[bioundgrd] Fwd: Society for Industrial and Applied Mathematics (SIAM) Seminar, Wednesday (11/28) 4:30-5:30 PM, 2-105

[Janice Chang]

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From: MIT SIAM <siam-exec at mit.edu<mailto:siam-exec at mit.edu>>
Subject: SIAM Seminar, Wednesday (11/28) 4:30-5:30 PM, 2-105
Date: November 26, 2018 at 2:06:27 PM EST
Could you please help us in advertising this?

Thanks,
MIT SIAM
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Join us for SIAM student seminars this week! We will be having two short talks.



  *   Date: Wednesday, Nov 28, 4:30 PM - 5:30 PM
  *   Location: 2-105
  *   Refreshments provided

Ali Ramadhan, Graduate student, EAPS (Climate Science)

Title: Reducing the error bars on climate predictions
Abstract: Starting with the first computational weather forecasts, a ridiculously crazy idea a hundred years ago, we'll see how modern climate models work and why uncertainties in climate predictions are so high despite their sophistication. Then I'll talk about how we're trying to reduce uncertainties in climate predictions by developing a new climate model in Julia that runs on massively parallel GPU accelerators and learns from observations and high-resolution simulations.

Sam Raymond, Graduate student, Civil and Environmental Engineering

Title: Teaching a Neural Network Physics to help us design complex devices.
Abstract: Machine learning structures like neural networks are especially good at finding complex transfer functions to connect various inputs and outputs. This can be extended to creating connections that we as scientists struggle to envision. With enough good data, a network can learn complex physics and be used to invert equations to infer the initial or boundary conditions for a system. This work presents an application of this methodology that leverages numerically simulated, synthetic, data to enable the design of custom microfluidic devices.

About MIT SIAM
The MIT SIAM (Society for Industrial and Applied Mathematics) student chapter is devoted to cross-pollinating ideas in applied mathematics and computational engineering between students and researchers at MIT that wouldn’t otherwise collaborate.



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