Results 321 to 330 of about 11,928,939 (371)

Charting electronic-state manifolds across molecules with multi-state learning and gap-driven dynamics via efficient and robust active learning. [PDF]

NPJ Comput Mater
Martyka M, Zhang L, Ge F, Hou YF, Jankowska J, Barbatti M, Dral PO.   +6 more
europepmc   +1 more source

Human Active Learning

, 2019
openaire   +3 more sources

Mastering Proton Activities in Aqueous Batteries

Advanced Materials, EarlyView.
Advanced aqueous batteries are promising alternatives for grid energy storage. Understanding and mastering the proton activities in aqueous electrolytes will guide the design of sustainable and long‐lasting aqueous batteries. This Perspective comments on the current understanding of the thermodynamic and kinetic perspectives of proton activities and ...
Leiting Zhang, Chao Zhang, Erik J. Berg
wiley   +1 more source

Utilizing active learning and attention-CNN to classify vegetation based on UAV multispectral data. [PDF]

Sci Rep
Miao S, Wang C, Kong G, Yuan X, Shen X, Liu C.   +5 more
europepmc   +1 more source

Pushing Radiative Cooling Technology to Real Applications

Advanced Materials, EarlyView.
Radiative cooling controls surface optical properties for solar and thermal radiation, offering solutions for global warming and energy savings. Despite significant advances, key challenges remain: optimizing optical efficiency, maintaining aesthetics, preventing overcooling, enhancing durability, and enabling scalable production.
Chongjia Lin, Keqiao Li, Meng Li, Benjamin Dopphoopha, Jiongzhi Zheng, Jiazheng Wang, Shanshan Du, Yang Li, Baoling Huang   +8 more
wiley   +1 more source

From shadowing to active learning: exploring the impact of supervised teaching clinics on gynecology education. [PDF]

Front Med (Lausanne)
Ren S, Zhan H, Fernando A, Xu X, Lu W.
europepmc   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

Advanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach, Aysu Yurdusen, Norbert Stock, Guillaume Maurin, Christian Serre   +4 more
wiley   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

Factors that hinder critical thinking and their resolution: Is active learning the key? [PDF]

Pak J Med Sci
Takeuchi A, Jin S, Murakami M, Matoba K.
europepmc   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source