Menu

October 2023 Publications

October 2, 2023

Generalizable memory pruning? Kramers Weyl semimetals? Unsupervised graph learning? A selection of recent publications featuring research using the MGHPCC.

Conor B. Abraham et al (2023), Characterizing the transmembrane domains of ADAM10 and BACE1 and the impact of membrane composition, Biophysical Journal, doi: 10.1016/j.bpj.2023.08.025 

Sarika Aggarwal et al (2023), Severe flooding and cause-specific hospitalization in the United States, arXiv 2309.13142 [stats.AP] 

Anurag Ajay et l (2023), Compositional Foundation Models for Hierarchical Planning, arXiv: 2309.08587 [cs.LG] 

Bamidele Aroboto et al (2023), Universal and interpretable classification of atomistic structural transitions via unsupervised graph learning, Applied Physics Letters, doi: 10.1063/5.0156682 

Becker, Thomas (2023), Numerical Investigation of Hydro- and Morpho-Dynamic Effects of Artificial Reef Designs,  University of Rhode Island ProQuest Dissertations Publishing

Dimitris Bertsimos et al (2023), An interpretable AI model for recurrence prediction after surgery in gastrointestinal stromal tumour: an observational cohort study, eClinicalMedicine, doi: 10.1016/j.eclinm.2023.102200 

Cheng, Y. et al (2023), Anomalously darker land surfaces become wetter due to mesoscale circulations, Geophysical Research Letters, doi: 10.1029/2023GL104137 

Carlos M. Duque et al (2023), Limits of economy and fidelity for programmable assembly of size-controlled triply-periodic polyhedra, arXiv: 2309.04632 [cond-mat.soft]  

Joel Cutcher-Gershenfeld et al (2023), Professionalization of Research Computing and Data: An Expanded Agenda, PEARC ’23: Practice and Experience in Advanced Research Computing, July 2023, Pages 129–136, doi: 10.1145/3569951.3593610 

Aichelman, Hannah Elise (2023), Exploring Coral Symbiosis Under Climate Change Stress Across Spatial and Temporal Scales, Boston University ProQuest Dissertations Publishing 

A. Ashtari Esfahani et al (2023), Tritium Beta Spectrum Measurement and Neutrino Mass Limit from Cyclotron Radiation Emission Spectroscopy, Physical Review Letters, doi: 10.1103/PhysRevLett.131.102502 

Enrico Garaldi et al (2023), The thesan project: public data release of radiation-hydrodynamic simulations matching reionization-era JWST observations, arXiv: 2309.06475 [astro-ph.CO] https://arxiv.org/pdf/2309.06475.pdf 

Govertsen, Krissy Janelynn (2023), Measuring Heat Vulnerability With Models, Maps, and Workshops, Northeastern University ProQuest Dissertations Publishing

Henadhira Arachchige, Kalpa Harindra (2023), Optimization of Numerical Simulations of the Solar Wind From the Sun to 1 Au, University of Massachusetts Lowell ProQuest Dissertations Publishing  

Jackson, J.A. et al (2023), Scaling behaviour and control of nuclear wrinkling, Nature Physics, doi: 10.1038/s41567-023-02216-y 

Franklyn Kanyako et al (2023), Identifying low-carbon energy R&D portfolios that are robust when models and experts disagree, Joule, doi: 10.1016/j.joule.2023.08.014 

Liu, M., Gao, H. (2023), Role of subduction dynamics on the unevenly distributed volcanism at the Middle American subduction system, Sci Rep, doi: 10.1038/s41598-023-41740-y 

Zhuo Liu et al (2023), A Two-dimensional Numerical Study of Ion-Acoustic Turbulence, arXiv: 2309.05563 [ physics.plasm-ph]  

Hoang Nhan Luu et al (2023), Nested solitons in two-field fuzzy dark matter, arXiv: 2309.05694 [astro-ph.CO]  

Sougata Mardanya et al (2023), Unconventional superconducting pairing in a B20 Kramers Weyl semimetal, arXiv: 2309.05880 [cond-mat. supr-con]

Hao-Wei Pang et al (2023), Detailed Multiphase Chemical Kinetic Model for Polymer Fouling in a Distillation Column, Ind. Eng. Chem. Res., doi: 10.1021/acs.iecr.3c01461 

Mats Rynge et al (2023), ACCESS Pegasus: Bringing Workflows to the ACCESS Masses, In Practice and Experience in Advanced Research Computing (PEARC ’23), July 23–27, 2023, Portland, OR,
USA, ACM, New York, NY, USA, 3 pages, doi: 10.1145/3569951.3597590 

