A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
The elections represent a delicate new phase in Bangladesh’s constitutional reboot. Bangladesh approaches its parliamentary ...
Morning Overview on MSN
Graphene concrete is rewriting the rules of construction
Concrete has quietly become one of the planet’s biggest climate problems, yet it remains the backbone of modern cities and infrastructure. A new class of graphene concrete is starting to change that ...
The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...
This article provides a comprehensive guide for CBSE Class 12 Maths Board Exam 2026 preparation. Check for PDF links for all study materials.
Tech Xplore on MSN
Why metal microstructures matter: AI pinpoints stress hotspots to guide safer designs
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...
A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
Abstract: In this study, we present and experimentally verify a method based on the adaptive matrix block weighting (AMBW) algorithm to achieve large-strain measurement in long-distance, ...
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