Accelerated Science: Difference between revisions
→Background Readings
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* '''"Machine learning for molecular and materials science" (2018)'''<ref>{{Cite journal|last=Butler|first=Keith T.|last2=Davies|first2=Daniel W.|last3=Cartwright|first3=Hugh|last4=Isayev|first4=Olexandr|last5=Walsh|first5=Aron|date=2018-07|title=Machine learning for molecular and materials science|url=http://dx.doi.org/10.1038/s41586-018-0337-2|journal=Nature|volume=559|issue=7715|pages=547–555|doi=10.1038/s41586-018-0337-2|issn=0028-0836}}</ref>: A summary of "recent progress in machine learning for the chemical sciences" and proposed future directions for machine learning's use in the "design, synthesis, characterization and application of molecules and materials."
* '''"Materials discovery and design using machine learning" (2017)'''<ref>{{Cite journal|last=Slightam|first=Jonathon|last2=Nagurka|first2=Mark|title=Machine Design Experiments Using Gears to Foster Discovery Learning|url=http://dx.doi.org/10.18260/p.24438|journal=2015 ASEE Annual Conference and Exposition Proceedings|publisher=ASEE Conferences|doi=10.18260/p.24438}}</ref>: A review of machine learning for materials science.
* '''"Paving the wall for Low-Carbon Concrete"''' (2020)<ref>Talati, Shuchi; Merchant, Na'im; Neidl, Chris. (2020-12). [https://static1.squarespace.com/static/5b9362d89d5abb8c51d474f8/t/5fd95907de113c3cc0f144af/1608079634052/Paving+the+Way+for+Low-Carbon+Concrete "Paving the Way for Low Carbon Concrete]". Carbon180 white paper.</ref>: A white paper on how cement contributes to carbon emissions and what can be done about it.
==Online Courses and Course Materials==
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