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8 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Learning ab initio phase-field models

    Oct 1, 2026Mengyi Chen, Peichen Zhong, Zihan Zhang +1Molecular DynamicsPorous Media

    Department of Mathematics, National University of Singapore, Singapore · Department of Materials Science and Engineering, National University of Singapore, Singapore · Institute for Functional Intelligent Materials, National University of Singapore, Singapore

  2. Fiber-Resolved Microstructure Quantification from Multi-Shell Diffusion MRI using Detection Transformers

    Sep 30, 2026Sebastian Endt, Marcus Wirth, Johannes Reinhold Schlund +1Magnetic Resonance ImagingPorous Media

    AImotion Bavaria, Technische Hochschule Ingolstadt, Ingolstadt, Germany · TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany · TUM School of Natural Sciences, Technical University of Munich, Garching, Germany

  3. Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design

    Sep 29, 2026Mahish K. Guru, Mayank Nagar, Ayush vyas +3Generative Inverse DesignInverse Design

    Institute of Material and Process Design, Helmholtz-Zentrum Hereon, Germany · Institute of Production Technology and Systems, Leuphana University Lüneburg, Germany · AI for Physical Systems, German Research Center for Artificial Intelligence (DFKI), Germany +1

  4. Generating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model

    Sep 17, 2026Ali Aouf, Eric Laloy, Bart Rogiers +1Porous MediaAdversarial Training

  5. Physics-based prediction, uncertainty quantification and decision-making for IN718 crystallographic texture intensity across LPBF defocus regimes

    Sep 16, 2026Yisheng Lu, John Riris, Jie Song +2Porous MediaCrystal Structure

    Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA · Department of Aerospace & Ocean Engineering, Virginia Tech, Blacksburg, VA 24061, USA · VT Made, Virginia Tech, Blacksburg, VA 24061, USA +1

  6. Inferring Dislocation Microstructures from X-ray Diffraction via Cross-Modal Contrastive Learning

    Sep 14, 2026Benjamin Udofia, Nicolas Bertin, Markus StrickerPowder X-Ray DiffractionPorous Media

    Interdisciplinary Centre for Advanced Materials Simulation Ruhr University Bochum Bochum, Germany · Lawrence Livermore National Laboratory Livermore Carlifornia, United States of America

  7. 4DMulti: automated multicomponent identification at complex material interfaces

    Sep 13, 2026Haoran Zhang, Zian Mao, Shufen Chu +6Powder X-Ray DiffractionPorous Media

    Global Institute of Future Technology, Shanghai Jiao Tong University, 200240, Shanghai, China. · Global College, Shanghai Jiao Tong University, 200240, Shanghai, China. · School of Materials Science and Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China.

  8. Constitutive State-Space Modeling of Path-Dependent Plasticity: A Resolution-Consistent and Parallelizable Computational Framework

    Sep 7, 2026Rui Barreira, Taylan Soydan, Francesco Scipione +2State Space ModelsPlasticity

    Chair of Artificial Intelligence in Mechanics and Manufacturing, ETH Zurich, Switzerland · inspire AG, Zurich, Switzerland · School of Engineering, Brown University, Providence, Rhode Island, USA

  9. Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial SrTiO3\mathrm{SrTiO_3} on Si memristors via Dynamic Spectral Optimization

    Sep 2, 2026Rodion Podorozhny, Nikoleta Theodoropoulou, Jelena TešićReram CrossbarParametric Physics-Informed Neural Network

    Dept. of Computer Science, Texas State University, San Marcos, TX, USA · Dept. of Physics, Texas State University, San Marcos, TX, USA

  10. Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution

    Sep 1, 2026Abdulkader Ghandoura, Marsil Zakour, William Consagra +1Magnetic Resonance ImagingGenerative Super-Resolution

