Letting atomic simulations learn from phase diagrams

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Interesting Engineering

Inverse design meets 4D printing in mechanical metamaterials

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...
College of Computing - Georgia Tech

New Research Priorities Chart Course Toward Impactful, Energy-Efficient Computing

Georgia Tech researchers applied their expertise to a national research program that will shape the future of computing.
Devdiscourse

Big Data and AI propel geoscience into new digital era

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
Scientific American

The mathematical mystery inside the legendary 1990s shooter Quake 3

Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...
IEEE

Efficient 3D Inversion for Transient Electromagnetic Method Based on Rational Krylov Subspace

Abstract: Conventional three-dimensional (3D) inversion algorithms for the transient electromagnetic method (TEM) require time-domain discretization in both forward and adjoint modeling. These ...
IEEE

GPR 3D Data Volume Inversion Method Based on Interactive Tracking and 2D Multi-view Inversion Network

Abstract: Ground Penetrating Radar (GPR) inversion technology is a key means to obtain underground target distribution and medium parameters. The existing three-dimensional (3D) inversion network ...