Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.
Most AI initiatives fail to deliver results, but chemical companies are finding success by learning what really works.
Morning Overview on MSN
What if dark energy is wrong? A new model shakes up cosmology
For a quarter century, cosmology has rested on a simple but audacious idea: that a fixed “cosmological constant” drives the ...
The aviation industry is witnessing a resurgence of interest in supersonic travel. From Boom Supersonic to the rollout of ...
Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
An introduction to Coulomb’s Law and electric fields explained in a clear and simple way. Learn how electric charges interact, how force depends on distance, and how electric fields describe these ...
Researchers at TU Wien have discovered a quantum system where energy and mass move with perfect efficiency. In an ultracold ...
Tech Xplore on MSN
An AI approach for single-image-based 3D character animation with preserved proportions
In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology ...
Flexoelectricity, which can transform mechanical deformation into electrical signals, could provide enough power to fire ...
The JEE Main 2026 Session 1 City Intimation Slip is released by NTA. Download your exam city slip now to plan travel ...
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