Different conformational responses of the β2-adrenergic receptor-Gs complex upon binding of the partial agonist salbutamol or the full agonist isoprenaline [0.03%]
β2-肾上腺素受体-Gs复合物与部分激动剂沙丁胺醇或完全激动剂异丙肾上腺素结合后的不同构象反应
Fan Yang,Shenglong Ling,Yingxin Zhou et al.
Fan Yang et al.
G protein-coupled receptors (GPCRs) are responsible for most cytoplasmic signaling in response to extracellular ligands with different efficacy profiles. Various spectroscopic techniques have identified that agonists exhibiting varying effi...
Lewis-base ligand-reshaped interfacial hydrogen-bond network boosts CO2 electrolysis [0.03%]
配体重塑界面氢键网络促进二氧化碳电解
Wangxin Ge,Haolan Tao,Lei Dong et al.
Wangxin Ge et al.
Both the catalyst and electrolyte strongly impact the performance of CO2 electrolysis. Despite substantial progress in catalysts, it remains highly challenging to tailor electrolyte compositions and understand their functions at the catalys...
Syntropic spin alignment at the interface between ferromagnetic and superconducting nitrides [0.03%]
铁磁氮化物和超导氮化物界面处的同源自旋排列
Qiao Jin,Qinghua Zhang,He Bai et al.
Qiao Jin et al.
The magnetic correlations at the superconductor/ferromagnet (S/F) interfaces play a crucial role in realizing dissipation-less spin-based logic and memory technologies, such as triplet-supercurrent spin-valves and 'π' Josephson junctions. ...
Fang Yao
Fang Yao
This paper gives a brief introduction to recent theoretical advance of meta learning. © The Author(s) 2024. Published by Oxford University Press on beha...
Gao Huang
Gao Huang
This perspective article delves into the transformative realm of dynamic neural networks, which is reshaping AI with adaptable structures and improved efficiency, bridging the gap between artificial and human intelligence. ...
Enhancing neural operator learning with invariants to simultaneously learn various physical mechanisms [0.03%]
利用不变量增强神经操作学习以同时学习各种物理机制
Siran Li,Chong Liu,Hao Ni
Siran Li
We discuss the recent advancement in PDE learning, focusing on Physics Invariant Attention Neural Operator (PIANO). PIANO is a novel neural operator learning framework for deciphering and integrating physical knowledge from PDEs sampled fro...
Terahertz flexible multiplexing chip enabled by synthetic topological phase transitions [0.03%]
基于合成拓扑相变的太赫兹柔性复用芯片
Hang Ren,Su Xu,Zhidong Lyu et al.
Hang Ren et al.
Flexible multiplexing chips that permit reconfigurable multidimensional channel utilization are indispensable for revolutionary 6G terahertz communications, but the insufficient manipulation capability of terahertz waves prevents their prac...
Cuprate-like electronic structures in infinite-layer nickelates with substantial hole dopings [0.03%]
具有较大空穴掺杂的无限层镍酸盐中的铜氧化物类似电子结构
Xiang Ding,Yu Fan,Xiaoxiao Wang et al.
Xiang Ding et al.
Superconducting infinite-layer (IL) nickelates offer a new platform for investigating the long-standing problem of high-temperature superconductivity. Many models were proposed to understand the superconducting mechanism of nickelates based...
Ke Tang,Xin Yao
Ke Tang
Most optimization problems of practical significance are typically solved by highly configurable parameterized algorithms. To achieve the best performance on a problem instance, a trial-and-error configuration process is required, which is ...
Bilevel optimization for automated machine learning: a new perspective on framework and algorithm [0.03%]
自动化机器学习的 bilevel优化：框架和算法的新视角
Risheng Liu,Zhouchen Lin
Risheng Liu
Formulating the methodology of machine learning by bilevel optimization techniques provides a new perspective to understand and solve automated machine learning problems. ...