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August 30, 2024
New Antibody Insights Suggest Could Protect Against Evolving SARS-CoV-2

Researchers at Northeastern using computers at the MGHPCC say they’ve discovered how an antibody could provide broad protection against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)

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August 30, 2024
Yale announces $150 million to support leadership in AI

Over the next five years, Yale will help faculty, students, and staff engage with artificial intelligence — and equip them for leadership in the evolving field.

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August 9, 2024
June & July 2024 Publications

Solid Electrolyte Interphase Formation in Lithium Batteries? Non-Axisymmetric Gravitational "Hair"? Synthetic Audio Doppelgängers? A bumper summer selection of recent publications featuring research using the MGHPCC.

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July 22, 2024
Rendering Power Moves Student Artists into the Fast Lane

School of the Museum of Fine Arts at Tufts at Tufts animators see their work spring to life with the help of Tufts' high performance computing cluster housed at the MGHPCC.

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June 20, 2024
MGHPCC membership advances Yale’s research infrastructure

Yale joins Boston University, Harvard University, MIT, Northeastern University, and the University of Massachusetts as equal partners in the MGHPCC consortium.

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June 12, 2024
Mayor Announces Recipient of 2024 MGHPCC Scholarship

Annual Award Tops $100K.

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June 6, 2024
June 2024 Publications

Adversarially-robust representation learning? Benefits of school buses? Triple-dearomative photocycloaddition?? A selection of recent publications featuring research using the MGHPCC.

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May 23, 2024
HPEC '24 Call For Papers

Submission deadline for papers is July 7, 2024.

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May 16, 2024
UMass Engineers Develop Pioneering Method for Detecting Protein Concentrations in Assays

The research, led by Jinglei Ping in the Mechanical and Industrial Engineering Department used UMass computing facilities housed at the MGHPCC.

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May 16, 2024
Healey-Driscoll Administration Awards $1.3 Million for MA Cloud Computing

MassTech Grant Will Scale Access to Advanced Computing and Help Boost R&D, Collaboration Among Academic Researchers and Companies

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May 6, 2024
May 2024 Publications

Infant gut-associated bifidobacteria? Galaxy intrinsic alignment correlations? The phylogeny of the tea family? A selection of recent publications featuring research using the MGHPCC.

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May 2, 2024
Yale joins the MGHPCC

Yale University has joined the Massachusetts Green High Performance Computing Center (MGHPCC), a not-for-profit, state-of-the-art data center dedicated to computationally-intensive research.

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April 18, 2024
NERC’s Affordable Cloud Service now Powered by High-performance GPUs

NERC delivers powerful GPU-driven services at up to half the cost of public cloud on pay-as-you-go basis.

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April 3, 2024
April 2024 Publications

Galaxy luminosity? Chemoselective aerobic oxidation? Adaptive multiphoton microscopy acquisition? A selection of recent publications featuring research using the MGHPCC.

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March 19, 2024
Olin Faculty, Students Using High-Performance Computers to Solve Big Challenges

Associate Professor Carrie Nugent collaborates with the MGHPCC to use supercomputers for her own and student research.

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March 4, 2024
March 2024 Publications

Multi-trophic ecosystems? Enhancing thernal boundary conductance? Differential diagnosis of dementia etiologies? A selection of recent publications featuring research using the MGHPCC.

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February 14, 2024
European Space Agency green lights mission on space-based observatory

Space observatory will help MGHPCC associates at URI better understand gravitational waves.

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February 14, 2024
February 2024 Publications

Imaging the ocean? Inverse indentation problems? Digital-analog quantum learning on Rydberg atom arrays? A selection of recent publications featuring research using the MGHPCC.

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January 2, 2024
New tools are available to help reduce the energy that AI models devour

Amid the race to make AI bigger and better, Lincoln Laboratory Supercomputing Center is developing ways to reduce power, train efficiently, and make energy use transparent.

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January 2, 2024
Engineers develop a way to determine how the surfaces of materials behave

Using machine learning and MGHPCC computers, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.

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Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
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
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
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
QuEra at the MGHPCC
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Measuring Neutrino Mass
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
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
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer's Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Avoiding Smash Hits
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
All Research Projects

Collaborative projects

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Outreach & Education Projects

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