Menu

October 2024 Publications

November 4, 2024

Rethinking carbon footprint metrics for effective carbon-aware scheduling? Enhanced physics-informed neural networks? Turbulent Star Formation in the Early Universe? A selection of recent publications featuring research using the MGHPCC.

Airas, Justin and Bin Zhang (2024), Scaling Graph Neural Networks to Large Proteins, arXiv: 2410.03921 [physics.chem-ph] 

Balla, Julia et al (2024), A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing, arXiv: 2410.20516 [cs.LG]  

Bashir, N. et al (2024), The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling, arXiv: 2410.15087 [cs.DC] 

BICEP/Keck Collaboration (2024), BICEP/Keck XVIII: Measurement of BICEP3 polarization angles and consequences for constraining cosmic birefringence and inflation, arXiv: 2410.12089 [astro-ph.CO] 

Blais, Christopher J. et al (2024), Uncertainty Quantification of Linear Scaling, Machine Learning, and Density Functional Theory Derived Thermodynamics for the Catalytic Partial Oxidation of Methane on Rhodium, The Journal of Physical Chemistry C, doi: 10.1021/acs.jpcc.4c05107 

Blot, Nathalie et al (2024), How host mobility patterns shape antigenic escape during viral-immune co-evolution, arXiv: 2410.17418 [q-bio.PE] 

Bokade, Rohit and Xiaoning Jin (2024), PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control, arXiv: 2410.18202 [cs.MA]  

Byun, Chansup et al (2024), LLload: An Easy-to-Use HPC Utilization Tool, arXiv: 2410.21036 [cs.PF] 

Chayapathy, Dhruva et al (2024), Time Series Viewmakers for Robust Disruption Prediction, arXiv: 2410.11065 [cs.LG]  

Fu, Beverly et al (2024), Discovery of a New Class of Aminoacyl Radical Enzymes Expands Nature’s Known Radical Chemistry, Journal of Amerian Chemical Society, doi: 10.1021/jacs.4c10348 

Govertsen, Krissy and Michael Kane (2024), Measuring health inequities due to housing characteristics, Buildings and Cities, doi: 10.5334/bc.412 

Jones, D.O. et al (2024), Blast: a Web Application for Characterizing the Host Galaxies of Astrophysical Transients, arXiv: 2410.17322 [astro-ph.HE] 

Haldar, Anubhab et al (2024), Machine learning electron-phonon interactions in two-dimensional semiconducting materials: The case of zero-point renormalization, Physical Review Materials, doi: 10.1103/PhysRevMaterials.8.L101001 

Hsu, Alan et al (2024), Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling, arXiv: 2410.02857 [astro-ph.CO] 

Vindula Jayawardana et al (2024), INTERSECTIONZOO: Eco-driving for benchmarking multi-agent contextual reinforcement learning, arXiv: 2410.15221 [cs.LG] 

Aaron Alvarado Kristanto Julistiono et al (2024), Optimizing Attention with Mirror Descent: Generalized max-margin token selection, arXiv: 2410.14581 [cs.LG]  

Kumar, Ajesh  et al (2024), Unconventional superconductivity mediated by exciton density wave fluctuations, arXiv: 2410.09148 [cond-mat.str-el]  

Li, Deng and Mona S. Minkara (2024), Comparative Assessment of Water Models in Protein–Glycan Interaction: Insights from Alchemical Free Energy Calculations and Molecular Dynamics Simulations, Journal of Chemical Information and Modeling, doi: 10.1021/acs.jcim.4c01361 

Lin, Zifan et al (2024), Most High-density Exoplanets Are Unlikely to Be Remnant Giant-planet Cores, arXiv: 2410.12640 [astro-ph.EP]  

Liu, Mengren Bill and Bilge Yildiz (2024), Onset Reaction Mechanism of Cr and S Poisoning on Perovskite Oxide Surfaces, Chemistry of Materials, doi: 10.1021/acs.chemmater.4c01936 

Maharjan, Samjhana et al (2024), Recyclable All-in-one Organo-Photo-Auxiliaries Enabling (sp3)C–(sp3)C Coupling Reactions with Diverse Functionalities, Advanced Synthesis and Catalysis, doi: 10.1002/adsc.202400899 

Mazumder, Rahul and Haoyue Wang (2024), PolyCD: Optimization via Cycling through the Vertices of a Polytope, SIAM Journal of Optimization, doi: 10.1137/23M1558975

Min, Youngjae et al (2024), Hard-constrained Neural Networks with Universal Approximation Guarantees, arXiv: 2410.10807 [cs.LG]  

Nair, Vineet Jagadeesan (2024), Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics, arXiv:2410.07527 [cs.LG]  

Nam, Juno et al (2024), Flow Matching for Accelerated Simulation of Atomic Transport in Materials, arXiv: 2410.01464 [cond-mat.mtrl-sci]  

Semenov, Vadim A. et al (2024), How Early Could the Milky Way's Disk Form, arXiv: 2409.18173 [astro-ph.GA]  

Semenov, Vadim A. et al (2024), From UV-bright Galaxies to Early Disks: the Importance of Turbulent Star Formation in the Early Universe, arXiv: 2410.09205 [astro-ph.GA] 

Subramanian, Akshay et al (2024), Symmetry-Constrained Generation of Diverse Low-Bandgap Molecules with Monte Carlo Tree Search, arXiv: 2410.08833 [physics.chem-ph]  

Yang, Yongyi et al (2024), Dynamics of Concept Learning and Compositional  Generalization, arXix: 2410.08309 [cs.LG]  

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

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

ALL Collaborative PROJECTS

Outreach & Education Projects

See ALL Scholarships
100 Bigelow Street, Holyoke, MA 01040