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eurekalert. org > news-releases > 1123453

New research brings machine'learning'based physics a step closer to solving real engineering challenges

4+ day, 15+ hour ago  (320+ words) A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these instabilities and overcoming one of the major obstacles faced when using machine…...

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eurekalert. org > news-releases > 1123248

Hybrid modeling strategy based on deep learning surrogate models enables accurate multi-objective optimization of iso-octanol oxidation

4+ day, 16+ hour ago  (513+ words) Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven approaches with chemical equations grounded in mass transfer, heat transfer, momentum transfer, and reaction engineering. By establishing a precise mechanistic model based on an Aspen…...

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eurekalert. org > news-releases > 1123174

Machine learning reveals how biochar can curb phosphorus pollution from farmland

5+ day, 10+ hour ago  (303+ words) Credit: Kamel M. Eltohamy, Mohamed Gaber Alashram, Ahmed Islam El Manawy, Daniel Menezes-Blackburn, Sangar Khan, Junwei Jin & Xinqiang Liang "Our goal was to move beyond trial and error and provide a reliable way to predict how biochar performs in different soils,…...

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eurekalert. org > news-releases > 1123134

Machine learning potentials for property predictions of two-dimensional group-III nitrides

5+ day, 13+ hour ago  (110+ words) Eurek Alert! Credit: HIGHER EDUCATION PRESS Two-dimensional Group-III nitrides (h-BN, h-Al N, h-Ga N, and h-In N) exhibit great promise for electronic and optoelectronic applications due to their hexagonal structures, thermal stability, and wide bandgaps. However, exploring their structure and performance…...

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eurekalert. org > multimedia > 1124026

Machine learning approach to predict adsorption capacity of Fe-modified biochar for selenium

6+ day, 14+ hour ago  (53+ words) Eurek Alert! Machine learning approach to predict adsorption capacity of Fe-modified biochar for selenium Habib Ullah, Sangar Khan & Baoliang Chen Carbon Research Editorial Office More on this News Release AI models forecast 'green' carbon's power to cleanse water of selenium...

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eurekalert. org > news-releases > 1122419

Ateneo robot explorers uncover Philippine islands" ancient technologies

1+ week, 4+ day ago  (340+ words) image: Dr. Alfred Pawlik showcases early stone tool artifacts, detailing archaeological evidence of the seafaring and hunting strategies used by the early inhabitants hundreds of thousands of years ago to thrive across the Philippine archipelago. view more Long before the…...

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eurekalert. org > news-releases > 1122534

Smart solutions for sustainable energy: Machine learning powers biochar production from aquatic biomass

1+ week, 3+ day ago  (634+ words) The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, necessitates innovative approaches to resource management. Biomass, a versatile renewable resource, offers significant potential for conversion into biochar, an alternative fuel and valuable carbon material. However,…...

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eurekalert. org > multimedia > 1121684

(IMAGE)

1+ week, 4+ day ago  (67+ words) eurekalert. org The International Telecommunication Union (ITU) will host the seventh AI for Good Global Summit from 7 to 10 July 2026 at Geneva's Palexpo convention centre, Switzerland. For use in related stories. Please use credit information. More on this News Release Gen've…...

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eurekalert. org > multimedia > 1122393

Artificial intelligence learns to make sense of childhood cancer survivors" health care needs

2+ week, 2+ day ago  (69+ words) [IMAGE]Eurek Alert! (L to R) Co-authors Kiri Ness, PT, Ph D, FAPTA, and Melissa Hudson, MD, with corresponding author I-Chan Huang, Ph D, all of the St. Jude Department of Epidemiology & Cancer Control. St. Jude Children's Research Hospital More on…...

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eurekalert. org > news-releases > 1121438

UCF researchers receive meta support to study motor learning in EMG-based interfaces

2+ week, 4+ day ago  (474+ words) Credit: Antoine Hart (University of Central Florida) UCF researchers are partnering with Meta Platforms Inc. to study how people learn to control digital systems using muscle signals, work that could improve human-computer interaction in virtual and augmented environments. "This Meta…...