Results 151 to 160 of about 3,684,192 (295)

Designing an ecofriendly catalyst for a sustainable use of water resources. [PDF]

Natl Sci Rev
Qiu D, Zhang X, Tian F, Liu Y, He F, Yan X, Wei S, Mergny JL, Monchaud D, Zhang S, Ju H, Zhou J.   +11 more
europepmc   +1 more source

Water Resouces Review - February 1995 Vol 8 No 1 [PDF]

, 1995
Annis Water Resources Institute
core   +2 more sources

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Modeling a geologically complex volcanic watershed for integrated water resources management in Mt. Fuji, Japan. [PDF]

Sci Data
Musy SL, Dresmann H, Tomonaga Y, Sano Y, Schilling OS.   +4 more
europepmc   +1 more source

Water Resources Review - June 1991 Vol 4 No 2 [PDF]

, 1991
Annis Water Resources Institute
core   +1 more source

Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks

Advanced Functional Materials, EarlyView.
In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger, Aamod V. Desai, Hau Lam Jody Cheong, Louise L. Major, Terry K. Smith, Aaron B. Naden, Jane Hilton, Catherine S. Adamson, A. Robert Armstrong, Russell E. Morris   +9 more
wiley   +1 more source

Resilience assessment and spatiotemporal evolution analysis of water resources system in the provinces along the Yellow River. [PDF]

Sci Rep
Wan F, Kang Y, Wang Y, Wang W, Guo H, Zhao P, Zhao J, Zhou Z, Li M.   +8 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Evaluation of water resources carrying capacity in Ordos city based on the Game Theory-Topsis-Grey Prediction coupling model. [PDF]

Sci Rep
Zhao Y, Yin H, Zhang W, Yan J, An J, Zhang Z, Wu Y, Hu W, Lai H, Wang F, Feng K.   +10 more
europepmc   +1 more source

Water Resources Review - October 1996 Vol 9 No 2 [PDF]

, 1996
Annis Water Resources Institute
core   +1 more source