Results 61 to 70 of about 37,610,272 (251)

DEVELOPMENT OF MIDDLEWARE FOR DATA-CENTRIC DIGITAL TWIN OF ADDITIVE MANUFACTURING

, 2023
Additive Manufacturing (AM) is a process of the production, by using layer-by-layer method and different metals/alloys and polymers. Despite the various technological and other opportunities of production, one of the challenges is a Big Data issue in ...
Shaimergenova, Karina
core   +1 more source

Digital Twin–enabled predictive maintenance in wind, solar PV, hydropower, and battery energy storage systems: a review and maturity framework

Energy Conversion and Management: X
The rapid digital transformation of energy systems is reshaping how renewable energy assets are monitored, maintained, and optimized across their operational lifecycles.
Mohamad Fani Sulaima, Ashwini Kumar Pradhan, Radim Lenort, Robert Frischer, Ondrej Krejcar, Hamidreza Namazi   +5 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Data management for developing digital twin ontology model [PDF]

, 2020
Digital Twin (DT) is the imitation of the real world product, process or system. Digital Twin is the ideal solution for data-driven optimisations in different phases of the product lifecycle.
Higgins, Nigel, Shehab, Essam, Singh, Sumit, Erkoyuncu, John Ahmet, Gadd, Peter, Fowler, Kevin, Reynolds, Dylan   +6 more
core   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Ferrocene‐Based Self‐Assembled Monolayers Enable Ultra‐High Specific Detectivity in Perovskite Photodetectors

Advanced Materials, EarlyView.
We report perovskite photodetectors with record specific detectivities exceeding 1013 Jones with a novel molecular design strategy to functionalize self‐assembled monolayers (SAMs) with ferrocene (Fc) derivatives. Fc‐SAM‐based devices also exhibit strong operational stability and enable data transmission rates exceeding 1 Mbps in a LiFi system ...
Edoardo Angela, William D. J. Tremlett, Francesco Vanin, William J. O. Rodriguez Kazeem, Zhuoran Qiao, Davide Nodari, Francesco Furlan, Zonglong Zhu, Martyn A. McLachlan, Nicholas J. Long, Nicola Gasparini   +10 more
wiley   +1 more source

Digital Twins in the Architectural Design Stage for Sustainable Net-Zero Buildings: A Systematic Review of Frameworks, Tools and Research Gaps

Buildings
Early architectural decisions shape building energy demand and life cycle carbon, yet digital support remains fragmented across modelling, simulation and performance workflows.
Adiba Shafique, Mohammad Tahir, Nazish Abid, Mohammad Zulfeequar Alam, Mazharul Haque   +4 more
doaj   +1 more source

Advanced Digital Twin Framework for Electric Truck

, 2023
Publisher Copyright: © 2023 IEEE.This paper introduces an advanced digital twin (DT) framework for electric truck, which consists of a universal multi-layer DT architecture and multi-disciplinary AVL software suites. The proposed DT framework can realize
Xenakis, Leo, Glensvig, Michael, Koegeler, Hans Michael, Hegazy, Omar, Wilkins, Steven, Tran, Duong, Medina, Robinson, Pardhi, Shantanu, Makazaga, Iban Vicente, Duong Tran   +9 more
core   +1 more source

Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching

Advanced Materials, EarlyView.
By thinning the oxide layer, memristors pass from diode‐like and battery‐effect‐dominated behavior toward eventual short‐circuit failure. Within the intermediate 5–6 nm window, they reach a near‐ideal analog area‐type switching regime, featuring symmetric hysteresis, area‐dependent conductance, and continuous linear programming of HRS and LRS with ...
Cuo Wu, Junjie Zhao, Richard Schroedter, Jason Vincent, Hampus Hoffman, Leif Riemenschneider, Abdallh Herbawe, Hao Shen, Ronald Tetzlaff, Stefan Slesazeck, Gianaurelio Cuniberti, Thomas Mikolajick, Benjamin Max   +12 more
wiley   +1 more source

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

Advanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick, Ariel Lifer, Catherine Beaumont, Liad Hayoun, Priscila Cavassin, Zeinab Hamid, Dilara Meli, William Dupont, Lincoln J. Lauhon, Iain McCulloch, Gitti L. Frey, Giovanni Maria Matrone, Jonathan Rivnay   +12 more
wiley   +1 more source