemblies
• Interactions and design rules for assembly of porous colloidal mesophases
• Dimensionality and design of isotropic interactions that stabilize honeycomb, square, simple cubic, and diamond lattices
• Inverse Design of Simple Pair Potentials for the Self-Assembly of Complex Structures
• Inverse design of charged colloidal particle interactions for self assembly into specified crystal structures
• Assembly of particle strings via isotropic potentials
• Designing Pairwise Interactions that Stabilize Open Crystals: Truncated Square and Truncated Hexagonal Lattices
• Inverse design of disordered stealthy hyperuniform spin chains
• Soft matter crystallography -- complex, diverse, and new crystal structures in condensed materials on the mesoscale
• Breadth versus depth: Interactions that stabilize particle assemblies to changes in density or temperature
• Complete mathematical theory of the jamming transition: A perspective
• Design of two-dimensional particle assemblies using isotropic pair interactions with an attractive well
• Recurrent Localization Networks applied to the Lippmann-Schwinger Equation
• The Role of Pressure in Inverse Design for Assembly
• Fragility and thermal expansion control crystal melting and the glass transition
• BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks
• Bayesian Modelling of Pattern Formation from One Snapshot of Pattern
• Predicting the structure of fluids with piecewise constant interactions: Comparing the accuracy of five efficient integral equation theories
• Consequences of minimizing pair correlations in fluids for dynamics, thermodynamics, and structure
• relentless: Transparent, reproducible molecular dynamics simulations for optimization