Latest papers 104

17 papers in the last four weeks, up 13% on the four weeks before. 0.1% of all new papers.

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  1. Deep Learning-Driven Black-Box Doherty Power Amplifier with Pixelated Output Combiner and Extended Efficiency Range

    Mar 17, 2026Han Zhou, Haojie Chang, David WidenNeural Surrogate ModelingInverse Design

  2. Generative Inverse Design with Abstention via Diagonal Flow Matching

    Mar 16, 2026Miguel de Campos, Werner Krebs, Hanno GottschalkFlow MatchingUncertainty Quantification

  3. Generative Inverse Design of Cold Metals for Low-Power Electronics

    Mar 14, 2026Kedeng Wu, Yucheng Zhu, Yan Chen +6Inverse DesignScientific Discovery

  4. Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems

    Mar 12, 2026Harshitha Menon, Charles F. Jekel, Kevin Korner +15AI Agents for Scientific DiscoveryMulti-Agent LLM Systems

  5. From Phase Prediction to Phase Design: A ReAct Agent Framework for High-Entropy Alloy Discovery

    Mar 10, 2026Iman Peivaste, Salim BelouettarInverse DesignMaterials Science

  6. Escaping the Hydrolysis Trap: An Agentic Workflow for Inverse Design of Durable Photocatalytic Covalent Organic Frameworks

    Mar 5, 2026Iman Peivaste, Nicolas D. Boscher, Ahmed Makradi +1Materials ScienceInverse Design

  7. Pushing the Limits of Inverse Lithography with Generative Reinforcement Learning

    Feb 22, 2026Haoyu Yang, Haoxing RenInverse Design

  8. Gradient-Informed Bayesian and Interior Point Optimization for Efficient Inverse Design in Nanophotonics

    Feb 20, 2026Yannik Mahlau, Yannick Augenstein, Tyler W. Hughes +2Inverse DesignSurrogate-Assisted Optimization

  9. Factorization Machine with Quadratic-Optimization Annealing for RNA Inverse Folding and Evaluation of Binary-Integer Encoding and Nucleotide Assignment

    Feb 18, 2026Shuta Kikuchi, Shu TanakaInverse DesignBlack-Box Optimization

  10. RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion

    Feb 18, 2026Tianmeng Hu, Yongzheng Cui, Biao Luo +1Inverse Design3D Diffusion Models

  11. Guided Diffusion by Optimized Loss Functions on Relaxed Parameters for Inverse Material Design

    Feb 17, 2026Jens U. Kreber, Christian Weißenfels, Joerg StuecklerInverse DesignInverse Problems

  12. GenPANIS: A Latent-Variable Generative Framework for Forward and Inverse PDE Problems in Multiphase Media

    Feb 16, 2026Matthaios Chatzopoulos, Phaedon-Stelios KoutsourelakisPDE Inverse ProblemsPhysics-Informed Generative Modeling

  13. ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning

    Jun 9, 2025Ziwen Wang, Jiajun Fan, Ruihan Guo +3Protein Language ModelsMolecular Generation