Explore how machine learning helps in tracking the origins of minerals using spectral data.
Francesco Pappone, Federico Califano, Marco Tafani
― 7 min read
OpenMC proves effective for atomic transport calculations in nuclear fusion.
George J. Wilkie, Paul K. Romano, R. Michael Churchill
― 7 min read
Discover how light influences magnetism in metals through the inverse Faraday effect.
Shashi B. Mishra
― 5 min read
A fresh model for simulating partially ionized plasmas improves accuracy and efficiency.
G. Su, S. T. Millmore, X. Zhang
― 6 min read
Discover how temperature affects particle movement in colloids.
Rahul Chand, Ashutosh Shukla, Sneha Boby
― 5 min read
Discover the advances in quantum circuits and their applications in computing.
Hui Zhang, Chengran Yang, Wai-Keong Mok
― 5 min read
A look into random quantum circuits and their role in quantum computing.
James Allen, Daniel Belkin, Bryan K. Clark
― 5 min read
A look into how scientists simplify interactions in many-body systems.
Annabelle Canestraight, Zhen Huang, Vojtech Vlcek
― 6 min read
Scientists use data and simulations to speed up material discovery.
Mohnish Harwani, Juan C. Verduzco, Brian H. Lee
― 6 min read
A look into how polymer chains interact and form knots.
Maurice P. Schmitt, Sarah Wettermann, Kostas Ch. Daoulas
― 8 min read
Researchers tackle shock-interface challenges in fluid dynamics with new methods.
Yuqi Wang, Ralf Deiterding, Jianhan Liang
― 5 min read
These models are key for studying materials and their magnetic properties.
Aditya Dubey, Zeki Zeybek, Fabian Köhler
― 6 min read
Explore how magnetic fields interact with fluids in MHD.
Xi-Yuan Yin, Philipp Krah, Jean-Christophe Nave
― 5 min read
Scientists are using machine learning to study particle networks behavior and properties.
D. A. Head
― 6 min read
BabyIAXO aims to detect elusive axions and unravel cosmic mysteries.
S. Ahyoune, K. Altenmueller, I. Antolin
― 6 min read
ALKPU improves molecular dynamics simulations by efficiently selecting data points for model training.
Haibo Li, Xingxing Wu, Liping Liu
― 7 min read
New methods improve the analysis of aerospace structures for better performance.
Alexander Saccani, Paolo Tiso
― 6 min read
Researchers use machine learning for faster solutions to Kepler's Equation.
Kevin J Napier
― 5 min read
A look into the behavior of Marshak waves under complex conditions.
Nitay Derei, Shmuel Balberg, Shay I. Heizler
― 6 min read
Exploring the blend of machine learning and partial differential equations.
Arvind Mohan, Ashesh Chattopadhyay, Jonah Miller
― 8 min read
Discover how neural networks enhance the performance of capacitive touch sensors.
Ganyong Mo, Krishna Kumar Narayanan, David Castells-Rufas
― 6 min read
Discover how high-order Discontinuous Galerkin methods improve fluid dynamics simulations.
Yu-Xiang Peng, Biao Wang, Peng-Nan Sun
― 7 min read
Discover the intricate structures within water that support life.
Fujie Tang, Diana Y. Qiu, Xifan Wu
― 5 min read
Learn how crystals withstand pressure and remain intact.
Marcin Maździarz
― 5 min read
MOLPIPx aids scientists in accurately modeling molecular movements using advanced techniques.
Manuel S. Drehwald, Asma Jamali, Rodrigo A. Vargas-Hernández
― 5 min read
A new method enhances turbulence predictions using machine learning techniques.
Jonas Luther, Patrick Jenny
― 6 min read
How hydrogen moves in materials affects many scientific fields.
Vladimir Kulagin, Rémi Delaporte-Mathurin, Etienne A. Hodille
― 7 min read
New method improves neutron behavior predictions in fusion reactor designs.
Timo Jos Bogaarts, Felix Warmer
― 6 min read
A new protocol enhances efficiency in simulating two-dimensional electronic spectroscopy.
José D. Guimarães, James Lim, Mikhail I. Vasilevskiy
― 4 min read
A new model improves predictions for metal 3D printing melt pool behavior.
Manav Manav, Nathanael Perraudin, Yunong Lin
― 6 min read
QM/MM combines quantum and molecular mechanics for better scientific insights.
Xin Chen, Jessica Martinez, Xuecheng Shao
― 6 min read
Scientists use algorithms to study how atoms change states, like liquid to ice.
Lars Dammann, Richard Kohns, Patrick Huber
― 4 min read
Combining techniques for better accuracy in predicting mechanical properties of materials.
Leon Riccius, Iuri B. C. M. Rocha, Joris Bierkens
― 6 min read
A look into how droplets evaporate and its significance in everyday life.
Faraz Salimnezhad, Hasret Turkeri, Iskender Gokalp
― 5 min read
TorchOptics simplifies simulating light behavior in optical systems for researchers.
Matthew J. Filipovich, A. I. Lvovsky
― 6 min read
Learn how adaptive genetic algorithms help in arranging atomic particles effectively.
Brandon Willnecker, Mervlyn Moodley
― 5 min read
Researchers improve thermal conductivity predictions using innovative machine learning techniques.
L. Klochko, M. d'Aquin, A. Togo
― 6 min read
Discover the blend of quantum computing and fluid dynamics in QLBMs.
Călin Andrei Georgescu, Merel Annelise Schalkers, Matthias Möller
― 5 min read
Scientists improve designs for magnonic devices using advanced algorithms and innovative methods.
Andrey A. Voronov, Marcos Cuervo Santos, Florian Bruckner
― 7 min read
This article explores methods to measure relationships in quantum computing.
Lila Cadi Tazi, David Muñoz Ramo, Alex J. W. Thom
― 5 min read