Anup Pradhan Sakhya et al (2023), Observation of multiple flat bands and topological Dirac states in a new titanium based slightly distorted kagome metal YbTi3Bi4, arXiv: 2309.01176 [cond-mat.mes-hall]  

Alexander E. Siemenn and Tonio Buonassisi (2023), Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning, arXiv: 2309.04510 [cs.LG]  

Sommer, A.J. et al (2023), A permutation-based approach using a rank-based statistic to identify sex differences in epigenetics, Sci Rep, doi: 10.1038/s41598-023-41360-6 

Wijethilake, N., et al (2023), DEEP-squared: deep learning powered De-scattering with Excitation Patterning, Light Sci Appl, doi: 10.1038/s41377-023-01248-6 

Jing-Yang You et al (2023), Topological chiral kagome lattice, arXiv: 2309.00217 [cond-mat.mtr-sci]  

Zhengyang Yang et al (2023), CO2RR-to-CO Enhanced by Self-Assembled Monolayer and Ag Catalytic Interface, J. Phys. Chem. C., doi: 10.1021/acs.jpcc.3c00352

Zheng, Pengyu (2023), Chromatic Time-Resolved Monitoring of Single Entities: From Nanoscale Transport Across Channels to DNA Sequencing, Northeastern University ProQuest Dissertations Publishing 

Do you have news about research using computing resources at the MGHPCC? If you have an interesting project that you want to tell people about or a paper you would like listed, contact 

Links

MGHPCC Publications

Research projects

Foldit
Dusty With a Chance of Star Formation
Checking the Medicine Cabinet to Interrupt COVID-19 at the Molecular Level
Not Too Hot, Not Too Cold But Still, Is It Just Right?​
Smashing Discoveries​
Microbiome Pattern Hunting
Modeling the Air we Breathe
Exploring Phytoplankton Diversity
The Computer Will See You Now
Computing the Toll of Trapped Diamondback Terrapins
Edging Towards a Greener Future
Physics-driven Drug Discovery
Modeling Plasma-Surface Interactions
Sensing Subduction Zones
Neural Networks & Earthquakes
Small Stars, Smaller Planets, Big Computing
Data Visualization using Climate Reanalyzer
Getting to Grips with Glassy Materials
Modeling Molecular Engines
Forest Mapping: When the Budworms come to Dinner
Exploring Thermoelectric Behavior at the Nanoscale
The Trickiness of Talking to Computers
A Genomic Take on Geobiology
From Grass to Gas
Teaching Computers to Identify Odors
From Games to Brains
The Trouble with Turbulence
A New Twist
A Little Bit of This… A Little Bit of That..
Looking Like an Alien!
Locking Up Computing
Modeling Supernovae
Sound Solution
Lessons in a Virtual Test Tube​
Crack Computing
Automated Real-time Medical Imaging Analysis
Towards a Smarter Greener Grid
Heading Off Head Blight
Organic Light-Harvesting Antennae
Art and AI
Excited by Photons
Tapping into an Ocean of Data
Computing Global Change
Star Power
Engineering the Human Microbiome
Computing Social Capital
Computers Diagnosing Disease
A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Wearable Health Technology
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute – Unlocking Intelligence
The Institute for Experiential AI
The Forensic Video Exploitation and Analysis (FOVEA) Tool Suite
The Center for Scientific Computing and Data Science Research (CSCDR)
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer – Sequence Evaluation in Realtime
Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
Refugee Migration and Return on Social Media
QuEra at the MGHPCC
Predicting Reaction Barrier Heights
Quantum Computing in Renewable Energy Development
Quantifying Risk, Resilience, and Uncertainty with Machine Learning and HPC
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
Predicting Kinetic Solvent Effects
OpenCilk
Offshore Precipitation Capability (OPC) System
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
NASA Arctic-Boreal Vulnerability Experiment (ABoVE)
Monte Carlo eXtreme (MCX) – a Physically-Accurate Photon Simulator
Modeling Molecular Dynamics for Drug Delivery
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Machine Learning and Wastewater
Lichtman Lab – Center for Brain Science
Measuring Neutrino Mass
Learning-Task Informed Abstractions
Large-Scale Brain Mapping
Invisible Tags
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
FlyNet
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
ElectroVoxels: Modular Self-reconfigurable Robots
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

Outreach & Education Projects

See ALL Scholarships
100 Bigelow Street, Holyoke, MA 01040