Results 101 to 110 of about 72,882 (259)

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Designing the unplannable - architects and the lure of hierarchical order

Nordia Geographical Publications, 2005
This paper explores the change from idealized hierarchical model of urban structure to networked model and the interplay of two professions, architects and geographers.
Samuli Alppi
doaj  

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

Advanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung, Hanbin Cho, Yongwoo Lee, Seunghun Baek, Hyeongjun Kim, Yun Goo Ro, Hyunhyub Ko, Joonki Suh, Yong‐Young Noh, Jimin Kwon   +9 more
wiley   +1 more source

A Mechanistic Study of Bio‐Based Nanotemplated Carbon Nanofibers Derived From Water Processable Lignin Blends for Sustainable Energy Storage Applications

Advanced Materials, EarlyView.
As‐spun carbon materials produced from Lignosulfonate, gelatin, and alginate, selected for water solubility, and ability to produce templated sustainable carbon nanostructures. Gelatin and alginate are sacrificial during thermal processing, allowing the production of engineered high surface area nanostructures, which are further characterized for ...
Judith Miralda‐Jalle, Jamal El Haskouri, Shayon Bhattacharya, Anne Beaucamp, Tadhg Kennedy, Mario Culebras, Maurice N. Collins   +6 more
wiley   +1 more source

DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents

CoRR
Hierarchical Reinforcement Learning (HRL) agents often struggle with long-horizon visual planning due to their reliance on error-prone distance metrics. We propose Discrete Hierarchical Planning (DHP), a method that replaces continuous distance estimates with discrete reachability checks to evaluate subgoal feasibility.
Shashank Sharma, Janina Hoffmann, Vinay P. Namboodiri   +2 more
openaire   +2 more sources

Hierarchical Reinforcement Learning for Viewpoint Planning with Scalable Precision in UAV Inspection

Drones
Viewpoint planning is crucial to ensure both inspection efficiency and observation precision in UAV inspection tasks. To address the issues of excessive waypoints and inadequate observation precision in traditional methods, this paper proposes a ...
Hua Wu, Hao Li, Junwei Yu, Yanxiong Wu, Xiaojing Bai, Mengyang Pu, Li Sun, Yihuan Li, Juncheng Liu   +8 more
doaj   +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

Energy Demand Forecasting Through Coherent Scenarios of Production Activity of the Automotive Industry

IEEE Access
Electricity demand forecasting plays a crucial role in energy system planning and decision-making, especially in industrial contexts where economic conditions influence consumption uncertainty.
Robson Bruno Dutra Pereira, Andre Luiz Romano, Carlos Henrique Dos Santos, Lillian do Nascimento Gambi   +3 more
doaj   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Hierarchical Multi-UAV Path Planning for Urban Low Altitude Environments

IEEE Access
Aiming at the demand of multi-UAV missions in urban low-altitude environment, combined with the concept of low-altitude economy, the urban environment is divided into multiple layers in the vertical direction to accomplish path planning.
Haoxiang Lei, Yuehao Yan, Jilong Liu, Qiang Han, Zhouguan Li   +4 more
doaj   +1 more source