Machine learning for composite materials

Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation

(2019) Arindam Paul et al.   COMPUTATIONAL MATERIALS SCIENCE

Materials by Design for Stiff and Tough Hairy Nanoparticle Assemblies

(2018) Nitin K. Hansoge et al.   ACS Nano

Mechanically Robust, Ultraelastic Hierarchical Foam with Tunable Properties via 3D Printing

(2018) Qiyi Chen et al.   ADVANCED FUNCTIONAL MATERIALS

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

(2018) Zijiang Yang et al.   COMPUTATIONAL MATERIALS SCIENCE

A beam formulation based on RKPM for the dynamic analysis of stiffened shell structures

(2018) Y. X. Peng et al.   COMPUTATIONAL MECHANICS

Variationally derived discontinuity capturing methods: Fine scale models with embedded weak and strong discontinuities

(2018) Arif Masud et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill

(2018) Chongchong Qi et al.   CONSTRUCTION AND BUILDING MATERIALS

Structure prediction of boron-doped graphene by machine learning

(2018) Thaer M. Dieb et al.   JOURNAL OF CHEMICAL PHYSICS

Materials-by-design: computation, synthesis, and characterization from atoms to structures

(2018) Jingjie Yeo et al.   PHYSICA SCRIPTA

Design and Realization of 3D Printed AFM Probes

(2018) Nourin Alsharif et al.   Small

Machine learning–enabled identification of material phase transitions based on experimental data: Exploring collective dynamics in ferroelectric relaxors

(2018) Linglong Li et al.   Science Advances

Nanophotonic particle simulation and inverse design using artificial neural networks

(2018) John Peurifoy et al.   Science Advances

Tunable mechanical properties through texture control of polycrystalline additively manufactured materials using adjoint-based gradient optimization

(2018) Grace X. Gu et al.   ACTA MECHANICA

Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods

(2018) Benjamin A. Young et al.   CEMENT AND CONCRETE RESEARCH

Phase field modeling of crack propagation under combined shear and tensile loading with hybrid formulation

(2018) Heeyeong Jeong et al.   COMPUTATIONAL MATERIALS SCIENCE

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment

(2018) Grace X. Gu et al.   Materials Horizons

Decoupling Mesoscale Functional Response in PLZT across the Ferroelectric–Relaxor Phase Transition with Contact Kelvin Probe Force Microscopy and Machine Learning

(2018) Sabine M. Neumayer et al.   ACS Applied Materials & Interfaces

A hybrid finite element‐spectral boundary integral approach: Applications to dynamic rupture modeling in unbounded domains

(2018) Xiao Ma et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Accelerated Search and Design of Stretchable Graphene Kirigami Using Machine Learning

(2018) Paul Z. Hanakata et al.   PHYSICAL REVIEW LETTERS

Stiffness-Independent Toughening of Beams through Coaxial Interfaces

(2018) Jochen Mueller et al.   Advanced Science

Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches

(2018) Zijiang Yang et al.   ACTA MATERIALIA

Edge stabilization and consistent tying of constituents at Neumann boundaries in multi-constituent mixture models

(2017) Harishanker Gajendran et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Deep learning for computational chemistry

(2017) Garrett B. Goh et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Printing nature: Unraveling the role of nacre's mineral bridges

(2017) Grace X. Gu et al.   Journal of the Mechanical Behavior of Biomedical Materials

3D Printing of Polymer Nanocomposites via Stereolithography

(2017) Jill Z. Manapat et al.   MACROMOLECULAR MATERIALS AND ENGINEERING

Polydopamine and eumelanin molecular structures investigated with ab initio calculations

(2017) Chun-Teh Chen et al.   Chemical Science

Ultrathin thermoresponsive self-folding 3D graphene

(2017) Weinan Xu et al.   Science Advances

Machine learning in materials informatics: recent applications and prospects

(2017) Rampi Ramprasad et al.   npj Computational Materials

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete

(2017) Faezehossadat Khademi et al.   Frontiers of Structural and Civil Engineering

Bone-Inspired Materials by Design: Toughness Amplification Observed Using 3D Printing and Testing 

