Results 61 to 70 of about 4,149,746 (288)

Multidisciplinary Design Optimization for the Conceptual Design of Supersonic Civil Aircraft Based on Full-Carpet Sonic Boom/Aerodynamic Characteristics Employing Differential Evolution

Aerospace
Reducing the sonic boom intensity and increasing the cruise lift-to-drag ratio are pivotal technologies for the successful development of supersonic civil aircraft.
Yuyu Duan, Chonweng Wan, Runze Li, Haixin Chen   +3 more
doaj   +1 more source

Hydroelastic optimization of a keel fin of a sailing boat: a multidisciplinary robust formulation for ship design [PDF]

, 2012
The paper presents a formulation for multidisciplinary design optimization of vessels, subject to uncertain operating conditions. The formulation couples the multidisciplinary design analysis with the Bayesian approach to decision problems affected by ...
G.Fasano, D.Peri, FASANO, Giovanni, M.Diez, E. F. Campana, M. Diez, E.F.Campana, D. Peri   +7 more
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Second-order cone programming formulations for a class of problems in structural optimization

, 2010
This paper provides efficient and easy to implement formulations for two problems in structural optimization as second-order cone programming (SOCP) problems based on the minimum compliance method and derived using the principle of complementary energy ...
Makrodimopoulos, A., Keane, A.J., Bhaskar, A.   +2 more
core   +1 more source

A surrogate based multistage-multilevel optimization procedure for multidisciplinary design optimization [PDF]

, 2011
Optimization procedure is one of the key techniques to address the computational and organizational complexities of multidisciplinary design optimization (MDO).
Ouyang, Q. (author), Xiaoqian Chen, Wen Yao, Yao, W., Van Tooren, M., Yao, W. (author), Ouyang, Q., Chen, X., Van Tooren, M. (author), Chen, X. (author), Qi Ouyang, Michel van Tooren   +11 more
core   +2 more sources

Chemical Strategies for Multistimuli Responsive Dynamic Covalent Materials in Regenerative Medicine

Advanced Healthcare Materials, EarlyView.
Multistimuli responsive dynamic covalent materials integrate reversible chemistry with the complex chemical, mechanical, and biochemical cues of regenerative environments. This review highlights chemical strategies based on orthogonal dynamic bonds, multicomponent networks, and hierarchical architectures to regulate mechanics, degradation, and ...
Saurabh Joshi, Matthew B. Baker, Dominik Schauenburg   +2 more
wiley   +1 more source

The Processual Programming Essentials – Criticism and New Options [PDF]

Theoretical and Applied Economics, 2008
The Process Programming Basics: Priorities, Heuristic or Genetic Algorithms? This paper analyzes methods to optimize process programming, starting with the heuristic algorithms, then reviewing the current method previously advanced by the authors, the ...
Ion Gh. Rosca, George Moldoveanu, Octavian Thor Pleter, Cosmin Dobrin   +3 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

Polymeric Sorbents as Energy‐Efficient Alternative to Cryogenic Distillation for Light Hydrocarbon Purification

Advanced Materials, EarlyView.
The transition from cryogenic distillation to polymeric sorbents for light hydrocarbon purification is crucial for energy and environmental sustainability. The polymeric sorbents are engineered to separate gas mixtures based on their specific properties.
Kelechi Festus, Ankit Mondal, Suman Mandal, Jazmine Aiya D. Marquez, Arnab Ghosh, Aishi Sikdar, Urme Podder, Ahana Sarkar, Qingsheng Wang, Hong‐Cai Zhou   +9 more
wiley   +1 more source