Methane

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1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Grand Canonical Generators

    Sep 30, 2026Andreas Burger, Malte Franke, Luka Mucko +2Boltzmann DistributionsMonte Carlo

    University of Toronto NVIDIA Vector Institute Toronto, Canada · NVIDIA · ETH Zurich NCCR Catalysis Zurich, Switzerland +2

  2. MethaneFuse: Learning from Multi-Sensor Satellite Observations for Methane Plume Detection

    Sep 9, 2026Yuyao Wang, Juliana Y. Leung, Di NiuMethaneSatellite Data

    Department of Electrical and Computer Engineering University of Alberta Edmonton, Canada · Department of Civil and Environmental Engineering University of Alberta Edmonton, Canada

  3. PlumeQuant: Uncertainty-aware consistency assessment of methane plume masks and emission-rate estimates

    Jul 15, 2026Parisa Masnadi Khiabani, Wolfgang Jentner, Alireza Rangrazjeddi +4MethaneHyperspectral Image

    Data Institute for Societal Challenges, University of Oklahoma, Norman, OK 73019, USA · Data Science & Analytics Institute, University of Oklahoma, Norman, OK 73019, USA · School of Industrial & Systems Engineering, University of Oklahoma, Norman, OK 73019, USA +4

  4. Methane-Plume Segmentation From Hyperspectral Satellite Imagery Via Multimodal Deep Learning

    Jun 24, 2026Brayan Quintero, Jeferson Acevedo, Samuel Traslaviña +1MethaneHyperspectral Image

    Department of Computer Science, Universidad Industrial de Santander Bucaramanga, 680002, Colombia

  5. A Fast Methane Detection Pipeline on Board Satellites Based on Mag1c-SAS and LinkNet

    Jun 2, 2026Jonáš Herec, Vít Růžička, Rado Pitoňák +1MethaneHyperspectral Image

    Zaitra s.r.o., Brno, Czech Republic · Faculty of Informatics, Masaryk University, Brno, Czech Republic · NASA JPL, California, USA

  6. Machine Learning-Driven Chemical Reactor Network Modeling of the Sandia-D Flame

    Jun 1, 2026Nicolas J. Tricard, Benjamin C. Koenig, Sili DengCombustion ControlChemical Process Systems

    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

  7. FLAME: Physics-Guided Neural Operators for Onboard Satellite Methane Detection in Hyperspectral Imagery

    Jun 1, 2026Junhyuk Heo, Junhwan Park, Sancheol Sim +2MethaneHyperspectral Image

    TelePIX, Seoul, Republic of Korea

  8. Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening

    May 26, 2026Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit +1MethaneAtmospheric Dynamics

    SRON Space Research Organisation Netherlands Leiden, The Netherlands · GHGSat Inc. Montreal, Canada · Department of Earth Sciences, Vrije Universiteit Amsterdam Amsterdam, The Netherlands

  9. Towards Drone-based Mapping of Volcanic Gases using Gas Tomography

    May 26, 2026Marius Schaab, Niklas Karbach, Antonia Rabe +5MethaneSubsurface Scattering

    School of Computation, Information and Technology, Technical University of Munich (TUM), Germany · Department of Chemistry, Johannes Gutenberg-University (JGU), Germany · Institute of Communications and Navigation, German Aerospace Center (DLR), Germany

  10. Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing

    May 22, 2026Manuel Pérez-Carrasco, Maya Nasr, Zhan Zhang +16MethaneUnsupervised Detection

    Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA · Environmental Defense Fund, Washington, D.C., USA · Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA +7

  11. Physics-Guided Concentration Inference from Resistance Transients in a Mixed-Phase SnO-SnO2_2 Carbon Monoxide Sensor with p-n Switching

    May 13, 2026Sani Biswas, Preetam Singh, Amit Kumar GangwarMobile Gas Sensor Trajectories Govern Hydrogen Leak DetectionMethane

    Centro de Modelamiento Matem´atico, Universidad de Chile & IRL 2807 - CNRS, Santiago, Chile · CSIR-National Physical Laboratory, Dr. K.S. Krishnan Marg, New Delhi, 110012, India · Department of Chemical Engineering, Biotechnology and Materials, FCFM, Universidad de Chile, Santiago, Chile and ANID - Millenium Science Initiative, Millenium Nuclei of Advanced MXenes for Sustainable Applications (AMXSA), Santiago, Chile

  12. Beyond the Black Box: An Interpretable Machine Learning Framework for Predicting Electronic Structure Microdescriptors and Structure-Performance Relationships in Fe-based Catalytic Systems

    May 9, 2026Oyinkansola RomiluyiHeterogeneous CatalysisFeature Importance

    University of Texas at Austin

  13. Fully Automatic Trace Gas Plume Detection

    May 5, 2026Vít Růžička, David R. Thompson, Jay E. Fahlen +13MethaneHyperspectral Image

    Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena CA, USA. · Independent researcher, Houston TX, 77041, USA. · Carbon Mapper, 680 E Colorado Blvd, Pasadena, CA, 91101, USA. +1