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add hybrid-sim & sim intelig papers
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paper_6.html

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<meta name="citation_author" content="Sanjay Choudry" />
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<meta name="citation_author" content="Kamil Rocki" />
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<meta name="citation_author" content="Atılım Güneş Baydin" />
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<meta name="citation_author" content="Carina Prunkl" />
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<meta name="citation_author" content="Brooks Paige" />
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<meta name="citation_author" content="Olexandr Isayev" />
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<meta name="citation_author" content="Erik Peterson" />
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<meta name="citation_author" content="Peter L. McMahon" />
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<meta name="citation_author" content="Jakob Macke" />
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<meta name="citation_author" content="Kyle Cranmer" />
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<meta name="citation_author" content="Jiaxin Zhang" />
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<meta name="citation_author" content="Haruko Wainwright" />
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<meta name="citation_author" content="Adi Hanuka" />
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<meta name="citation_author" content="Manuela Veloso" />
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<meta name="citation_author" content="Samuel Assefa" />
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<meta name="citation_author" content="Stephan Zheng" />
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<meta name="citation_author" content="Avi Pfeffer" />
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<meta name="citation_author" content="others" />
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<meta name="citation_abstract" content="The original Seven Motifs set forth a roadmap of essential methods for the field of scientific computing, where a motif is an algorithmic method that captures a pattern of computation and data movement. We present the Nine Motifs of Simulation Intelligence, a roadmap for the development and integration of the essential algorithms necessary for a merger of scientific computing, scientific simulation, and artificial intelligence. We call this merger simulation intelligence (SI), for short. We argue the motifs of simulation intelligence are interconnected and interdependent, much like the components within the layers of an operating system. Using this metaphor, we explore the nature of each layer of the simulation intelligence operating system stack (SI-stack) and the motifs therein: (1) Multi-physics and multi-scale modeling; (2) Surrogate modeling and emulation; (3) Simulation-based inference; (4) Causal modeling and inference; (5) Agent-based modeling; (6) Probabilistic programming; (7) Differentiable programming; (8) Open-ended optimization; (9) Machine programming. We believe coordinated efforts between motifs offers immense opportunity to accelerate scientific discovery, from solving inverse problems in synthetic biology and climate science, to directing nuclear energy experiments and predicting emergent behavior in socioeconomic settings. We elaborate on each layer of the SI-stack, detailing the state-of-art methods, presenting examples to highlight challenges and opportunities, and advocating for specific ways to advance the motifs and the synergies from their combinations. Advancing and integrating these technologies can enable a robust and efficient hypothesis-simulation-analysis type of scientific method, which we introduce with several use-cases for human-machine teaming and automated science." />
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data-tippy-content="See all papers authored by Sanjay Choudry"
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class="text-muted filterByAuthorLink">Sanjay Choudry</a>,
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<a href="papers.html?author=Kamil Rocki" target="_blank"
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data-tippy-content="See all papers authored by Kamil Rocki"
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class="text-muted filterByAuthorLink">Kamil Rocki</a>,
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<a href="papers.html?author=Atılım Güneş Baydin" target="_blank"
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data-tippy-content="See all papers authored by Atılım Güneş Baydin"
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class="text-muted filterByAuthorLink">Atılım Güneş Baydin</a>,
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<a href="papers.html?author=Carina Prunkl" target="_blank"
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data-tippy-content="See all papers authored by Carina Prunkl"
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class="text-muted filterByAuthorLink">Carina Prunkl</a>,
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<a href="papers.html?author=Brooks Paige" target="_blank"
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data-tippy-content="See all papers authored by Brooks Paige"
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class="text-muted filterByAuthorLink">Brooks Paige</a>,
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<a href="papers.html?author=Olexandr Isayev" target="_blank"
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data-tippy-content="See all papers authored by Olexandr Isayev"
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class="text-muted filterByAuthorLink">Olexandr Isayev</a>,
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<a href="papers.html?author=Erik Peterson" target="_blank"
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data-tippy-content="See all papers authored by Erik Peterson"
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class="text-muted filterByAuthorLink">Erik Peterson</a>,
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<a href="papers.html?author=Peter L. McMahon" target="_blank"
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data-tippy-content="See all papers authored by Peter L. McMahon"
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class="text-muted filterByAuthorLink">Peter L. McMahon</a>,
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<a href="papers.html?author=Jakob Macke" target="_blank"
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data-tippy-content="See all papers authored by Jakob Macke"
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class="text-muted filterByAuthorLink">Jakob Macke</a>,
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<a href="papers.html?author=Kyle Cranmer" target="_blank"
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class="text-muted filterByAuthorLink">Kyle Cranmer</a>,
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<a href="papers.html?author=Jiaxin Zhang" target="_blank"
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class="text-muted filterByAuthorLink">Jiaxin Zhang</a>,
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<a href="papers.html?author=Haruko Wainwright" target="_blank"
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class="text-muted filterByAuthorLink">Haruko Wainwright</a>,
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<a href="papers.html?author=Adi Hanuka" target="_blank"
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data-tippy-content="See all papers authored by Adi Hanuka"
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class="text-muted filterByAuthorLink">Adi Hanuka</a>,
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<a href="papers.html?author=Manuela Veloso" target="_blank"
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<a href="papers.html?author=Samuel Assefa" target="_blank"
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<a href="papers.html?author=Stephan Zheng" target="_blank"
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<a href="papers.html?author=Avi Pfeffer" target="_blank"
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<a href="papers.html?author=others" target="_blank"
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class="text-muted filterByAuthorLink">others</a>
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