2+ mon, 2+ week ago  (142+ words) This figure contrasts original and denoised central horizontal profile curves for different particle numbers. Original low-particle curves display large fluctuations and jagged patterns due to noise; after denoising, curves become significantly smoother. Discrepancies are only noticeable in high-gradient areas (e. g. , dose…...

1+ week, 3+ hour ago  (178+ words) image: Figure 1: The overall publication status of each basin. (a) total number of publications in each basin; (b) temporal trends in publications across the basins. view more In a study published in Fundamental Researchby a team of researchers led by Professor Chiyuan…...

7+ mon, 1+ week ago  (294+ words) Observing the role of enthalpy and entropy in formation of mxene nanomaterials sets parameters necessary for AI-guided design Credit: Devynn Leatherman-May, Brian C. Wyatt, and Babak Anasori, Purdue University. While researchers have used machine learning and computer modeling for decades to…...

2+ mon, 1+ week ago  (117+ words) In the experiment, two novel high-entropy rare earth disilicates'with excellent resistance to CMAS corrosion are synthesized. The influence mechanism of chemical composition and temperature on their properties is revealed, and the corrosion life is predicted using an extended Kalman filter…...

4+ week, 2+ hour ago  (620+ words) image: Dr Matthew Stephenson, Senior Lecturer in Computer Science, College of Science and Engineering, Flinders University view more For the first time, an international research team has harnessed artificial intelligence (AI) to decode the rules of an ancient board game,…...

11+ mon, 1+ week ago  (149+ words) University of Edinburgh scientists have harnessed the power of AI in a new tool that promises to speed up analysis of data from gel electrophoresis experiments. The technique is widely used across biological sciences to separate and analyse biomolecules and…...

1+ mon, 1+ week ago  (370+ words) Credit: Di Zhang et al. Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University researchers have highlighted how large AI models are redefining…...

8+ mon, 1+ week ago  (142+ words) Credit: Professor TANIIKE Toshiaki from JAIST. Advances in machine learning and computational modeling have revolutionized materials design by enabling researchers to predict, optimize, and discover advanced materials far more efficiently than what is achieved via traditional experimental methods alone. Breaking…...

11+ mon, 3+ week ago  (748+ words) Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones Credit: Courtesy of the researchers CAMBRIDGE, MA " MIT researchers have created a periodic table that shows how more than…...

5+ mon, 2+ week ago  (180+ words) The review outlines how machine learning accelerates the discovery and design of 2 D materials for electrocatalytic reactions, identifying key descriptors and mechanisms that drive performance improvements for sustainable energy conversion. Credit: Chenchen Qi et al. , China University of Petroleum (East…...