For decades, Arieh Warshel, USC Distinguished Professor of Chemistry and a 2013 Nobel laureate, has used computer simulations to understand how enzymes—fundamental to nearly every biological process ...

This repository contains the implementation of the paper "Maximum Entropy Deep Inverse Reinforcement Learning" by Wulfmeier et al. [1] in PyTorch. You will also find in the notebooks directory a ...

1 G. A. Jarvis Prof. of Physics, Emer., Trinity College, Hartford, USA. 2 Tall Pines Research, Simsbury, USA. Recent investigations have shown that a bivariant lognormal probability density function ...

Researchers taking the first-ever direct measurement of atom temperature in extremely hot materials inadvertently disproved a decades-old theory and upended our understanding of superheating. It's ...

In their quest for more-efficient catalysts and better battery components, scientists are exploring a new category of materials known as high-entropy oxides. These oxides, made from five or more ...

Advancements in large language models (LLMs) have revolutionized natural language processing, with applications spanning text generation, translation, and summarization. These models rely on large ...

The Nature Index 2024 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

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Ask the publishers to restore access to 500,000+ books. A line drawing of the Internet Archive headquarters building façade. An illustration of a heart shape "Donate to the archive" An illustration of ...

In this paper, we explored the combination of seismic station data and ground motion prediction equations (GMPE) to predict seismic intensity results by using Bayesian Maximum Entropy (BME) method.