Results 51 to 60 of about 33,642 (262)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Predicting Australian energy demand variability using weather data and machine learning

Environmental Research Letters
Managing energy systems requires understanding the variability of energy demand, which on daily timescales is driven primarily by the weather. Historical records of demand typically cover 1–2 decades which may be too short to capture the range of ...
Doug Richardson, Sanaa Hobeichi, Lily-belle Sweet, Elona Rey-Costa, Gab Abramowitz, Andrew J Pitman   +5 more
doaj   +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

On the Robustness of Annual Daily Precipitation Maxima Estimates Over Monsoon Asia

Frontiers in Climate, 2020
Understanding precipitation extremes over Monsoon Asia is vital for water resource management and hazard mitigation, but there are many gaps and uncertainties in observations in this region.
Phuong-Loan Nguyen, Margot Bador, Lisa V. Alexander, Todd P. Lane, Chris C. Funk, Chris C. Funk   +5 more
doaj   +1 more source

Polyphenol‐Inspired Materials for Agricultural Applications

Advanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu, Omid Mazaheri, Zhixing Lin, Tianzheng Wang, Jingqu Chen, Yuang Gu, Xia Liang, Deli Chen, Frank Caruso   +8 more
wiley   +1 more source

Extreme events in the context of climate change

Public Health Research & Practice, 2018
By definition, extreme events are rare. Socio-economic and human systems have not experienced adverse extreme events frequently enough to develop resilience, whether this be physical, economical or structural.
Sarah Perkins-Kirkpatrick, Andy Pitman
doaj   +1 more source

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Inductively Expandable Supraparticles as Microscopic Force Generators for Remote Mechanical Actuation

Advanced Materials, EarlyView.
This study demonstrates the combination of magnetic nanoparticles and functional blowing agents into supraparticles. Upon induction heating, they actuate via rapid gas generation or extensive volume expansion. These supraparticles lift up to 25 000 times their own mass and rapidly open cured epoxy resins, providing a versatile strategy for fast micron ...
Leoni Luthardt, Stephan Müssig, Robert Luxenhofer, Karl Mandel   +3 more
wiley   +1 more source

Improving predictions of convective storm wind gusts through statistical post-processing of neural weather models

npj Natural Hazards
Issuing timely severe weather warnings helps mitigate potentially disastrous consequences. Recent advancements in Neural Weather Models (NWMs) offer a computationally inexpensive and fast approach for forecasting atmospheric environments on a 0.25 ...
Antoine Leclerc, Erwan Koch, Monika Feldmann, Daniele Nerini, Tom Beucler   +4 more
doaj   +1 more source

Assessing the soil moisture-precipitation feedback in Australia: CYGNSS observations

Environmental Research Letters, 2023
Previous modelling and case studies highlight the impacts of antecedent soil moisture on precipitation, showing the connection between the anomalous land surface and atmospheric conditions.
Hien X Bui, Yi-Xian Li, Steven C Sherwood, Kimberley J Reid, Dietmar Dommenget   +4 more
doaj   +1 more source