Results 31 to 40 of about 9,369 (262)

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

Error Compensation Enhanced Day-Ahead Electricity Price Forecasting

Energies, 2022
The evolution of electricity markets has led to increasingly complex energy trading dynamics and the integration of renewable energy sources as well as the influence of several external market factors contributed towards price volatility.
Dimitrios Kontogiannis, Dimitrios Bargiotas, Aspassia Daskalopulu, Athanasios Ioannis Arvanitidis, Lefteri H. Tsoukalas   +4 more
doaj   +1 more source

Spectral Reconstruction Using Broadband Inkjet‐Printed Optical Filters

Advanced Optical Materials, EarlyView.
A proof‐of‐concept for a reconstructive spectrometer based on inkjet‐printed interferometric optical filters is demonstrated. Through adaptive encoding and robust post‐processing algorithms, spectral reconstruction is achieved over a 400 nm visible bandwidth at a fraction of the cost and complexity of typical encoders while maintaining high optical ...
Leonardo Baini, Qihao Jin, Qiaoshuang Zhang, Guillaume Gomard, Uli Lemmer, Paolo Bartolini, Andrea Taschin, Diederik S. Wiersma, Renato Torre, Alice Boschetti   +9 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

A posteriori error estimation for model order reduction of parametric systems

Advanced Modeling and Simulation in Engineering Sciences
This survey discusses a posteriori error estimation for model order reduction of parametric systems, including linear and nonlinear, time-dependent and steady systems.
Lihong Feng, Sridhar Chellappa, Peter Benner   +2 more
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Numerical solution and errors analysis of iterative method for a nonlinear plate bending problem

Results in Applied Mathematics
This paper uses the HCT finite element method and mesh adaptation technology to solve the nonlinear plate bending problem and conducts error analysis on the iterative method, including a priori and a posteriori error estimates. Our investigation exploits
Akakpo Amoussou Wilfried, Houédanou Koffi Wilfrid   +1 more
doaj   +1 more source

A Posteriori Error Estimates for DDDAS Inference Problems

Procedia Computer Science, 2014
AbstractInference problems in dynamically data-driven application systems use physical measurements along with a physical model to estimate the parameters or state of a physical system. Errors in measurements and uncertainties in the model lead to inaccurate inference results. This work develops a methodology to estimate the impact of various errors on
Rao, V., Sandu, Adrian
openaire   +2 more sources

Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia

Advanced Science, EarlyView.
The gut microbiota organizes into two robust association patterns linked to colorectal neoplasia risk. Topological shifts in microbial networks are associated with metabolite alterations and may shape host responses during disease development. ABSTRACT Alterations of gut microbial communities impact health.
Kai Song, Youwen Qin, Jiahui Luo, Liping Liu, Chenyu Luo, Yinbin Qiu, Yiyi Zhong, Huanzi Zhong, Kui Wu, Meng Ni, Dong Wu, Min Dai, Shida Zhu, Hongda Chen   +13 more
wiley   +1 more source

Channel Estimation and Data Detection in the Presence of Phase Noise in MIMO-OFDM Systems With Independent Oscillators

IEEE Access, 2017
In this paper, we propose the mitigating scheme to reduce the effects of phase noise in multi-input multi-output-orthogonal frequency division multiplexing system with independent oscillator in each RF chain.
Tae-Jun Lee, Young-Chai Ko
doaj   +1 more source