Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the scientists can identify which properties correspond to the best catalytic performance, and then use that information to guide the design of more efficient catalysts.... PHYS.ORG · 3 weeks
Machine-learning analysis of X-ray data picks out key catalytic properties  SCIENCE DAILY · 3 weeks
Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using... more
Machine learning-assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials  Science Magazine · 4 days
In the process of finding high-performance materials for organic photovoltaics (OPVs), it is meaningful if one can establish the relationship between chemical structures and... more
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XenonPy.MDL: A comprehensive library of pre-trained models for materials properties  PHYS.ORG · 7 days
A joint research group consisting of the Institute of Statistical Mathematics (ISM) and the National Institute for Materials Science (NIMS) has developed approximately 140,000 machine learning models capable... more
Big data provide opportunity for research, drive learning at the healthcare system level  NEWS MEDICAL · 4 days
ISPOR, the professional society for health economics and outcomes research-;held its third plenary session at ISPOR Europe 2019, "Big Data Healthcare: Endless... more
Cryptography without using secret keys  PHYS.ORG · 4 weeks
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A sulfur-tethering synthesis strategy toward high-loading atomically dispersed noble metal catalysts  Science Magazine · 3 weeks
Metals often exhibit robust catalytic activity and specific selectivity when downsized into subnanoscale clusters and even atomic dispersion owing to the high atom utilization and unique... more
Chandra Sheds New Light on Tycho’s Supernova Remnant  SCI-NEWS.COM · 3 weeks
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Chemists' surprising discovery of nanoconfined reactions could aid catalytic design  SCIENCE DAILY · 6 days
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Learning is optimized when we fail 15% of the time  SCIENCE DAILY · 7 days
If you're always scoring 100%, you're probably not learning anything new. Research found that the 'sweet spot' for learning is 85%. more
Chemists' surprising discovery of nanoconfined reactions could aid catalytic design  PHYS.ORG · 6 days
Georgia State University chemistry researchers have unlocked one of the mysteries of catalytic reactions on a microscopic scale, allowing for the design of more efficient industrial processes. more
Machine learning tool refines personalized immunotherapy  SCIENCE DAILY · 4 weeks
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Diffuse X-ray emission detected around the ultraluminous X-ray pulsar NGC 5907 ULX-1  PHYS.ORG · 7 days
Using NASA's Chandra spacecraft, European astronomers have detected a diffuse X-ray emission around an ultraluminous X-ray pulsar in the galaxy NGC 5907. The newly... more
Astronomers observe blazar S5 0836+710 during high activity period, detect two gamma-ray flares  PHYS.ORG · 2 weeks
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Machine learning shows no difference in angina symptoms between men and women  MIT · 6 days
Finding could help overturn the prevailing notion that men and women experience angina differently. more
Sydney lockout laws review highlights vital role of transparent data analysis  PHYS.ORG · 2 weeks
The New South Wales Bureau of Crime Statistics and Research (BOCSAR) recently claimed Sydney's alcohol licensing regulations, commonly known as lockout laws, reduced non-domestic assaults by 13% in... more
Advancements in the use of AI in Oncology explored at Cleveland  NEWS MEDICAL · 4 weeks
Artificial Intelligence, machine learning and smart computing are all rapidly transforming the global health and medical landscape, including at Case Western Reserve University and among its... more
Machine learning enhances light-beam performance at the advanced light source  PHYS.ORG · 4 days
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AI could offer warnings about serious side effects of drug-drug interactions  SCIENCE DAILY · 4 weeks
Researchers have developed a machine learning system that may be able to warn doctors and patients about possible negative side effects that might occur when drugs... more
Four decades of data sounds early warning on Lake George, NY  SCIENCE DAILY · 2 weeks
Although concentrations of chemicals and pollutants like salt and nutrients have increased in the deep waters of Lake George, they're still too low to harm the... more
Deep learning method transforms shapes  SCIENCE DAILY · 4 weeks
Called LOGAN, the deep neural network, i.e., a machine of sorts, can learn to transform the shapes of two different objects, for example, a chair and a table, in a natural way, without seeing any paired transforms between... more
Historical data confirms recent increase in West Texas earthquakes  SCIENCE DAILY · 1 week
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Faith, truth and forgiveness: How your brain processes abstract thoughts  SCIENCE DAILY · 2 weeks
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Thyroid nodules are small lumps that form within the thyroid gland and are quite common in the general population, with a prevalence as high... more
Photosynthesis seen in a new light by rapid X-ray pulses  SCIENCE DAILY · 19 hours
Researchers investigated the structure of Photosystem I (PSI) with ultrashort X-ray pulses. more
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