    Psychiatry Neuroimaging Laboratory Brigham and Women’s Hospital Harvard Medical School Boston, MA, USA · School of Computation, Information and Technology Technical University of Munich Munich, Germany · Department of Statistics University of South Carolina Columbia, SC, USA

  11. Predicting Steel Fatigue Life from Micrographs Using Physics-Informed Deep Learning

    Jul 30, 2026Aryuemaan Kumar ChowdhuryShape-Memory AlloyPorous Media

    Department of Lightweighting Engineering, Indian Institute of Technology Hyderabad, India · Research & Development, Oscowl AI, Hyderabad, India

  12. Deep Learning for Accelerated Long-Horizon Forecasting of Multicomponent Multiphase Microstructure Evolution in High-Entropy Alloys

    Jul 30, 2026Hamidreza Razavi, Nele MoelansPorous MediaLong-Horizon Forecasting

    Department of Materials Engineering, KU Leuven2026 Kasteelpark Arenberg 44 Bus 2450, 3001 Leuven, Belgium

  13. Denoising 3D images: robustness of persistent homology measures

    Jul 27, 2026Ebru Dagdelen, Aakash Karlekar, Manav Arora +4Persistent HomologyIterative Denoising Methods

    Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ 07102, USA

  14. Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design

    Jul 27, 2026Peng WangGenerative Inverse DesignPorous Media

    Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK

  15. Microstructure-Conditioned Surrogate Models for Graded Multiscale Optimization of Mycelium Composites

    Jul 15, 2026J. Storm, I. B. C. M. Rocha, S. Schyck +2Porous MediaSurrogate Models

    SLIMM Lab, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, Delft, 2600GA, Zuid-Holland, The Netherlands · Shaping Matter Lab, Faculty of Aerospace Engineering, Delft University of Technology, Delft, Zuid-Holland, The Netherlands

  16. From Reconstruction to Interpretation: Zero-Setup Multi-Phase Segmentation of X-ray Tomography Data

    Jul 13, 2026Pradyumna Elavarthi, Arun J. Bhattacharjee, Harrison Lisabeth +4X-RayCone-Beam Computed Tomography

    Department of Computer Science, University of Cincinnati. · Energy Geosciences Division, Lawrence Berkeley National Laboratory. · Center for Advanced Mathematics in Energy Research Applications, Lawrence Berkeley National Laboratory. +1

  17. Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling

    Jul 8, 2026Sarah Grewe, Jörg FrochtePhysics-Informed LearningPorous Media

    Bochum University of Applied Sciences Germany

  18. HPG-Diff: Hierarchical physics-guided diffusion with differentiable connectivity constraints for topology optimization

    Jul 8, 2026Jinbo Yang, Mingyue Yuan, Boyuan Zhang +2Topology OptimizationPhysics-Guided Diffusion

    School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China · Computer Science and Engineering, University of New South Wales, Sydney, 2052, Australia · College of Intelligence and Computing, Tianjin University, Tianjin, 300072, China +1

  19. Recovering Cloud Microstructures with Cascaded Diffusion Inversion

    Jul 6, 2026Hanan Gani, Guy Pulik, Daniel Rosenfeld +2Hyperspectral Image Super-ResolutionGenerative Super-Resolution

    Mohamed Bin Zayed University of Artificial Intelligence · University of California, San Diego · Hebrew University of Jerusalem

  20. A Physics-Regulated Neural Framework for Learning 3D Grain Growth Dynamics

    Jul 6, 2026Zhihui Tian, Kang Yang, Michael Tonks +2Porous MediaMultiscale Dynamics

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA · Department of Materials Science Engineering, University of Florida, Gainesville, FL, USA · Department of Materials Science Engineering, University of Florida, Carnegie Mellon University, Pittsburgh, PA, USA

  21. Property-Constrained 3D Porous Media Reconstruction from 2D Images via Conditional Generative Adversarial Networks

    Jul 2, 2026Ali Sadeghkhani, Brandon Bennett, Arash RabbaniPorous MediaGenerative Adversarial Network

