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Andrew C. Daly et al.
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Morteza Sarmadi et al.
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Frank Scheffold
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Chenxi Zhai et al.
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Jiali Li et al.
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Ribana Roscher et al.
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Massimiliano M. Villone et al.
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Philipp Probst et al.
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Turab Lookman et al.
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Jake P. Newsom et al.
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Raymundo Arroyave et al.
ANNUAL REVIEW OF MATERIALS RESEARCH, VOL 49 (2019)
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Juan J. de Pablo et al.
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Relationship between rheology and structure of interpenetrating, deforming and compressing microgels
Gaurasundar M. Conley et al.
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Embedding domain knowledge for machine learning of complex material systems
Christopher M. Childs et al.
MRS COMMUNICATIONS (2019)
Microporous annealed particle hydrogel stiffness, void space size, and adhesion properties impact cell proliferation, cell spreading, and gene transfer
Norman F. Truong et al.
ACTA BIOMATERIALIA (2019)
Setting the standards for machine learning in biology
David T. Jones
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Injectable and Conductive Granular Hydrogels for 3D Printing and Electroactive Tissue Support
Mikyung Shin et al.
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Lauri Himanen et al.
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Biomanufacturing of organ-specific tissues with high cellular density and embedded vascular channels
Mark A. Skylar-Scott et al.
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Recent advances and applications of machine learning in solid-state materials science
Jonathan Schmidt et al.
NPJ COMPUTATIONAL MATERIALS (2019)
Machine learning algorithm validation with a limited sample size
Andrius Vabalas et al.
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Jammed Microgel Inks for 3D Printing Applications
Christopher B. Highley et al.
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James S. Peerless et al.
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Clickable PEG hydrogel microspheres as building blocks for 3D bioprinting
Shangjing Xin et al.
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Viscoplastic Matrix Materials for Embedded 3D Printing
Abigail K. Grosskopf et al.
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Joshua E. Mealy et al.
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Mesoscopic modelling and simulation of soft matter
Ulf D. Schiller et al.
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Ensemble learning: A survey
Omer Sagi et al.
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The Mythos of Model Interpretability
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COMMUNICATIONS OF THE ACM (2018)
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The influence of solution viscosities and surface tension on calcium-alginate microbead formation using dripping technique
Fatma Davarci et al.
FOOD HYDROCOLLOIDS (2017)
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Farhang Radjai et al.
JOURNAL OF ENGINEERING MECHANICS (2017)
Modeling Granular Materials: Century-Long Research across Scales
Farhang Radjai et al.
JOURNAL OF ENGINEERING MECHANICS (2017)
The need to approximate the use-case in clinical machine learning
Sohrab Saeb et al.
GIGASCIENCE (2017)
Jamming and overpacking fuzzy microgels: Deformation, interpenetration, and compression
Gaurasundar M. Conley et al.
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Yue Liu et al.
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Lina R. Nih et al.
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David R. Roberts et al.
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Elucidating multi-physics interactions in suspensions for the design of polymeric dispersants: a hierarchical machine learning approach
Aditya Menon et al.
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Designing biopolymer microgels to encapsulate, protect and deliver bioactive components: Physicochemical aspects
David Julian McClements
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On different ways of measuring the yield stress
Maureen Dinkgreve et al.
JOURNAL OF NON-NEWTONIAN FLUID MECHANICS (2016)
Machine-learning-assisted materials discovery using failed experiments
Paul Raccuglia et al.
NATURE (2016)
The glass and jamming transitions of soft polyelectrolyte microgel suspensions
Charlotte Pellet et al.
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Ankit Agrawal et al.
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Direct 3D Printing of Shear-Thinning Hydrogels into Self-Healing Hydrogels
Christopher B. Highley et al.
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Accelerated wound healing by injectable microporous gel scaffolds assembled from annealed building blocks
Donald R. Griffin et al.
NATURE MATERIALS (2015)
Impact of Single-Particle Compressibility on the Fluid-Solid Phase Transition for Ionic Microgel Suspensions
M. Pelaez-Fernandez et al.
PHYSICAL REVIEW LETTERS (2015)
Writing in the granular gel medium
Tapomoy Bhattacharjee et al.
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Three-dimensional printing of complex biological structures by freeform reversible embedding of suspended hydrogels
Thomas J. Hinton et al.
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Batch Effect Confounding Leads to Strong Bias in Performance Estimates Obtained by Cross-Validation
Charlotte Soneson et al.
PLOS ONE (2014)
Gradient boosting machines, a tutorial
Alexey Natekin et al.
FRONTIERS IN NEUROROBOTICS (2013)
Alginate: Properties and biomedical applications
Kuen Yong Lee et al.
PROGRESS IN POLYMER SCIENCE (2012)
Does size matter? Elasticity of compressed suspensions of colloidal- and granular-scale microgels
Paul Menut et al.
SOFT MATTER (2012)
Injectability Evaluation: An Open Issue
Francesco Cilurzo et al.
AAPS PHARMSCITECH (2011)
Jamming of soft particles: geometry, mechanics, scaling and isostaticity
M. van Hecke
JOURNAL OF PHYSICS-CONDENSED MATTER (2010)
Maintaining dimensions and mechanical properties of ionically crosslinked alginate hydrogel scaffolds in vitro
Catherine K. Kuo et al.
JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A (2008)
A phase diagram for jammed matter
Chaoming Song et al.
NATURE (2008)
Rheology of gelling and yielding soft matter systems
Jason R. Stokes et al.
SOFT MATTER (2008)
Influence of particle modulus on the rheological properties of agar microgel suspensions
S Adams et al.
JOURNAL OF RHEOLOGY (2004)
Structure and flow of polyelectrolyte microgels: from suspensions to glasses
M Cloitre et al.
COMPTES RENDUS PHYSIQUE (2003)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)