Microfluidic devices are operated at a low-Reynolds-number flow regime such that the
transportation and mixing of fluids are naturally challenging. There is still a great need to integrate …

Recent studies have shown that self-assembled molecule (SAM)-based hole-selective
contacts (HSCs) offer a promising solution to the challenges faced by perovskite solar cells (…

Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across
many research fields. We explored bird macroevolution using full genomes from 48 avian …

We introduce ChatGLM, an evolving family of large language models that we have been
developing over time. This report primarily focuses on the GLM-4 language series, which …

Inorganic perovskite CsPbBr 3 nanocrystals (NCs) are emerging, highly attractive light
emitters with high color purity and good thermal stability for light-emitting diodes (LEDs). Their …

The recently discovered antiferromagnetic topological insulators in the Mn-Bi-Te family with
intrinsic magnetic ordering have rapidly drawn broad interest since its cleaved surface state …

Large Language Models (LLMs) are becoming increasingly smart and autonomous, targeting
real-world pragmatic missions beyond traditional NLP tasks. As a result, there has been an …

It is believed that weakly interacting massive particles (WIMPs) are candidates for dark matter
(DM) in our universe which come from outer space and might interact with the standard …

We present WebGLM, a web-enhanced question-answering system based on the General
Language Model (GLM). Its goal is to augment a pre-trained large language model (LLM) with …

Integrating floating offshore wind turbines with oscillating-water-column wave energy converters
has been seen as a promising solution for hybrid offshore renewable energy production…