Recovering Greenland ice loss from sea level fingerprints? Quantum spin modeling? Coercivity-aware machine learning? A selection of recent publications featuring research using computers at the MGHPCC.
Abraham Herzog-Arbeitman, Pablo Leon, Benedikt S. Schreib, KyuJung Jun, Jurgis Ruza, Vanesa Munoz Perales, Yang Shao-Horn, Rafael Gomez-Bombarelli, Jeremiah A. Johnson (2026), Synthesis of Ladder and Flexible Polysulfonimides Directly From Anionic Monomers: Investigating Structure–Property Convergence in Succinonitrile–Polymer Electrolyte Blends, Angewendte Chemie, doi: 10.1002/ange.8257644
Bao, Xiyuan et al (2026), Neural Operators Reveal Scale-Dependent Limits on Recovering Greenland Ice Loss from Sea Level Fingerprints, arXiv: 2610.23748 [physics.geo-ph]
Barandiaran, Mikel Martin et al (2026), Cosmic topology. Part IId. Eigenmodes and correlation matrices of lens spaces, arXiv: 2610.12418 [astro-ph.CO]
Basseri, Benjamin et al (2026), Local Citation Recommendation Without Graph Signals, arXiv: 2610.15832 [cs.IR]
Chandra, V. et al (2026), Which Milky Way Streams Make the Best Dark Matter Detectors? arXiv: 2610.00456 [astro-ph.GA]
Dal Negro, Luca and Hari Sundar (2026), Localization Landscapes based on the Green’s Matrix of Non-Hermitian Optical Scattering Systems, arXiv: 2610.13413 [physics.optics]
Felici, M. et al (2026), PROSERPINA: An Automated Pipeline for Martian Ionospheric Radio-occultation Retrievals with Probabilistic Uncertainty and Spherical-symmetry Bias Quantification, The Planetary Science Journal, doi: 10.3847/PSJ/aea408
Flynn, Ryan and Anders W. Sandvik (2026), SU(𝑁) Quantum Spin Model with Weak and Strong First-Order Transitions from Néel to Valence-Bond Solid, Phys. Rev. Lett., doi: 10.1103/h98c-37gv
Geng, S. et al (2026), "Integer-Clustering Optimization and Energy Hub Co-Design of Hydrogen and Battery EV Fleets," in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2026.3745289
Graham, Pierre-Antoine et al (2026), Non-Abelian quantum Hall states at strong Landau level mixing: finding anyons with first-principles AI, arXiv: 2610.18967 [cond-mat.mes-hall]
Gu, X., Wang, T., Liu, FZ. et al (2026), Mechanoradical-chain C(sp3)–C(sp2) coupling with unactivated arenes, Nat. Synth, doi: 10.1038/s44160-026-01171-9
Hussaini, Maryam et al (2026), Feedback-Conditional 3D Reconstruction of Cosmic Baryons with Flow Matching, arXiv: 2610.10741 [astro-ph.CO]
Karve, N. et al (2026), Speed-Fisher Information: Chaos and Irreversibility in Classical and Quantum Dynamics, arXiv: 2609.35687 [cond-mat.stat-mech]
Kling, T.P. et al (2026), Observational signatures of Kerr black hole lensing, MNRAS 552, doi: 10.1093/mnras/stag1890
Li, Jing et al (2026), A plug-in estimator of the non-iterative conditional expectation g-formula using long short-term memory models, arXiv: 2610.27354 [stat.ME]
Liu, Xihan (2026), Understanding Hydrogen Reactivity and Ethanol Oxidation on Metal Catalysts: From Thermal Catalysis to Electrocatalysis, University of California, Los Angeles ProQuest Dissertations & Theses, 2026. 32906558.
Luo, Weiliang and Heather J. Kulik (2026), Enerzyme: An Efficient Reactive Neural Network Potential Training Framework for Enzyme Cluster Models with Application to Methyltransferases, J. Chem.Theory Comput., doi: 10.1021/acs.jctc.6c01330
Lyssenko, Artur, KyuJung Jun, and Rafael G´omez-Bombarelli (2026), Drude, Where’s My Charge? End-to-End Learning of Polarizable Drude Force Fields for Polymer Electrolytes, arXiv: 2610.12799 [cond-mat.mtrl-sci]
Mahata, Avik and David Priefer (2026), Coercivity-Aware Machine Learning Discovery of Rare-Earth-Free Soft Magnetic Alloys with First-Principles Magnetic Benchmarks, arXiv: 2610.03171
Mullen, J et al (2026), Creating SquashFS Images to Support HPC and AI Datasets, arXiv: 2610.20578 [cs.IR]
Okoroafor, A. et al (2026), The assembled catalytic triad of Ideonella sakaiensis PETase is metastable in apo molecular dynamics simulations across multiple control conditions, via ChemRxiv, doi: 10.26434/chemrxiv.15009960
Orona, Diego Andr´es Rivera and Scott A. Hughes (2026), Computing gravitational radiation from highly eccentric bound binaries in the small-mass-ratio limit, arXiv: 2609.36327 [gr-qc]
Owens, James and Emre Gençer (2026), Risk-informed evaluation of delivery fleet electrification and vehicle-to-grid economics, Energy Reports, doi: 10.1016/j.egyr.2024.12.024
Scheer, Michael G. and Eslam Khalaf (2026), A Hierarchy of Exact Lower Bounds on the Laughlin Spectral Gap, arXiv: 2610.18854 [cond-mat.str-el]
Weidman, Sarah and Zhiming Kuang (2026), Extending the limits of online state-independent bias corrections in climate models, via ESS Open Archive, doi: 10.22541/essoar.15010551/v1
Wills, Adam et al (2026), Classification of Generalised Triorthogonal Codes through Length 54, arXiv: 2609.30860 [quant-ph]
Wu, Kai-Hsin et al (2026), Annealing Dynamics of the Two-Dimensional Fully Frustrated Ising Model, arXiv: 2610.25109 [cond-mat.stat-mech]
Zhang, D., Jacob, D. J., Lundgren, E. W., Sulprizio, M. P., Balasus, N., Estrada, L. A., Reidy, E., and Varon, D. J. (2026), Efficient computation of global high-resolution Jacobian matrices for analytical inversions of satellite observations of greenhouse gases: Application to the Integrated Methane Inversion (IMI) version 2.3, EGUsphere [preprint], doi: 10.5194/egusphere-2026-4399
Zheng, Jonathan Wenyuan and William H. Green (2026), UpKast: Method, Model, and Database for Large-Scale Cross-Solvent Determination of pKa Values, via ChemRxiv, doi: 10.26434/chemrxiv.15010254/v1
Zhong, M., & Karma, A. (2026), Dealloying by peritectic melting: a phase-field study, Materials Research Letters, doi: 10.1080/21663831.2026.2744711
Zichi, L. et al (2026), BRANCHIP: Learning adaptive equivariant computation for interatomic potentials, arXiv: 2610.02013 [cs.LG]
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