Search Results - "Automatic differentiation"

Sparsity Applications for Gradient‐Based Optimization of Wind Farms.

Authors: Varela, Benjamin Ning, Andrew

Source: Wind Energy. Jul2026, Vol. 29 Issue 7, p1-18. 18p.

Subjects: Automatic differentiation, Optimization algorithms, Finite difference method, Data structures, Energy infrastructure

Probabilistic amplitude-versus-angle inversion via annealed Stein variational gradient descent, automatic differentiation, and model-space compression.

Authors: BERTI, S. RINCÓN, F. ALEARDI, M.

Source: Bulletin of Geophysics & Oceanography (BGO). Jun2026, Vol. 67 Issue 2, p381-404. 24p.

DJ4Earth: Differentiable, and Performance‐Portable Earth System Modeling via Program Transformations.

Authors: Moses, William S. Cheng, Gong Churavy, Valentin et al.

Source: Journal of Advances in Modeling Earth Systems. May2026, Vol. 18 Issue 5, p1-29. 29p.

Toward state estimation by high gain differentiators with automatic differentiation.

Authors: Röbenack, Klaus Gerbet, Daniel

Source: Optimization Methods & Software. Apr2026, Vol. 41 Issue 2, p279-294. 16p.

Subjects: Automatic differentiation, High-order derivatives (Mathematics), Symbolic computation, Automatic control systems, Parameter estimation, Estimation theory, Observability (Control theory)

Learning hadron emitting sources with deep neural networks.

Authors: Wang, Lingxiao Zhao, Jiaxing

Source: Communications Physics. 2/11/2026, Vol. 9 Issue 1, p1-7. 7p.

LEX v1.6.0: a new large-eddy simulation model in JAX with GPU acceleration and automatic differentiation.

Authors: Zhu, Xingyu Qu, Yongquan Shi, Xiaoming

Source: Geoscientific Model Development. 2026, Vol. 19 Issue 3, p1103-1120. 18p.

MapsTorch: automatic differentiation for X‐ray fluorescence data analysis.

Authors: Yin, Xiangyu Di, Zichao Antipova, Olga et al.

Source: Journal of Synchrotron Radiation. Jan2026, Vol. 33 Issue 1, p235-245. 11p.

Subjects: X-ray fluorescence, Automatic differentiation, Data analysis, Open source software, Synchrotrons, Mathematical optimization, Spectrometry

Matrix Square Root Based Differentiable RCWA Implementation for High-Performance Parallel Computing.

Authors: Van der Ceelen, Frank Shao, Yifeng Coene, Wim

Source: Progress in Electromagnetics Research C; 2026, Vol. 163, p60-72, 13p

Application of Artificial Neural Networks for Solving Fractional Higher-Order Linear Integro-Differential Equations Using Deep Learning.

Authors: Vankdothu, Ramdas Vallabhapurapu, Sreedevi

Source: Journal of Computational Analysis & Applications; 2025, Vol. 34 Issue 12, p114-123, 10p

Fast Dispersion-Curve Inversion using Automatic Differentiation Gradient-Based Calculation.

Authors: Irnaka, Theodosius Marwan Hartantyo, Eddy

Source: Makara Journal of Science. Dec2025, Vol. 29 Issue 4, p548-557. 10p.

A Physics-Informed Neural Network Based on the Separation of Variables for Solving the Distributed-Order Time-Fractional Advection–Diffusion Equation.

Authors: Liu, Wenkai Liu, Yang

Source: Fractal & Fractional. Nov2025, Vol. 9 Issue 11, p712. 32p.

HOPE: an arbitrary-order non-oscillatory finite-volume shallow water dynamical core with automatic differentiation.

Authors: Zhou, Lilong Xue, Wei Shen, Xueshun

Source: Geoscientific Model Development. 2025, Vol. 18 Issue 21, p8175-8201. 27p.

Sensitivity analysis of normal mode algorithms using automatic differentiation.

Authors: Vardi, Ariel Averbuch, Gil Leonard, John J.

Source: Journal of the Acoustical Society of America. May2026, Vol. 159 Issue 5, p4576-4589. 14p.

Subjects: Sensitivity analysis, Automatic differentiation, Acoustic wave propagation, Modal analysis, Underwater acoustics, Eigenvalues

Development of an adjoint system-based hydrofoil optimisation framework using algorithmic differentiation.

Authors: Tannenberg, Rafael Hochkirch, Karsten Walther, Andrea et al.

Source: Optimization & Engineering. Jun2026, Vol. 27 Issue 2, p1397-1423. 27p.

Subjects: Hydrofoils, Automatic differentiation, Yacht racing, Simulation methods & models, Mathematical programming

De Moivre and Euler Formulas for Hyper-Dual Numbers.

Authors: Öztürk, İskender Çakır, Hasan Özdemir, Mustafa

Source: Journal of New Theory. 2025, Issue 53, p47-53. 7p.

A Hyper-Dual Number Approach to Higher-Order Derivative Computation.

Authors: Kim, Ji Eun¹ (AUTHOR)

Source: Axioms (2075-1680). Aug2025, Vol. 14 Issue 8, p641. 15p.

Calculation of machine precision second order derivatives using dual-complex numbers.

Authors: Millwater, H. Balcer, M. Millwater, N.

Source: Numerical Algorithms. Aug2025, Vol. 99 Issue 4, p1925-1941. 17p.

Scalable analysis and design using automatic differentiation.

Authors: Andrej, Julian Kolev, Tzanio Lazarov, Boyan

Source: AIP Conference Proceedings. 2026, Vol. 3489 Issue 1, p1-4. 4p.

Event-Driven Edge Agent Framework for Distributed Control in Distribution Networks.

Authors: Zhang, Xianglong Liu, Ying Gu, Songlin et al.

Source: Energies (19961073). Jun2025, Vol. 18 Issue 11, p2734. 23p.

Subjects: Power distribution networks, Automatic differentiation, Hybrid systems, Configuration management, Web-based user interfaces

Elucidating the Theoretical Underpinnings of Surrogate Gradient Learning in Spiking Neural Networks.

Authors: Gygax, Julia Zenke, Friedemann

Source: Neural Computation. May2025, Vol. 37 Issue 5, p886-925. 40p.

Subjects: Artificial neural networks, Automatic differentiation, Information processing