    School of Computer Science, University of Leeds, Leeds, UK

  22. Hybrid Unet-Transformer Model for Generating Stress and Strain Fields from Composite Geometrics

    Jun 30, 2026Shrey PatelPorous MediaFinite Element Method

    University of Maryland-College Park United States of America

  23. On Surrogate Modeling of Static Response of AM Short-Fiber Thermoplastics Using Graph Neural Networks

    Jun 27, 2026Pharindra Pathak, Vipin Kumar, Trenton M. Ricks +2Porous MediaFinite Element Method

    Auburn University, Oakridge National Lab, NASA Glenn Research Center, Auburn University, Auburn University · Graduate Student, Department of Aerospace Engineering, Auburn University, Auburn, AL · Sr. R&D Staff Member, Manufacturing Science Division, ORNL, Knoxville, TN +3

  24. LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational Lithography

    Jun 25, 2026Yuqi Jiang, Yumeng Liu, Zimu Li +7LithographyPhysics-Informed Learning

    Zhejiang University, No. 38 Zheda Road, Xihu District, Hangzhou, Zhejiang Province, China.

  25. Physics-Informed Modeling for Wood Thermal Analysis and Prediction

    Jun 22, 2026Jingren Xie, Alex John Buckthal, Ryan Anthony O'Connor +2Heat DiffusionPhysics-Informed Learning

    Technical University of Denmark Denmark · Pioneer Centre for AI Denmark · The Royal Danish Academy Denmark

  26. Deep material network for homogenization of piezoelectric composites

    Jun 21, 2026Ting-Ju Wei, Yen-Ming Lu, Chuin-Shan ChenPorous MediaPiezoelectric Transducers

    Department of Civil Engineering National Taiwan University Taipei, Taiwan · Department of Civil Engineering Department of Materials Science and Engineering National Taiwan University Taipei, Taiwan

  27. Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys

    Jun 20, 2026Zeyu Xia, Kan Ma, Sibo Cheng +7Shape-Memory AlloyPorous Media

    Queensland University of Technology, Queensland 4000, Australia · School of Metallurgy and Materials, University of Birmingham, Birmingham B15 2SQ, United Kingdom. · Data Science Institute, Department of Computing, Imperial College London, London SW7 2AZ, United Kingdom. +4

  28. Physics-Guided Fully Convolutional Spatiotemporal Learning Toward Digital-Twin-Enabled Microstructure Evolution Prediction

    Jun 18, 2026Michael Trimboli, Wenxi Liu, Xianqi LiPorous MediaTemporal Convolutional Networks

    Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL, 32901, USA

  29. Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs

    Jun 18, 2026Xiang Rao, Yuxuan ShenParametric Physics-Informed Neural NetworkPartial Differential Equations

    1. School of Petroleum Engineering, Yangtze University, Wuhan 430100, China · 2. School of Computer Science, Yangtze University, Jingzhou 434023, China · 3. State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization (Yangtze University), Wuhan 430100, China +2

  30. Multi-Head Attention-Based Feature Extractor Integration with Soft Actor-Critic for Porosity Prediction and Process Parameter Optimization in Additive Manufacturing

    Jun 18, 2026Kianoush Aqabakee, Leonardo StellaSoft Actor-CriticPorous Media

    Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, and Department of Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran · School of Computer Science, University of Birmingham, Birmingham B15 2TT, United Kingdom

  31. Speeding up the annotation process in semantic segmentation industrial applications

    Jun 18, 2026Marta Fernandez-Moreno, Margarita Guerrero, Rosalia Rementeria +2Semantic SegmentationHuman Annotations

    Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, DaSCI, University of Granada, 18071, Granada, Spain · Ingénica STS, Av. Pablo Iglesias 38, Bj, 33205, Gijón, Spain · ArcelorMittal Global R&D, SLab—Steel Labs, Calle Marineros 4, 33490, Avilés, Spain +1

