365x Filetype PPTX File size 2.06 MB Source: optimallearning.princeton.edu
Materials design and optimization
A major goal of the
Materials Genome
Initiative and
“Materials-by-
Design” is the
acceleration of
materials property
optimization.
2
Learning properties of a material
Another important problem
is to learn the underlying Kinetic pathways of controlled release
physics of a new material or
system
Materials specific physical
parameters
Dominant processes during
fabrication or reactions to Compositional Ripening
external stimuli.
Optimization and learning Coalescence with external phase
are two sides to the same Adsorption
coin. In order to do either,
we need to perform
experiments to obtain Flocculation
Coalescence Droplet-droplet coalescence
measurements that tell us
information about the
system.
Robot Scientist
Autonomy in basic
scientific exploration.
How can a robot decide
on the next experiment
to run, given some
objective?
“Adam,” R. King et al. Aberystwyth University
Common theme
What experiments to run?
What are we learning?
How do we consider our ultimate
objective when answering these
questions?
How do we deal with uncertainty?
Compositional Ripening
Coalescence with external phase
Adsorption
Flocculation
Coalescence Droplet-droplet coalescence
Experiments are expensive and uncertain
Experiments are expensive:
Release profile for HRP in 1 mg/ml BSA external and internal (5% PLGA)
A single experiment can take 100 % released
% released 24 hours later
% released 48 hours later
a day to as long as a month % released 72 hours later
75 % released 96 hours later
of laboratory time.
d
e
s
a
Experiments are noisy: e
l
e
r50
P
R
repeated observations can H
%
produce different outcomes.
25
Experimental decisions are
complex 0
0 25 50 75 100
E.g. select from among Time (hours)
hundreds of catalysts, while
simultaneously tuning Double emulsion Vortex Speeds
temperatures, pressures and fabrication:
concentrations. PLGA
Set of experiments can become Water Water
combinatorially large. &
Solve
HRP, BSA, Volume nt BSA, Volume
PLGA, Volume
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