Results 131 to 140 of about 215,150 (354)

Fault tree analysis and artificial neural network modelling for establishing a predictive ship machinery maintenance methodology [PDF]

, 2017
A dynamic fault tree model for a ship main engine is developed in order to analyse and identify critical systems/components of the main engine. The identified most critical systems are then used as input in an artificial neural network. An autoregressive
Lazakis, I, Raptodimos, Y
core  

Conformally Perforated Shellular Metamaterials with Tunable Thermomechanical and Acoustic Properties

Advanced Functional Materials, EarlyView.
This study introduces Conformally Perforated Shellular Metamaterials (CPSMs), which overcome TPMS design limitations by mapping 2D cellular layouts onto 3D surfaces. CPSMs exhibit enhanced elastic stiffness, thermal conductivity, and acoustic performance compared to intact P‐type shellulars, demonstrating their potential as multifunctional ...
Benyamin Shahryari, Armin Mirabolghasemi, Shahin Eskandari, Xin Chen, Jean‐François Deü, Roger Ohayon, Atef Mohany, Alex Kalamkarov, Abdolhamid Akbarzadeh   +8 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

PL-MODT and PL-MODMC : two codes for reliability and availability analysis of complex technical systems using the fault tree modularization technique [PDF]

, 1978
"November 1978."Includes bibliographical referencesThe methodology used in the PL-MOD code has been extended to include the time-dependent behavior of the fault tree components.
Modarres, M. (Mohammad), Wolf, Lothar
core  

Near‐Field Optical Detection of Defect‐Stabilized Metallic Islands at the Verwey Transition in Fe3O4

Advanced Functional Materials, EarlyView.
Nanoscale metallic islands emerging across the Verwey transition in thin films of Fe3O4 are imaged using near‐field optical microscopy from mid‐infrared to terahertz frequencies. Recurring across thermal cycles, these disorder‐stabilized islands exhibit distinct transition temperatures.
Kajal Tiwari, Mostafa Ibrahim Shehata Marzouk, Ke Xiao, Malleswararao Tangi, Stuart Stephen Papworth Parkin   +4 more
wiley   +1 more source

Safety verification of ADA programs in MURPHY [PDF]

, 1987
MURPHY is a experimental methodology, which will include an integrated tool set, for building safety-critical, real-time software. Although it is language independent, many safety-critical software projects are currently planning to use Ada.
Cha, Stephen S., Leveson, Nancy G., Shimeall, Timothy J.   +2 more
core  

Near‐Infrared Emitting Lanthanide Catecholate Giant Single Crystals – Morphology Control and Photon Down‐Conversion

Advanced Functional Materials, EarlyView.
Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr, Alexander Biewald, Andre Mähringer, Thaddäus J. Koller, Peter Mayer, Markus Döblinger, Achim Hartschuh, Dana D. Medina   +7 more
wiley   +1 more source

Emergence of Local Magnetic Moment in Ternary TaWSe2 Single Crystal via Atomic Clustering

Advanced Functional Materials, EarlyView.
This study investigates local magnetic moments in ternary TaWSe2. Triangular Ta clusters with consistent shapes are identified through STM/S, and DFT calculations. These clusters induce localized strain, generating magnetic moments at the cluster corners. Magnetic measurements confirm a magnetic anomaly at ∼50 K.
Nguyen Huu Lam, Md Nurul Huda, Kisung Kang, Jae‐Hyeok Ko, Zheng Gai, Yeong Gwang Khim, Young Jun Chang, Youngsu Choi, Kwang‐Yong Choi, Ganbat Duvjir, Nguyen‐Hoang Dang, Aloysius Soon, Jewook Park, Jungdae Kim   +13 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source