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December Publications

January 3, 2023

Conditional Generative Modeling? Cyclotron Radiation Emission Spectroscopy? Stressed Polycrystalline Thin Films? This month's selection of publications featuring research using the MGHPCC.

I. Abramovic et al (2022), Data-driven model discovery for plasma turbulence modelling, J. Plasma. Phys., doi: 10.1017/S0022377822001192

Anurag Ajay et al (2022), Is Conditional Generative Modeling all you Need for Decision-making? arXiv:2211.15657 [cs.LG]

Cooper Cone et al (2022), Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System, arXiv: 2212.00855 [cs.AI]

Amaya Daigavane et al (2022), Learning Integrable Dynamics with Action-Angle Networks, arXiv: 2211.15338 [cs.LG]

Matthew H. Doran et al (2022), Myosin loop-4 is critical for optimal tropomyosin repositioning on actin during muscle activation and relaxation, Journal of General Physiology, doi: 10.1085/jgp.202213274

Chenru Duan et al (2022), Active Learning Exploration of Transition-Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores, Journal of the American Chemical Society, doi: 10.1021/jacsau.2c00547

A. Ashtari Esfahani et al (2022), Tritium Beta Spectrum and Neutrino Mass Limit from Cyclotron Radiation Emission Spectroscopy, arXiv: 2212.05048 [nucl-ex]

Cecilia Garraffo et al (2022), Revisiting the space weather environment of Proxima Centauri b, arXiv: 2211.15697 [astro-ph.SR]

Andre Grossi e Fonseca et al (2022), Quasicrystalline Weyl points and dense Fermi–Bragg arcs, arXix: 2211.14299 [cond-mat.mes-hall]

Dominick P. Guida et al (2022), Discharge intermittency considerably changes ZnO spatial distribution in porous Zn anodes, Journal of Power Sources, doi: 10.1016/j.jpowsour.2022.232460

Iksung Kang et al (2022), Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time, arXiv: 2212.00014 [eess.IV]

Samuel Kim et al (2022), Automated Discovery and Optimization of 3D Topological Photonic Crystals, arXiv: 2211.16560 [physics.optics]

Shelley L. Kuth et al (2022), The Multi-Tier Assistance, Training, and Computational Help (MATCH) Project, a Track 2 NSF ACCESS Initiative, Journal of Computational Science Education, doi: 10.22369/issn.2153-4136/13/2/4

Christopher M. Lemon et al (2022), Solvent-Induced Spin-State Change in Copper Corroles, Inorganic Chemistry, doi: 10.1021/acs.inorgchem.2c02678

Christopher M. Lemon et al (2022), Ag(III)···Ag(III) Argentophilic Interaction in a Cofacial Corrole Dyad, Inorganic Chemistry, doi: 10.1021/acs.inorgchem.2c02285

Soon Wei Daniel Lim et al (2022), Point singularity array with metasurfaces, arXiv: 2211.15012

Y. Ling et al (2022), Wall-modeled large-eddy simulation based on building-block flows, arXiv: 2212.05120 [physics.flu-dyn]

Runze Liu et al (2022), Experimental and Computational Evaluation of Self-Assembled Morphologies in Diblock Janus Bottlebrush Copolymers, Nano Letters, doi: 10.1021/acs.nanolett.2c03927

Neha Makhija and Wolfgang Gatterbauer (2022), A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations, arXiv: 2212.08898 [cs.DB]

Gabriel B. Margolis and Pulkit Agrawal (2022), Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior, arXiv: 2212.03238 [cs.RO]

A. Matthews et al (2022), Deep Electric Field Predictions by Drift-Reduced Braginskii Theory with Plasma-Neutral Interactions Based on Experimental Images of Boundary Turbulence, Physical Review Letters, doi: 10.1103/PhysRevLett.129.235002

A. F. da Mota and H. Mosallaei (2022), Enhanced quantum efficiency and Purcell factor of incoherent light-emitting source modulators coupled with nanoantennas: DDA modeling and optimization, Journal of the Optical Society of America B, doi: 10.1364/JOSAB.476746

Marku Nyevel R. Perez et al (2022), Quantum spin Hall insulating phase and van Hove singularities in Zintl single-quintuple-layer AM2X2 (A=Ca, Sr, or Ba; M=Zn or Cd; X=Sb or Bi) family, Applied Physics Reviews, doi: 10.1063/5.0071687

Carlo Rizza et al (2022), Extreme Optical Anisotropy in the Type-II Dirac Semimetal NiTe2 for Applications to Nanophotonics, ACS Applied Nano Materials, doi: 10.1021/acsanm.2c04340

Andrew K. Saydjari et al (2022), Measuring the 8621 ˚A Diffuse Interstellar Band in Gaia DR3 RVS Spectra: Obtaining a Clean Catalog by Marginalizing over Stellar Types, arXiv: 2212.03879 [astro-ph.GA]

Thijs Stuyver et al (2022), Reaction profiles for quantum chemistry-computed [3 + 2] cycloaddition reactions, arXiv: 2212.06014 [physics.chem-ph]

Thijs Stuyver et al (2022), Machine learning-guided computational screening of new bio-orthogonal click reactions, arXiv: 2212.07621 [physics.chem-ph]

Long hin Tang et al (2022), Integrability and quench dynamics in the spin-1 central spin XX model, arXiv: 2212.04477 [cond-mat.str-el]

Mengyuan Wang et al (2022), Emergent grain boundary phases in stressed polycrystalline thin films, arXiv: 2212.06789 [cond-mat.mtr]

Kyoungwan Woo and Achyuta Rajaram (2022), FREDSR: Fourier Residual Efficient Diffusive GAN for Fast Single Image Super Resolution, arXiv: 2211.16678

Zhang Q. et al (2022), Agent-based modeling of the effects of conservation policies on social-ecological feedbacks between cropland abandonment and labor migration, Landscape Ecology, doi: 10.1007/s10980-022-01575-w

Yilin Zhu et al (2022), Design of ultracompact broadband focusing spectrometers based on diffractive optical networks, Optics Letters, doi: 10.1364/OL.475375

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

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MGHPCC Publications

If your work involves computing intensive research we would love to showcase it at the MGHPCC booth this November.

To be considered, please use this short form or drop an email to scwebteam@mghpcc.org with your name, organization, project title, and a brief description of the project. Find out more

Research projects

Foldit
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​
Higgs Boson Spotted in Holyoke?
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

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Outreach & Education Projects

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