Time-dependent driving has become a powerful tool for creating novel nonequilibrium phases such as discrete time crystals and ...
Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...
Organized by Scientific Explore Publications and coordinated from Madurai, Tamil Nadu, ICCMMAS 2025 featured technical ...
Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, cut trial-and-error, reduce waste, and speed the development of safer, ...
Abstract:Professor Hirotoshi Mori (Department of Applied Chemistry, Faculty of Science and Engineering, Chuo University), together with Nichika Ozawa ...
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US scientists take first look inside extreme ramjet engine, could triple missile range
Scientists at the US Naval Research Laboratory (NRL) have achieved significant progress in the ...
Using a superconducting quantum computer, physicists created a large and complex version of an odd quantum material that has ...
The demonstrator model, based on Madrid urban conditions, is able to calculate yields but can also be used to evaluate alternative maximum power point tracking (MPPT) algorithms. The team combined ...
New pre-print describes codes that “move” logical ancilla qubits up and down to significantly reduce the error rate ...
AI agents are reshaping solid electrolyte design by combining data analysis, modeling, simulation, and experiment planning ...
Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...
In a groundbreaking initiative, the Princeton Plasma Physics Laboratory (PPPL) has introduced a new computing platform called STELLAR-AI, which stands for Simulation, Technology, and Experiment ...
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