On-the-fly nonadiabatic dynamics? Subgrid turbulence in large-eddy simulations? Additive Bayesian optimization? A selection of recent publications featuring research using the MGHPCC.
Ahmat Ibrahim, S., Meng, S., Milhans, C. et al. (2025), Interpretable machine learning-guided plasma catalysis for hydrogen production, Nat Chem Eng, doi: 10.1038/s44286-025-00287-7
Amoudruz, Lucas et al (2025), Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss, arXiv: 2510.15664 [stat.ME]
Barquilla, M. D. P., Chung, W. C., & Mayes, M. L. (2025), Unveiling the mechanism of o-fluorophenol ultrafast photodecay using on-the-fly nonadiabatic dynamics, Molecular Physics, doi: 10.1080/00268976.2025.2563030
Bertsimas, Dimitris and Yubing Cui (2025), Adaptive Forests For Classification, arXiv: 2510.22991 [cs.LG]
BICEP/Keck consortium (2025), BICEP/Keck XX: Component-separated maps of polarized CMB and thermal dust emission using Planck and BICEP/Keck Observations through the 2018 Observing Season, arXiv: 2509.21648 [astro-ph.CO]
Bouabid, Shahine et al (2025), Score-based generative emulation of impact-relevant Earth system model outputs, arXiv: 2510.04358 [physics.ao-ph]
Boyle, Peter et al (2025), Studying QED3 with radial quantization on the lattice – I. Free limit, arXiv: 2510.03085
Cheng, Yu and Tianle Liu (2025), Generative AI for subgrid turbulence in large-eddy simulations, arXiv: 2510.00383 [physics.flu-dyn]
Damashek, J. et al (2025), TIME: a metabolically-resolved reference database of nitrogen-fixing microbial genomes, Microbiol Resour Announc, doi: 10.1128/mra.00897-25
Derkarabetian, Shahan et al (2025), Covering all bases: a universal Metazoan UCE probe set to democratize phylogenomics, Genome Biology and Evolution, doi: 10.1093/gbe/evaf193
DePalma, David et al (2025), H I Properties of Field Galaxies at z ≈ 0.2–0.6: Insights into Declining Cosmic Star Formation, arXiv: 2510.03400 [astro-ph-GA]
Faggioli, Guglielmo et al (2025), Characterizing the merger of equatorial-eccentric-geodesic plunges in rotating black holes, Phys. Rev. D, doi: 10.1103/xq3j-4jtx
Grigoropoulos, Costas et al (2025), Metamaterials from the Deep: Optimized Mechano-Fluidic Materials Inspired by Deep-Sea Sponges, via ResearchSquare, doi: 10.21203/rs.3.rs-7756357/v1
Guan, Lindsey and Amy E. Keating (2025), Training bias and sequence alignments shape protein–peptide docking by AlphaFold and related methods, Protein Science, doi: 10.1002/pro.70331
Islam, Tousif, Gaurav Khanna, and Scott E. Field (2025), Consistency of spin effects between numerical relativity and perturbation theory for inspiraling comparable-mass black hole binaries, https://arxiv.org/abs/2510.00531 [qr-qc]
Kumar, V., et al (2025), Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-temporal Air Pollution Predictions using High-Performance Computing, 2025 IEEE High Performance Extreme Computing Conference (HPEC), Wakefield, MA, USA, 2025, pp. 1-7, doi: 10.1109/HPEC67600.2025.11196402
Lasrado, Ninaad et al (2025), An intramuscular prime and mucosal boost vaccine regimen protects against lethal clade 2.3.4.4b H5N1 challenge in cynomolgus macaques, Science Translational Medicine, doi: 10.1126/scitranslmed.ady2282
Luszczek, Piotr et al (2025), Performance and Numerical Aspects of Decompositional Factorizations with FP64 Floating-Point Emulation in INT8, arXiv: https://arxiv.org/pdf/2509.23565 [math.NA]
Majumdar, Sauradeep et al (2025), The free energy landscape of Li- and Na-ion transport in nanoconfinement with machine learning interatomic potentials, via ChemrXiv, doi: 10.26434/chemrxiv-2025-rt6s2
Martınez-Sanchez, Alvaro and Adrian Lozano-Duran (2025), Cause-and-effect approach to turbulence forecasting, arXiv: 2509.25065 [physics.flu-dyn]
McDaniel, E.L. et al (2025), LLMs in Crisis Triage: Benchmarking Zero-Shot Classification of Social Media, 2025 IEEE High Performance Extreme Computing Conference (HPEC), Wakefield, MA, USA, 2025, pp. 1-10, doi: 10.1109/HPEC67600.2025.11196442
Nam, Juno et al (2025), Flow matching for accelerated simulation of atomic transport in crystalline materials, Nature Machine Intelligence, doi: 10.1038/s42256-025-01125-4
Narrett, Isaac et al (2025), Mercury Crustal Magnetization Indicates a Stronger Ancient Dynamo, arXiv: 2510.02003
Narrett, Isaac et al (2025), Impact Plasma Amplification of the Ancient Mercury Magnetic Field, arXiv: 2510.01975
Nicknish, P. A., Stone, K., Solomon, S., and Carn, S. A.(2025), Quantifying the decay timescale of volcanic sulfur dioxide in the stratosphere, Atmos. Chem. Phys., doi: 10.5194/acp-25-11535-2025
Pilat, D.J. et al (2025), The gain-of-function TREM2-T96K mutation increases risk for Alzheimer’s disease by impairing microglial function, Neuron, doi: 10.1016/j.neuron.2025.09.032
Pashakhanloo, Farhad (2025), Contribution of task-irrelevant stimuli to drift of neural representations, arXiv: 2510.21588 [q-bio.NC]
Puducheri, S., Zhou, O.T., Kapadia, K. et al (2025), Augmenting radiological assessment of imaging evident dementias with radiomic analysis, npj Dement., doi: 10.1038/s44400-025-00031-1
Reuther, A. et al (2025), Lincoln AI Computing Survey (LAICS) and Trends, 2025 IEEE High Performance Extreme Computing Conference (HPEC), Wakefield, MA, USA, 2025, pp. 1-12, doi: 10.1109/HPEC67600.2025.11196427
Sivaloganathan, J et al (2025), The Impact of Foundation Models on the UN Sustainable Development Goals, 2025 IEEE International Conference on eScience (eScience), Chicago, IL, USA, 2025, pp. 375-376, doi: 10.1109/eScience65000.2025.00078
Tazin, A. and Kokar, M.M. (2025), UML Class Diagram Classification Using Category Theory, Journal of
Software Engineering and Applications, doi: 10.4236/jsea.2025.187014
Wycoff, Nathan (2025), On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization, arXiv: https://arxiv.org/pdf/2510.11792 [stat.ML]
Yao, X., S. Yang, M. Varia and M. Herbordt (2025), Accelerating Multi-Party Computation Using Heterogeneous Systems, 2025 IEEE High Performance Extreme Computing Conference (HPEC), Wakefield, MA, USA, 2025, pp. 1-10, doi: 10.1109/HPEC67600.2025.11196126
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