Results 261 to 270 of about 3,652,664 (303)

CVD Grown Hybrid MoSe2–WSe2 Lateral/Vertical Heterostructures With Strong Interlayer Exciton Emission

Advanced Materials, EarlyView.
A scalable bottom‐up CVD methodology, based on liquid transition metal salt precursors, is presented for the controlled growth of two high‐quality MoSe2–WSe2 heterostructures (HSs): purely lateral (HS I) and hybrid lateral/vertical (HS II), by simply adjusting precursor concentration.
Md Tarik Hossain, Sai Shradha, Axel Printschler, Julian Picker, Luc F. Oswald, Julian Führer, Nicole Engel, Honey Jayeshkumar Shah, Christof Neumann, Daria I. Markina, Moritz Quincke, Johannes Biskupek, Kenji Watanabe, Takashi Taniguchi, Ute Kaiser, Bernhard Urbaszek, Andrey Turchanin   +16 more
wiley   +1 more source

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

Advanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao, Yiyuan Zhang, Liqiu Wang, Alan C. H. Tsang   +3 more
wiley   +1 more source

From Fiber Bundles to Architected Membranes: Triply Periodic Minimal Surface Architectures for Biohybrid Artificial Lungs

Advanced Materials, EarlyView.
Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum, Kai P. Barbian, Florian Neuhaus, Gerrit Sitarz, Carolin Nölke, Sebastian V. Jansen, John Linkhorst, Lukas T. Hirschwald, Sebastian Brosch, Christian Certa, Ulrich Steinseifer, Matthias Wessling, Jutta Arens, Arjang Ruhparwar, Bettina Wiegmann   +14 more
wiley   +1 more source

Resolving Nanoscale Heterogeneities in Lead Halide Perovskites Through Low‐Dose Concurrent 4D‐STEM‐EDX Mapping

Advanced Materials, EarlyView.
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu, Alexandra A. Sheader, Mohsen Danaie, David G. Hopkinson, Katherine E. MacArthur, Nakita K. Noel, Christopher S. Allen   +6 more
wiley   +1 more source

Hydrophobic MFI‐Type Zeolites via Alkali‐Cation‐Induced Defect Healing: Implications for Adsorbent and Catalyst Design

Advanced Materials, EarlyView.
Sub‐stoichiometric amounts of Na+ or K+ enhance defect healing during Silicalite‐1 (MFI) and TS‐1 calcination by promoting Si–O–Si annealing and healing framework vacancies. The resulting defect‐free zeolites are more hydrophobic and show improved butanol/water separation and improved activity and selectivity in the epoxidation of 1‐hexene, offering a ...
Christos Kanteler, Pau Ferri, Francisco Javier Escobar‐Bedia, Álvaro Mayoral, Alejandro Vidal‐Moya, Richard Kendra, Chen Lei, Miguel Palomino, Fernando Rey, Lukáš Grajciar, Christopher James Heard, Pedro Serna, Mercedes Boronat, Cristina Martínez, Manuel Moliner   +14 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

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Attention-Based Interrelation Modeling for Explainable Automated Driving

IEEE Transactions on Intelligent Vehicles, 2023
Automated driving desires better performance on tasks like motion planning and interacting with pedestrians in mixed-traffic environments. Deep learning algorithms can achieve high performance in these tasks with remarkable visual scene understanding and
Zheng-Ming Zhang, Renran Tian, Rini Sherony, Joshua E. Domeyer, Zhengming Ding   +4 more
semanticscholar   +1 more source

Collaborative Dynamic 3D Scene Graphs for Automated Driving

IEEE International Conference on Robotics and Automation, 2023
Maps have played an indispensable role in enabling safe and automated driving. Although there have been many advances on different fronts ranging from SLAM to semantics, building an actionable hierarchical semantic representation of urban dynamic scenes ...
E. Greve, Martin Buchner, Niclas Vodisch, Wolfram Burgard, Abhinav Valada   +4 more
semanticscholar   +1 more source

The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review

IEEE Transactions on Intelligent Vehicles, 2023
Automated driving has the potential to revolutionize personal, public, and freight mobility. Beside accurately perceiving the environment, automated vehicles must plan a safe, comfortable, and efficient motion trajectory.
Steffen Hagedorn, Marcel Hallgarten, M. Stoll, A. Condurache   +3 more
semanticscholar   +1 more source

Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review.

Accident Analysis and Prevention, 2023
Automated Driving Systems (ADS) (SAE, 2021), promise improved safety and comfort for drivers. Current technological advances have resulted in increased automation capabilities.
A. Hungund, Anuj Kumar Pradhan
semanticscholar   +1 more source