mitmath / 18337projects

List of Student Projects for 18.337j

Home Page:https://mitmath.github.io/18337projects/

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18.337J/6.338J: Parallel Computing and Scientific Machine Learning

Spring 2023 Projects

TEAM PROJECT TITLE PROJECT PRESENTATION PROJECT REPORT CODE
Alexander Wang ExtendRandomVariables.jl - report code
Alexander Mercier IN SILICO RNA APTAMER DESIGN presentation report code
Allen Wang Solving the Grad-Shafranov Equation with NeuralPDE.jl - report -
Amin Heyrani Nobari FAST PLANAR LINKAGE MECHANISM SOLVER AND AUTOMATIC DIFFERENTIATION FOR GRADIENT-BASED OPTIMIZATION AND PATH SYNTHSIS - report code
Amy Phung GPU Particle Filter Implementation and Performance Analysis - report code
Andreas P. Mentzelopoulos Learning vortex induced vibrations from riser field experimental strain data - report code
Axel Feldmann GPU Accelerated Hierarchical Semiseparable (HSS) Matrix Multiplication in Julia - report code
Binwei Yan Digitally Configurable Analog Computation Architecture for Parallel Computing presentation report -
Bowen Zhu, Linglai Chen Parallelization of Linear Tridiagonal System: A Cyclic Reduction Approach presentation report code
Bryan Pyo, Jung Soo Chu PMAPREDUCE: A CONFIGURABLE AND INTUITIVE TOOL FOR PARALLELIZING REDUCE IN MAPREDUCE - report code
Chenyue Lu Pancreatic Cancer Gene Differential Expression Based on Cancer Density in A Large Spatial Transcriptomics Dataset - PRIVATE PRIVATE
Dariyan Khan Accelerating the training of Neural Network Interatomic Potentials on a GPU using Julia - report code
Devang Sehgal, Anurag Vaidya A High Performance Julia Implementation of Shapely Effects for Global Sensitivity Analysis presentation report code
Difei Zhang PARALLELIZATION OF WOLFF ALGORITHM FOR LARGE-SCALE HIGH-DIMENSIONAL ISING MODEL presentation report code
Eric M. Stewart Physics-informed neural networks (PINNs) versus finite elements for solving PDEs in continuum mechanics of solids presentation report code
Hao-Wei Pang SPEED IMPROVEMENTS AND NEW FEATURES FOR REACTIONMECHANISMSIMULATOR.jl - PRIVATE PRIVATE
Harvey Merton Universal Differential Equations for Cable Tension Modelling in a Multi-Quadrotor Slung Load System - report code
Jackson Warner Burns XTBTSScreener.jl - Saving CPU Cycles with Julia and Machine Learning presentation report code
Jonathan Edelman Parallelized Kolter Mixing presentation report -
Kerri Lu AUGMENTED NEURAL ODES presentation report code
Kota Kondo Perception-Aware Multiagent Trajectory Planner Using Imitation Learning presentation report code
Luca Weishaupt, Andrew Zhang PHYSICS-INFORMED DEEP Q-LEARNING FOR N -BODY SIMULATIONS - report code
Marc Davis Better Nested Parallel Maps in Python with YieldTasks presentation report code
Minsik Cho Composable Function Transformations for Machine Learning in the Julia Programming Language - report -
Marcel Rod Feasibility Study of Graph Neural Networks with Atomic Cluster Expansion presentation report code
Nathan Stover, Krystian Ganko, Richard D. Braatz Improving System Identification of Reacting Chemical Networks using Neural Stochastic Differential Equations PRIVATE PRIVATE PRIVATE
Nicholas Klugman NeuralLyapunov.jl: A Library for Learning Neural Lyapunov Functions PRIVATE PRIVATE PRIVATE
Oliver Xie Inverse Self-Assembled Nanostructure PRIVATE PRIVATE PRIVATE
Payal Chandak, Karim Kadry ANGIOGRAPHNET: REAL-TIME PREDICTION OF VESSEL EXPANSION IN CORONARY ANGIOPLASTY USING GEOMETRIC DEEP LEARNING - report -
Raymond Lin Parallel Computation Of Signed Distance Fields In 2D Pixel Images - report code
Riley Martell FASTER SUBPIXEL REGISTRATION FOR FORWARD LOOKING SONAR RECONSTRUCTION - report code
Rodrigo Arrieta AN IMPLEMENTATION OF NEURAL ORDINARY DIFFERENTIAL EQUATIONS presentation report code
Samuel Degnan-Morgenstern High Performance Simulations Of Phase-Separating Electrode Particles In Custom Geometries presentation report code
Shijie Zhang HIGH PERFORMANCE NEURAL JUMP STOCHASTIC DIFFERENTIAL EQUATIONS - report code
Sydney Jenkins HIGH-PERFORMANCE EXOPLANET TRANSIT FITTING - report code
Thomas Nok Hin Cheng, Davy Deng, Martin Strazar Towards uncertainty quantification in high-throughput biology presentation report code
Ulrik Unneberg, Henrik Tidemann Kaarbo Implementation of Lagrangian Neural Networks in Julia - report code
Utkarsh, Prakitr Srisuma Device Agnostic GPU Parallelization of Stiff Ordinary Differential Equations - report code
Vincent Fan , Luka Govedic , Lucas Shoji , Alex Velberg JULIATO: A JULIA-BASED PLASMA PHYSICS CODE WITH SERIAL OPTIMIZATIONS presentation report code
Vineet Jagadeesan Nair Physics-informed ML for power grids - report code
William J. Wakefield Performant Text Classification with Naive Bayes for the Kaqchikel Mayan Language - report -
Yadira Gaibor Global Sensitivity Analysis and Parallelizing Common Envelope Evolution Model of Stellar Binary Systems PRIVATE PRIVATE PRIVATE
Yassine El Janati Elidrissi, Georgios Efstathiadis PINN-BASED SDE SOLVER - report code
Zachary Deng HIGH-PERFORMANCE PARALLEL REGULAR EXPRESSION MATCHING IN JULIA presentation report code
Zeyad Al Awwad GPU RAY TRACING AND PLANETARY RADIATIVE TRANSFER presentation report code
Zhang Wu High-Performance PDE Solver with ParallelStencil.jl in Julia - report code

Fields marked PRIVATE are being temporarily held off till publication.

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List of Student Projects for 18.337j

https://mitmath.github.io/18337projects/