Results 101 to 110 of about 3,971 (266)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Further equivalences and semiglobal versions of integral input to state stability, Dynam

, 2000
This paper continues the study of the integral input-to-state stability (iiss) property. It is shown that the iiss property is equivalent to one which arises from the consideration of mixed norms on states and inputs, as well as to the superposition of a
Dip Sistemi Informatica, David Angeli
core   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

ISS in Different Norms of Coupled Nonlinear Parabolic PDEs with Dirichlet Boundary Disturbances

Mathematics
This paper addresses the input-to-state stability (ISS) in different Lq-norms for a class of coupled nonlinear partial differential equations of parabolic type subject to both in-domain disturbances and Dirichlet boundary disturbances, where q∈[1 ...
Binwei Xie, Syed Omar Shah, Jun Zheng
doaj   +1 more source

Notions of Input to Output Stability

, 1997
This paper deals with several related notions of output stability with respect to inputs (which may be thought of as disturbances). The main such notion is called input to output stability (ios), and it reduces to input to state stability (iss) when the
Yuan Wang, Eduardo Sontag
core  

A new unified input‐to‐state stability criterion for impulsive stochastic delay systems with Markovian switching

, 2020
In this paper, the input-to-state stability (ISS), the integral input-to-state stability (iISS), the stochastic input-to-state stability (SISS) and the eλt (λ > 0)-weighted input-to-state stability (eλt-ISS) for nonlinear time-varying impulsive ...
Shi, Peng, Lim, C.C., Huabin Chen, Peng Shi, Lim, Cheng-Chew, Chen, H., Chen, Huabin, Cheng‐Chew Lim, Shi, P.   +8 more
core   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Design and Implementation of a Reference Model-Based Disturbance Observer for Position Control of Electro-Hydraulic Servo Systems

IEEE Access
Electro-hydraulic servo systems are often subject to parameter uncertainties and external disturbances, which degrade position tracking accuracy and control robustness.
Lizhen Liu, Meizhen Liu, Lixin Wang, Qiang Li, Nur Syazreen Ahmad   +4 more
doaj   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source