SFI External Professor Constantino Tsallis (Centro Brasileiro de Pesquisas Físicas) will serve as co-chair and synthesis lead ...

Reimaging professional and educational practices for an AI-augmented future.

A computational physics approach to modeling rigid object motion using spring forces in Python. This focuses on how spring ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

A Paris-based venture firm that has quietly shaped the quantum technology scenery is now making a much louder statement about Europe’s role in the future of computing, materials science, and sensing.

Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...

In this work, we highlight recent advances in computational modeling that have significantly enhanced prospects of personalized cancer therapies by enabling insightful integration of patient-specific ...

WEST LAFAYETTE, Ind. — Sometimes to truly study something up close, you have to take a step back. That’s what Andrea Donnellan does. An expert in earth sciences and seismology, she gets much of her ...

If you already have a Physics World account that you have linked to your IOP membership, simply sign in to access the digital editions of the magazine. If you are an IOP member but don't yet have a ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...