July Publications

August 1, 2022

Soil mercury? Early-universe energy injection? Large scale parallel sparse matrix streaming graph/network analysis? This month's selection of publications featuring research using the MGHPCC.

Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine (2022), Offline RL Policies Should be Trained to be Adaptive, arXiv: 2207.02200 [cs.LG] 

Yaqian He, Jonathan Chipman, Noel Siegert & Justin S. Mankin​ (2022), Rapid Land-Cover and Land-Use Change in the Indo-Malaysian Region over the Last Thirty-Four Years Based on AVHRR NDVI Data, Annals of the American Association of Geographers, doi: 10.1080/24694452.2022.2077168​

Paul A.​ ​Homuth​, ​James​ ​McNeely​, ​Linda H.​ ​Doerrer​ (2022), ​Extra-long Csingle bondC single bonds via negative hyperconjugation in perfluoropinacolate complexes, Polyhedron, doi: 10.1016/j.poly.2022.116040

Rajibul Islam et al (2022), Switchable large-gap quantum spin Hall state in two-dimensional MSi2Z4 materials class​, arXiv: 2207.08407 [cond-mat.mes-hall]

Jeremy Kepner (2022), Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis, SPAA '22: Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures, July 2022, doi: 10.1145/3490148.3538597

Jianing Liu, Hao Wang, Leonard C. Kogos, Yuyu Li, Yunzhe Li, Lei Tian, and Roberto Paiella (2022), Optical spatial filtering with plasmonic directional image sensors, Optics Express, doi: 10.1364/OE.460556

Sean McGrath et al (2022), Standard error estimation in meta analysis of studies reporting medians, arXiv: 2206.14386 [stat.ME]

Lauren Milechin, Julia Mullen, Chris Hill (2022), Building Experience and Confidence in HPC Practitioners through the Project-Based, Hands-On Practical HPC Course, PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 2022, doi: 10.1145/3491418.3535140

Michael Murphy, Stefanie Jegelka, Ernest Fraenkel (2022), Self-supervised learning of cell type specificity from immunohistochemical images, Bioinformatics, doi: 10.1093/bioinformatics/btac263

Connor I Olson et al (2022), Mercury in soils of the conterminous United States: patterns and pools, Environmental Research Letters, doi: 10.1088/1748-9326/ac79c2

Zeke A. Piskulich and Qiang Cui (2022), Machine Learning-Assisted Phase Transition Temperatures from Generalized Replica Exchange Simulations of Dry Martini Lipid Bilayers, J. Phys. Chem. Lett., doi: 10.1021/acs.jpclett.2c01654

R. C. Shannon, J. Zhao, Z. Li and J. Benner (2022), Sensitivity Study of Mini-Batch Size on a Long Short-Term Memory Network for Predicting Shell-to core Ratio of Microencapsulated Phase Change Materials, 2022 IEEE International Conference on Prognostics and Health Management (ICPHM), doi: 10.1109/ICPHM53196.2022.9815640

Spiekermann, K., Pattanaik, L. & Green​​, W.H. ​(2022), ​High accuracy barrier heights, enthalpies, and rate coefficients for chemical reactions, ​Nature, doi: 10.1038/s41597-022-01529-6

Yitian Sun​ ​and Tracy R. Slatyer​ (2022), Modeling early-universe energy injection with Dense Neural Networks, arXiv: 2207.06425 [hep-ph]

Alicia Y. Volmar (2022), Mechanisms of isoform-specific residue influence on GTP-bound HRas, KRas, and NRas, Biophysical Journal, doi: 10.1016/j.bpj.2022.07.005

Wang, Andrew​ (​2022​),​ Evaluating the normal approximation in econometric models​,​ Bachelor's​ ​thesis, Harvard College​

​Dali Wang et al (2022), Targeting oncogenic KRAS with molecular brush-conjugated antisense oligonucleotides, PNAS, doi: 10.1073/pnas.2113180119

Oliver Xie and Bradley D. Olsen (2022), A Self-Consistent Field Theory Formalism for Sequence-Defined Polymers, Macromolecules, doi: 10.1021/acs.macromol.2c00721

Ruiqi Zhang et al (2022), Fingerprints of nematicity and competing orders in the infinite-layer nickelate, arXiv: 2207.00814 [cond-mat.str-el] 

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


MGHPCC Publications

Research projects

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
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

Outreach & Education Projects

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