  32. Automatic ply-specific analyses of CFRP micrographs using shortest-path-based ply distinction

    Jun 17, 2026Jonas Naumann, Jonas P. Appels, Julius Biermann +3Porous MediaShortest Paths

  33. Physics-Informed Attention Mechanism and Generalization Capability of Deep Learning-Based Grain Growth Evolution Prediction

    Jun 15, 2026Pungponhavoan Tep, Marc BernackiPhysics-Informed LearningPorous Media

    Mines Paris, PSL University Centre for Material Forming (CEMEF), UMR CNRS 06904 Sophia Antipolis, France

  34. Modelling magnetic material properties with uncertainty-aware neural networks

    Jun 10, 2026Clemens Wager, Heisam Moustafa, Alexander Kovacs +10Uncertainty QuantificationMagnetic Tunnel Junction

    Christian Doppler Laboratory for magnet design through physics informed machine learning, University for Continuing Education Krems, Wr. Neustadt, 2700, Austria · Vienna Doctoral School in Physics, Vienna, Austria · Department for integrated sensor systems, University for Continuing Education Krems, Wr. Neustadt, 2700, Austria +1

  35. IPSM-Bench: A New Intermediate Phase Segmentation Benchmark in Microstructure Images of Zinc-Based Absorbable Biomaterials

    Jun 9, 2026Jinglin Xu, Shangyan Zhao, Jiabo Wang +5Porous MediaMulti Organ Computed Tomography Segmentation

    School of Artificial Intelligence, University of Science and Technology Beijing, China · School of Materials Science and Engineering, University of Science and Technology Beijing, China · School of Big Data and Software Engineering, Chongqing University, China +3

  36. Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

    Jun 9, 2026Manuel Ricardo Guevara Garban, Yves Chemisky, Étienne Prulière +3Finite Element MethodPorous Media

    Univ. Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, Talence, France · Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, Talence, France · Institute of Mechanics and Fluid Dynamics, TU Bergakademie Freiberg, Freiberg, 09599, Germany +2

  37. Physics-Constrained Neural Surrogate for Domain Growth Prediction in Systems with Conserved Kinetics

    Jun 9, 2026Vijay Yadav, Pallvi Pandey, Madhu Priya +2Physics-Guided Machine LearningKinetics

    Department of Physics, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan 342 030, India · Department of Physics, Birla Institute of Technology Mesra, Ranchi, Jharkhand 835 215, India · Department of Physics, Central University of Rajasthan, Ajmer, Rajasthan 305 817, India

  38. GPT-Micro: A large language paradigm for accelerated, inexpensive, and thermodynamics-consistent discovery of constitutive models in manufacturing

    Jun 6, 2026Soumik Dutta, Kiarash Naghavi Khanghah, Sania Shree +4Data-Driven Materials DiscoveryMaterials

    Department of Mechanical and Aerospace Engineering, Rutgers University, USA · Department of Mechanical, Aerospace & Manufacturing Engineering, University of Connecticut, USA · Edison Welding Institute, USA +2

  39. Property-Informed Diffusion-Based Text-to-Microstructure Generation

    Jun 6, 2026Bingxuan Dai, Hongsong Wang, Jie GuiMetamaterialsPorous Media

    School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China · School of Computer Science and Engineering, Southeast University, Nanjing 210096, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China +2

  40. Topological texture analysis of microscopy images of dynamic casein gelation and its relation to rheological properties

    Jun 1, 2026Zahra Tabatabaei, Diana Soto Aguilar, Jose C. Bonilla +2Porous MediaTopology

    Department of Computer Science, University of Copenhagen, Denmark. · Department of Green Technology, University of Southern Denmark, Denmark. · Department of Food Science, University of Copenhagen, Denmark.

