Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...

It is no longer possible to treat what is happening in the Middle East as a passing round of escalation or simply another war added to the region’s long record of conflict.

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.

Richard C. Larson, Mitsui Professor, explores the role of operations research in everyday life and the concept of model ...

Estimating things that exist is generally easy, but when it comes to estimating things that do not exist, it's more difficult. This is something physicists from Poland and the UK are well aware of. To ...

Estimating things that exist is generally easy, but when it comes to estimating things that do not exist, it’s more difficult. This is something physicists from Poland and the UK are well aware of. To ...

In this piece, I highlight one particular talk that caught my interest — given by Elana Fertig, Dean E. Albert Reece Endowed ...

A closer look at the Lambda Cold Dark Matter model, its core components, supporting evidence, and why new observations are ...

Abstract: The induced polarization (IP) effect is an important phenomenon in geophysical exploration. Understanding the impact of the IP effect on transient electromagnetic (TEM), it is necessary to ...

Fractional calculus emerged from a theoretical inquiry into whether the concept of differentiation, traditionally defined for integer orders, could be extended to arbitrary real numbers. While early ...

On Tesla's fourth-quarter earnings call, CEO Elon Musk said the company is ending production of its Model S and X vehicles. "It's time to basically bring the Model S and X programs to an end with an ...

SHallow REcurrent Decoder-based Reduced Order Model (SHRED-ROM) is an ultra-hyperreduced order modeling framework aiming at reconstructing high-dimensional data from limited sensor measurements in ...