Matthew West

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University of Illinois at Urbana-Champaign

United States

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Matthew West is a Professor at the University of Illinois at Urbana-Champaign, USA. His research focuses on heterogeneous compute architectures, aerosol mixing state, and particle-based aerosol-cloud microphysics, as demonstrated in his recent articles. He has also contributed to developments in regional-scale particle-resolved atmospheric modeling and multiscale algebraic techniques. In addition, he is involved in creating robust computational frameworks for aerosol simulation.

Recent Grants

Grant: Close

Exploring Second-Chance Testing as a Practical Form of Mastery Learning

Open Date: 2019-10-01

Close Date: 2022-09-30

Grant: Close

Collaborative Research: Evolution and Impact of Aerosol Phase and Morphology

Open Date: 2019-07-01

Close Date: 2022-06-30

Grant: Close

Multiscale Aerosol Modeling Across Space and Composition

Open Date: 2018-09-01

Close Date: 2021-08-31

Grant: Close

Quantifying and accounting for the importance of aeroasol mixing state

Open Date: 2014-06-15

Close Date: 2017-06-14

Grant: Close

Scaling cultures of collaboration: Evidence-based reform in portal STEM courses

Open Date: 2014-01-01

Close Date: 2016-12-31

Articles (15)

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2025

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2022

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2022

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2021

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2021

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2020

Collaborators (4)

Zhonghua Zheng

Assistant Professor in Data Science & Environmental Analytics

The University of Manchester

UNITED KINGDOM

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Scott MacLachlan

Memorial University of Newfoundland

CANADA

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Qing Ye

University Corporation for Atmospheric Research

UNITED STATES

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Sylwester Arabas

AGH University of Science and Technology

POLAND

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Matthew West

Research Interests

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Recent Grants

Articles (15)

Immersion freezing in particle‐based aerosol‐cloud microphysics: a probabilistic perspective on singular and time‐dependent models

Teaching an old dog new tricks: Porting legacy code to heterogeneous compute architectures with automated code translation

The impacts of aerosol mixing state on heterogeneous N 2 O 5 hydrolysis

Generalizing Lloyd’s Algorithm for Graph Clustering

Generalizing reduction‐based algebraic multigrid

PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework

Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0)

The state of the aerosol: Musings on mixing state

Coarse-grid selection using simulated annealing

Learning Coagulation Processes With Combinatorial Neural Networks

Reevaluating the relationship between explaining, tracing, and writing skills in CS1 in a replication study

Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model

Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model

Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling

Quantifying errors in the aerosol mixing-state index based on limited particle sample size

Collaborators (4)

Zhonghua Zheng

Scott MacLachlan

Qing Ye

Sylwester Arabas

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