  41. Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning

    Jun 1, 2026Bradley G. Karat, Maëliss Jallais, Ali R. Khan +3Signal-To-Noise RatioPorous Media

    Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada · Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA · Cardiff University Brain Research Imaging Center (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom +3

  42. Machine Learning Surrogate Modeling for Homogenization of Hyperelastic Materials with Boolean Microstructures

    May 31, 2026Matthias Brändel, Oliver RheinbachSurrogate ModelsPorous Media

    Technische Universität Bergakademie Freiberg, Institut für Numerische Mathematik und Optimierung, Fakultät für Mathematik und Informatik, 09596 Freiberg, Germany.

  43. Sustainable Metal-Organic Framework Water Harvesters in the Artificial Intelligence Era

    May 27, 2026Reid A. Coyle, Shyam Chand Pal, Peter Walther +3WaterPorous Media

    Department of Chemistry, Washington University, St. Louis, MO 63130, United States. · Institute of Materials Science & Engineering, Washington University, St. Louis, MO 63130, United States.

  44. LEIA: Learned Environment for Interactive Architected Materials

    May 27, 2026Haiqian Yang, Yuan Cao, Markus J. BuehlerMaterialsPorous Media

    Unreasonable Labs · Mountain View, CA 94043, USA

  45. SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling

    May 23, 2026Pouria Behnoudfar, Deekshith Naidu Ponnana, Noah J. Schmelzer +6Parametric Physics-Informed Neural NetworkPorous Media

    Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA · Department of Civil Engineering, Johns Hopkins University, Baltimore, MD, USA · Materials Physics and Applications Division, Los Alamos National Laboratory, Los Alamos, NM, USA +2

  46. Physics-informed convolutional neural networks for fluid flow through porous media

    May 18, 2026Rafał Topolnicki, Paweł Dłotko, Maciej MatykaParametric Physics-Informed Neural NetworkPorous Media

    Dioscuri Center in Topological Data Analysis, Institute of Mathematics, Polish Academy of Sciences, ul. ´Sniadeckich 8, 00-656, Warsaw, Poland · Institute of Experimental Physics, Faculty of Physics and Astronomy, University of Wrocław, pl. M. Borna 9, 50-204, Wrocław, Poland · Institute of Theoretical Physics, Faculty of Physics and Astronomy, University of Wrocław, pl. M. Borna 9, Wrocław, 50-204, Poland +1

  47. Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media

    May 17, 2026Ebru Dagdelen, Catherin Neena Lalu, Aakash Karlekar +5Porous MediaTopology

    Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ · Department of Physics, New Jersey Institute of Technology, Newark, NJ

  48. Layer Selection in Feature-Based Losses Affects Image Quality and Microstructural Consistency in Deep Learning Super-Resolution of Brain Diffusion MRI

    May 15, 2026David Lohr, Rene WernerGenerative Super-ResolutionMagnetic Resonance Imaging

    Institue for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany · Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany · Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany

  49. Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction

    May 8, 2026Jingzhan Ge, Ajeeth Vellore, Ajinkya Palwe +5HypergraphsPorous Media

    School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, CT 06269 USA · U.S. Army Combat Capabilities Development Command, Ground Vehicle Systems Center, Warren, MI 48397 USA

  50. Capabilities of Auto-encoders and Principal Component Analysis of the Reduction of Microstructural Images; Application on the Acceleration of Phase-Field Simulations

    May 5, 2026Seifallah Fetni, Thinh Quy Duc Pham, Truong Vinh Hoang +4Autoencoder ArchitecturesPorous Media

    University of Liège, UEE Research Unit, MSM division, allée de la Découverte, 9 B52/3, B 4000 Liège, Belgium · Chair of Mathematics for Uncertainty Quantification, RWTH-Aachen University, 52056 Aachen, Germany · Institute of Strategy Development, Thu Dau Mot University, 75100 Binh Duong Province, Viet Nam

