Results 51 to 60 of about 2,720,740 (309)

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

Adapting the community sector for climate extremes [PDF]

open access: yes, 2013
 People experiencing poverty and inequality will be affected first and worst by the impacts of climate change to infrastructure and human settlements, including those caused by increasingly frequent and intense extreme weather events and natural ...
Karl Mallon   +4 more
core  

Reflections on a Century of Extreme Heat Event‐Related Mortality Reporting in Canada

open access: yesGeoHealth
Climate change is causing more frequent and severe extreme heat events (EHEs) in Canada, resulting in significant loss of life. However, patterns across mortality reporting for historical EHEs have not been analyzed.
Liv Yoon   +2 more
doaj   +1 more source

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

open access: yesAdvanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng   +7 more
wiley   +1 more source

Adapting to climate risks and extreme weather: guide for mining - minerals industry professionals [PDF]

open access: yes, 2013
Extreme weather events in Australia over recent years have highlighted the costs for Australian mining and mineral processing operations of being under-prepared for adapting to climate risk.
Leah Mason, Damien Giurco, Corinne Unger
core  

The synoptic drivers of extreme rainfall in South Africa [PDF]

open access: yes, 2013
A number of studies have shown an increase in the intensity of extreme rainfall over many regions of South Africa during the last 50 to 100 years. However, the weather of a region at any given time is a direct function of the synoptic state of the ...
Morison, David
core   +1 more source

Advancing SafeWax, A Bio‐Inspired Superhydrophobic Coating, Toward Sustainable and Climate‐Resilient Crop Protection

open access: yesAdvanced Functional Materials, EarlyView.
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie   +13 more
wiley   +1 more source

Be prepared: climate change and the Victorian bushfire threat [PDF]

open access: yes, 2014
Firefighters, emergency services and communities need to prepare for much greater bushfire risk from climate change, argues this report. Key findings 1.
Lesley Hughes
core  

Climate Extremes and Society [PDF]

open access: yesEos, Transactions American Geophysical Union, 2009
In October 2005, as the United States still was reeling from Hurricane Katrina in August and as the alphabet was too short to contain all of that year's named Atlantic tropical storms (Hurricane Wilma was forming near Jamaica), a timely workshop in Bermuda focused on climate extremes and society (see Eos, 87(3), 25, 17 January 2006). This edited volume,
openaire   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced 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   +3 more
wiley   +1 more source

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