Results 131 to 140 of about 273 (174)

Style‐Constrained Inverse Design of Microstructures With Tailored Mechanical Properties Using Unconditional Diffusion Models

International Journal for Numerical Methods in Engineering, Volume 127, Issue 13, 15 July 2026.
ABSTRACT Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high‐fidelity generation of architected microstructures with desired properties and styles. However, these recent methods typically rely on conditional training mechanisms that require extensive labeled data.
Weipeng Xu, Ziyuan Xie, Haoju Lin, Xinyu Wang, Guangjin Mou, Tianju Xue   +5 more
wiley   +1 more source

Predicting Melt‐Electrospinning Direct Writing Deposition Patterns via Multi‐Body Dynamics Simulation

Advanced Theory and Simulations, Volume 9, Issue 7, July 2026.
Melt‐electrospinning direct writing deposits polymer fibers into predefined patterns for tissue‐engineering scaffolds, but predicting fiber placement along moving nozzle paths is difficult. A validated physical model is applied to arbitrary trajectories and feed rates, reproducing experimentally written geometries and the transition from coiled to ...
Abiy Wubneh, Chun‐IL Kim, Cagri Ayranci   +2 more
wiley   +1 more source

Neural networks for faster laser ultrasound tomography in tissue phantoms. [PDF]

Photoacoustics
Al Fuwaires A, Lukacs P, Pieris D, Davis G, Mulvana H, Tant K, Stratoudaki T.   +6 more
europepmc   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, Volume 13, Issue 41, 22 July 2026.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, Volume 72, Issue 7, July 2026.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Rigidity of Symmetric Frameworks on the Cylinder. [PDF]

Discrete Comput Geom
Nixon A, Schulze B, Wall J.
europepmc   +1 more source

SiOx‐Based Probabilistic Bits Enabling Invertible Logic Gate for Cryptographic Applications

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
To enable lightweight hardware encryption and decryption, a Ti/SiOx/Ti threshold switching device is engineered to generate controllable stochastic oscillations. By tuning the input voltage, the device produces a programmable spike probability governed by intrinsic switching dynamics, enabling probabilistic bits that construct an invertible ...
Jihyun Kim, Hyeonsik Choi, Jiyong Woo
wiley   +1 more source

Fourier Expansion‐Based Approach to the Parameter Space of Classical Systems

Annalen der Physik, Volume 538, Issue 7, July 2026.
ABSTRACT We propose a new approach to compute the classical metric tensor (CMT) and the Hannay curvature using Fourier series expansions in action‐angle variables. This approach circumvents the need for complex time‐domain integrals or the construction of generating functions, replacing them with algebraic combinations of Fourier coefficients. We prove
Marcos J. Hernández, Daniel Gutiérrez‐Ruiz, Diego Gonzalez, J. David Vergara   +3 more
wiley   +1 more source

Computational Intelligence in Stochastic Reconstruction of Porous Microstructures for Image-Based Poro/Micro-Mechanical Modeling. [PDF]

Arch Comput Methods Eng
Fu J, Tan W, Xiao D, Zhuang X.
europepmc   +1 more source