  51. GeoTopoDiff: Learning Geometry--Topology Graph Priors through Boundary-Constrained Mixed Diffusion for Sparse-Slice 3D Porous Reconstruction

    May 5, 2026Yue Shi, Peng Wang, Mingzhe Yu +5Diffusion PriorsPorous Media

    Manchester Metropolitan University, Manchester M1 5GD, U.K. · University of Surrey, Surrey, GU2 7XH, U.K. · Johnson Matthey Billingham, TS23 1LB, U.K. +1

  52. TRACED: In vivo imaging of extracellular intrinsic diffusivity, tortuosity, cell size distribution and cell density in human glioma patients

    May 4, 2026Joshua K. Marchant, Hong-Hsi Lee, Elizabeth R. Gerstner +2GliomaDiffusion Dynamics

    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, United States of America · Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, United States of America · Harvard Medical School, Boston, United States of America +2

  53. Unsupervised Electrofacies Classification and Porosity Characterization in the Offshore Keta Basin Using Wireline Logs

    Apr 29, 2026Hamdiya Adams, Theophilus Ansah-Narh, Daniel Kwadwo Asiedu +6Subsurface ScatteringPorous Media

    Department of Earth Science University of Ghana Legon, Accra, Ghana · Ghana Space Science and Technology Institute Accra, Ghana · Department of Mathematics Rhodes University, Grahamstown, South Africa +3

  54. SAMamba3D: adapting Segment Anything for generalizable 3D segmentation of multiphase pore-scale images

    Apr 29, 2026Rui Zhang, Xianzhi Song, Linqi Zhu +3Interactive 3D SegmentationSegment Anything Model

    Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, United Kingdom · College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China

  55. Early Detection of Latent Microstructure Regimes in Limit Order Books

    Apr 22, 2026Prakul Sunil Hiremath, Vruksha Arun HiremathLimit Order BookEarly Warning

    Department of Computer Science and Engineering Visvesvaraya Technological University, Belagavi · Department of Business Administration K.L.E. Society’s College of Business Administration

  56. CO2_2 sequestration hybrid solver using isogeometric alternating-directions and collocation-based robust variational physics informed neural networks (IGA-ADS-CRVPINN)

    Apr 22, 2026Askold Vilkha, Tomasz Służalec, Marcin Łoś +1Neural SolversAlgebraic Multigrid

    AGH University of Krakow, Faculty of Computer Science, Al. Mickiewicza 2026 30, Kraków, 30-059, Poland

  57. UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation

    Apr 16, 2026Kyle Lucke, Zuzanna Krajewska-Travar, Shoukun Sun +3U-NetEfficient Semantic Segmentation

    University of Idaho, 1776 Science Center Drive, Idaho Falls, Idaho 83402, U.S.A · Idaho National Laboratory, 1955 N. Fremont Ave., Idaho Falls, Idaho 83415, U.S.A

  58. From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation

    Apr 16, 2026Yili Ren, Shiqi Wen, Li Hou +8Lithology ClassificationSemantic Segmentation

    Research Institute of Petroleum Exploration and Development (RIPED) · The Hong Kong University of Science and Technology (Guangzhou) · The Hong Kong University of Science and Technology +1

  59. An Adaptive Machine Learning Framework for Fluid Flow in Dual-Network Porous Media

    Mar 20, 2026V. S. Maduri, K. B. NakshatralaParametric Physics-Informed Neural NetworkFluid Dynamics

    Department of Civil & Environmental Engineering University of Houston, Houston, Texas 77204, USA.

  60. Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach

    Feb 25, 2026Nathalie C. Pinheiro, Donghu Guo, Hannah P. Menke +4Surrogate ModelsFluid Dynamics

    Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London, SW7 2AZ UK · Institute of GeoEnergy Engineering, Heriot-Watt University, Edinburgh, EH14 1AS UK · Department of Civil and Environmental Engineering, Imperial College London, London, SW7 2AZ UK +2