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 hlh@nullmit.edu
