Simulations of quantum many-body problems are a challenge for even the most powerful conventional computers. Quantum computing has the potential to solve this challenge using an approach called an analog quantum simulation. To succeed, these simulations need theoretical approximations of how quantum computers represent many-body systems. In this research, nuclear physicists developed a new framework to analyze these approximations and minimize their effects.

A new fully automated in vivo screening system (AISS) has been developed to transform drug evaluation by enabling rapid, precise, and non-invasive multi-organ imaging in zebrafish. Integrating cutting-edge microfluidic technology with computer-vision-based control, this innovative system automates every aspect of zebrafish larvae handling— from loading and encapsulation to immobilization and drug exposure. 

Researchers at the Hong Kong University of Science and Technology (HKUST) have developed the world’s first kilowatt-scale elastocaloric cooling device. The device can stabilize indoor temperatures at a comfortable 21-22°C in just 15 minutes, even when outdoor temperatures reach between 30-31°C, marking a significant breakthrough toward the commercial application of elastocaloric solid-state cooling technology. The research findings have been published in the leading international science journal Nature, offering a promising solution to combat climate change and accelerate low-carbon transformation of the global cooling industry. 

As climate change and population growth increase pressure on global food production, regional-scale crop growth and associated process (CROP-AP) models have become essential tools for understanding and predicting agricultural productivity. A new review, published in Science China Earth Sciences, categorizes these models into four types—statistical models, crop growth models, hydrology-crop coupling models, and ecosystem models. The study explores their main functions from five aspects: crop yield prediction, crop water consumption, agricultural non-point source pollution, greenhouse gas emissions, and climate change impact and responses, and identifies key future research directions, including model validation and calibration, the ability to simulate the coupling of crop physiology and human activities, enhancing model scalability, multi-model ensembles, data and code sharing, and the integration of artificial intelligence.