(2016) Flavia Libonati et al.   ADVANCED ENGINEERING MATERIALS

High-Throughput Computational Screening of Perovskites for Thermochemical Water Splitting Applications

(2016) Antoine A. Emery et al.   CHEMISTRY OF MATERIALS

Three-Dimensional-Printing of Bio-Inspired Composites

(2016) Grace X. Gu et al.   JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME

Microstructure and mechanical property considerations in additive manufacturing of aluminum alloys

(2016) Y. Ding et al.   MRS BULLETIN

A general-purpose machine learning framework for predicting properties of inorganic materials

(2016) Logan Ward et al.   npj Computational Materials

Machine Learning Strategy for Accelerated Design of Polymer Dielectrics

(2016) Arun Mannodi-Kanakkithodi et al.   Scientific Reports

A Statistical Learning Framework for Materials Science: Application to Elastic Moduli of k-nary Inorganic Polycrystalline Compounds

(2016) Maarten de Jong et al.   Scientific Reports

Machine-learning approaches in drug discovery: methods and applications

(2015) Antonio Lavecchia   DRUG DISCOVERY TODAY

Crystal structure representations for machine learning models of formation energies

(2015) Felix Faber et al.   INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY

Bridging topology optimization and additive manufacturing

(2015) Tomás Zegard et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability

(2015) Si Chen et al.   SIAM-ASA Journal on Uncertainty Quantification

3D-Printing of Lightweight Cellular Composites

(2014) Brett G. Compton et al.   ADVANCED MATERIALS

An artificial neural network model for predicting compression strength of heat treated woods and comparison with a multiple linear regression model

(2014) Sebahattin Tiryaki et al.   CONSTRUCTION AND BUILDING MATERIALS

Adaptive machine learning framework to accelerateab initiomolecular dynamics

(2014) Venkatesh Botu et al.   INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY

Multiple-Material Topology Optimization of Compliant Mechanisms Created Via PolyJet Three-Dimensional Printing

(2014) Andrew T. Gaynor et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Additive Manufacturing: Current State, Future Potential, Gaps and Needs, and Recommendations

(2014) Yong Huang et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

How to represent crystal structures for machine learning: Towards fast prediction of electronic properties

(2014) K. T. Schütt et al.   PHYSICAL REVIEW B

Combinatorial screening for new materials in unconstrained composition space with machine learning

(2014) B. Meredig et al.   PHYSICAL REVIEW B

High-strength cellular ceramic composites with 3D microarchitecture

(2014) J. Bauer et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Biological and Bioinspired Composites with Spatially Tunable Heterogeneous Architectures

(2013) André R. Studart   ADVANCED FUNCTIONAL MATERIALS

Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies

(2013) Katja Hansen et al.   Journal of Chemical Theory and Computation

Atomistic understanding of diffusion kinetics in nanocrystals from molecular dynamics simulations

(2013) Yun-Jiang Wang et al.   PHYSICAL REVIEW B

Hierarchical Fibers with a Negative Poisson’s Ratio for Tougher Composites

(2013) Yongtao Sun et al.   Materials

Accelerating materials property predictions using machine learning

(2013) Ghanshyam Pilania et al.   Scientific Reports

Biological materials: Functional adaptations and bioinspired designs

(2012) Po-Yu Chen et al.   PROGRESS IN MATERIALS SCIENCE

Layered nanocomposites inspired by the structure and mechanical properties of nacre

(2011) Jianfeng Wang et al.   CHEMICAL SOCIETY REVIEWS

Artful interfaces within biological materials

(2011) John W.C. Dunlop et al.   Materials Today

Additive manufacturing of tissues and organs

(2011) Ferry P.W. Melchels et al.   PROGRESS IN POLYMER SCIENCE

Biological Composites

(2010) John W.C. Dunlop et al.   Annual Review of Materials Research

Cohesive zone simulations of crack growth along a rough interface between two elastic–plastic solids

(2007) Pablo D. Zavattieri et al.   ENGINEERING FRACTURE MECHANICS