Results 131 to 140 of about 8,190 (293)

Phase‐Resolved Dual Control of Phenol Photodissociation at the Air–Water Interface From Structure‐Resolved Statistics

Advanced Science, EarlyView.
Faster phenol photolysis at the air–water interface arises from two cooperative factors: a more favorable initial microenvironment for solvent‐side electron stabilization, which lowers CI access, and a more labile hydrogen‐bond network, which more readily reorganizes to stabilize the dark‐state intermediate.
Qiang Yin, Jialing Shi, Jinping Zhao, Chengjun Li, Yongbo Xie, Benkun Tan, Da Wang, Ziyun Wang, Yu Mao   +8 more
wiley   +1 more source

A New Hybrid Reference Vector and Grid-Based Evolutionary Algorithm for Dynamic Many-Objective Optimization

IEEE Access
Dynamic many-objective optimization problems (DMaOPs) are a class of problems involving more than three objectives. Their objective functions, search space, or constraints may change over time. Dynamic many-objective evolutionary algorithms (DMaOEAs) are
Adamo Henrique Rocha De Oliveira, Gideon Villar Leandro   +1 more
doaj   +1 more source

On the penalization by the perimeter in shape optimization applied to Dirichlet inverse obstacle problem

ESAIM: Control, Optimisation and Calculus of Variations
This paper is devoted to the understanding of regularization process in the shape optimization approach to the so-called Dirichlet inverse obstacle problem for elliptic operators. More precisely, we study two different regularizations of the very classical shape optimization approach consisting in minimizing a mismatched functional.
Caubet, Fabien, Dambrine, Marc, Dardé, Jérémi   +2 more
openaire   +3 more sources

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

Robust Beamforming Design for RSMA-ISAC Systems Oriented to Multi-Target Sensing

Tongxin xuebao
To address the degradation of beamforming performance caused by spectrum scarcity and imperfect channel state information in 6G systems, a robust beamforming design method is proposed for rate-splitting multiple access (RSMA)-assisted integrated sensing ...
Dong Ying, Jiang Zunhuan, Tang Honggang, Wang Chunyue   +3 more
doaj  

Bioinspired Passive Flow Routing to Mitigate Thrombosis in Prosthetic Heart Valves and Cardiovascular Devices

Advanced Science, EarlyView.
Bioinspired passive flow routing mitigates thrombosis in cardiovascular devices by redirecting a small fraction of forward flow into stagnation‐prone regions. Inspired by avian alula and aircraft slat mechanisms, strategically placed routing channels restore washout around mechanical heart valves, reducing low‐shear exposure by four orders of magnitude
Yevgeniy Kreinin, Mark Epshtein, Yahel Talmon, Tirosh Mekler, Itay Or, Mahli Raad, Gil Bolotin, Josué Sznitman, Netanel Korin   +8 more
wiley   +1 more source

A semi-Lagrangian scheme for Lp-penalized minimum time problems [PDF]

, 2014
International audienceIn this paper we consider a semi-Lagrangian scheme for minimum time problems with Lp-penalization. The minimum time function of the penalized control problem can be characterized as the solution of a Hamilton-Jacobi Bellman (HJB)
Falcone, Maurizio, Kalise, Dante, Kröner, Axel   +2 more
core   +3 more sources

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

Advanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui, Dejia Wen, Patrick Yu‐Wai‐Man, Xiaorong Li   +3 more
wiley   +1 more source

Unbalanced penalization: a new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms

Quantum Science and Technology
Abstract Solving combinatorial optimization problems of the kind that can be codified by quadratic unconstrained binary optimization (QUBO) is a promising application of quantum computation. Some problems of this class suitable for practical applications such as the traveling salesman problem (TSP), the bin packing problem (BPP), or the ...
Montanez-Barrera, Jhon Alejandro, Willsch, Dennis, Maldonado-Romo, A., Michielsen, Kristel   +3 more
openaire   +4 more sources