Networks and interfaces as catalysts for polymer materials innovation

The materials tetrahedron has a “digital twin”

(2022) Michael E. Deagen et al.   MRS BULLETIN

Augmented Reality, a Review of a Way to Represent and Manipulate 3D Chemical Structures

(2022) Alba Fombona-Pascual et al.   Journal of Chemical Information and Modeling

FAIR data enabling new horizons for materials research

(2022) Matthias Scheffler et al.   NATURE

Data-Driven Design and Autonomous Experimentation in Soft and Biological Materials Engineering

(2022) Andrew L. Ferguson et al.   Annual Review of Chemical and Biomolecular Engineering

Toward autonomous materials research: Recent progress and future challenges

(2022) Joseph H. Montoya et al.   Applied Physics Reviews

On-the-fly autonomous control of neutron diffraction via physics-informed Bayesian active learning

(2022) Austin McDannald et al.   Applied Physics Reviews

Data-Driven Strategies for Accelerated Materials Design

(2021) Robert Pollice et al.   ACCOUNTS OF CHEMICAL RESEARCH

PolyDAT: A Generic Data Schema for Polymer Characterization

(2021) Tzyy-Shyang Lin et al.   Journal of Chemical Information and Modeling

A Survey on Bias and Fairness in Machine Learning

(2021) Ninareh Mehrabi et al.   ACM COMPUTING SURVEYS

Flexible automation accelerates materials discovery

(2021) Benjamin P. MacLeod et al.   NATURE MATERIALS

Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy

(2020) Ben Shneiderman   INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION

Chemical recycling to monomer for an ideal, circular polymer economy

(2020) Geoffrey W. Coates et al.   Nature Reviews Materials

A Bayesian experimental autonomous researcher for mechanical design

(2020) Aldair E. Gongora et al.   Science Advances

Self-driving laboratory for accelerated discovery of thin-film materials

(2020) B. P. MacLeod et al.   Science Advances

Plastics in the US: toward a material flow characterization of production, markets and end of life

(2020) Martin C Heller et al.   Environmental Research Letters

On-the-fly closed-loop materials discovery via Bayesian active learning

(2020) A. Gilad Kusne et al.   Nature Communications

Polymer informatics: Current status and critical next steps

(2020) Lihua Chen et al.   MATERIALS SCIENCE & ENGINEERING R-REPORTS

Intuition-enabled Machine Learning beats the Competition when Joint Human-Robot Teams per-form Inorganic Chemical Experiments

(2019) Vasilios Duros et al.   Journal of Chemical Information and Modeling

New frontiers for the materials genome initiative

(2019) Juan J. de Pablo et al.   npj Computational Materials

Data‐Driven Materials Science: Status, Challenges, and Perspectives

(2019) Lauri Himanen et al.   Advanced Science

BigSMILES: A Structurally-Based Line Notation for Describing Macromolecules

(2019) Tzyy-Shyang Lin et al.   ACS Central Science

Autonomous discovery in the chemical sciences part I: Progress

(2019) Klavs F. Jensen et al.   ANGEWANDTE CHEMIE-INTERNATIONAL EDITION

The Materials Genome Initiative and artificial intelligence

(2018) James A. Warren   MRS BULLETIN

Accelerating the discovery of materials for clean energy in the era of smart automation

(2018) Daniel P. Tabor et al.   Nature Reviews Materials

Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments

(2018) Fang Ren et al.   Science Advances

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Conceptualizing the circular economy: An analysis of 114 definitions

(2017) Julian Kirchherr et al.   RESOURCES CONSERVATION AND RECYCLING

Mechanical and chemical recycling of solid plastic waste

(2017) Kim Ragaert et al.   WASTE MANAGEMENT

Polymer Informatics: Opportunities and Challenges

(2017) Debra J. Audus et al.   ACS Macro Letters

Production, use, and fate of all plastics ever made

(2017) Roland Geyer et al.   Science Advances

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

Autonomy in materials research: a case study in carbon nanotube growth

(2016) Pavel Nikolaev et al.   npj Computational Materials

Wanted: Collaborative intelligence

(2015) Susan L. Epstein   ARTIFICIAL INTELLIGENCE

Synthesis and application of epoxy resins: A review

(2015) Fan-Long Jin et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Efficient and Secure Transfer, Synchronization, and Sharing of Big Data

(2015) Kyle Chard et al.   IEEE Cloud Computing

Metcalfe's Law after 40 Years of Ethernet

(2013) Bob Metcalfe   COMPUTER

The high-throughput highway to computational materials design

(2013) Stefano Curtarolo et al.   NATURE MATERIALS