Key papers

• Analytical and numerical solutions to the non-diffusive Stefan problem (2026)
  Matthew Van Ham et al.
  4.95
• Automated Derivation of Lattice Boltzmann Methods for Systems of Conservation Laws (2026)
  Adrian Kummerl\"ander et al.
  4.33
• Inverse Low-Dimensional Manifold Reconstruction Framework for Spatiotemporal Reconstruction of Compressible Physical Fields (2026)
  Qiang Liu et al.
  4.33
• Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance (2026)
  Zixuan Shen (Central South University) et al.
  4.33
• Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls (2026)
  Henrik Lange et al.
  4.33
• Physics-Informed Super-Resolution of Atmospheric Data (2026)
  Chang Xu et al.
  4.33
• Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts (2026)
  Ali Maghami et al.
  4.33
• Neural Kolmogorov Equations: Parallelizable Learning of Stochastic Dynamics under General Noise (2026)
  Arthur Bizzi et al.
  4.33
• An interaction potential method for passive and active dynamics of hyperelastic materials (2026)
  Francesco De Vita et al.
  4.33
• Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion (2026)
  Haoze Zhang et al.
  4.33
• Boundary-Adapted PINNs for Elliptic Dirichlet Problems: $H^2(\Omega)$ A Priori Error Bounds with Application to Mean Escape Time Computation (2026)
  Nathanael Tepakbong et al.
  3.45
• Designing quantum chemistry algorithms with just-in-time compilation (2025)
  Xiaojie Wu et al.
  2.87
• Quantum block encoding for semiseparable matrices (2026)
  Giacomo Antonioli et al.
  1.72
• Block encoding of sparse matrices with a periodic diagonal structure (2026)
  Alessandro Andrea Zecchi et al.
  1.67
• Quantum matrix arithmetics with Hamiltonian evolution (2025)
  Christopher Kang et al.
  1.44
• Large time-step discretisation of adiabatic quantum dynamics (2025)
  Dong An et al.
  1.39
• Spectral Gaps with Quantum Counting Queries and Oblivious State Preparation (2025)
  Almudena Carrera Vazquez et al.
  1.33
• Quantum Error Detection For Early Term Fault-Tolerant Quantum Algorithms (2025)
  Tom Ginsberg et al.
  1.06
• Randomized Row and Column Iterative Methods with a Quantum Computer (2019)
  Changpeng Shao et al.
  —
• Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm (2019)
  Dong An et al.
  —
• Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems (2019)
  Lin Lin and Yu Tong
  —
• Efficient Quantum Circuits for Accurate State Preparation of Smooth, Differentiable Functions (2020)
  Adam Holmes et al.
  —
• Efficient quantum algorithm for dissipative nonlinear differential equations (2020)
  Jin-Peng Liu et al.
  —
• An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation (2021)
  Daan Camps et al.
  —
• Some Error Analysis for the Quantum Phase Estimation Algorithms (2021)
  Xiantao Li
  —
• Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices (2022)
  Yulong Dong and Lin Lin and Yu Tong
  —
• Efficient Quantum Algorithms for Nonlinear Stochastic Dynamical Systems (2023)
  Abeynaya Gnanasekaran et al.
  —
• An Efficient Quantum Circuit for Block Encoding a Pairing Hamiltonian (2024)
  Diyi Liu et al.
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• Quantum Circuits for partial differential equations via Schr\"odingerisation (2024)
  Junpeng Hu et al.
  —
• Multivariate trace estimation using quantum state space linear algebra (2024)
  Liron Mor Yosef et al.
  —