Two-Dimensional Transition Metal Dichalcogenides: A Theory and Simulation Perspective [0.03%]
二维过渡金属硫属化合物：理论与模拟视角
Sunny Gupta,Jun-Jie Zhang,Jincheng Lei et al.
Sunny Gupta et al.
Two-dimensional transition metal dichalcogenides (2D TMDs) are a promising class of functional materials for fundamental physics explorations and applications in next-generation electronics, catalysis, quantum technologies, and energy-relat...
Raphaël Rodriguez,Sebastian Müller,Ludovic Colombeau et al.
Raphaël Rodriguez et al.
Complex multicellular organisms are composed of distinct tissues involving specialized cells that can perform specific functions, making such life forms possible. Species are defined by their genomes, and differences between individuals wit...
Shreyash Hadke,Min-A Kang,Vinod K Sangwan et al.
Shreyash Hadke et al.
Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security to healthcare. However, the current strategy of implementing artificial intelligence algorithms using conventional silicon hardware i...
Yujia Huang,Pan Zhang,Haoyu Wang et al.
Yujia Huang et al.
The concept of genetic code expansion (GCE) has revolutionized the field of chemical and synthetic biology, enabling the site-specific incorporation of noncanonical amino acids (ncAAs) into proteins, thus opening new avenues in research and...
Ruoyu Zhao,Seung Ju Kim,Yichun Xu et al.
Ruoyu Zhao et al.
Conventional artificial intelligence (AI) systems are facing bottlenecks due to the fundamental mismatches between AI models, which rely on parallel, in-memory, and dynamic computation, and traditional transistors, which have been designed ...
Yidong Zou,Zhenkun Sun,Qiyue Wang et al.
Yidong Zou et al.
Core-shell magnetic particles consisting of magnetic core and functional shells have aroused widespread attention in multidisciplinary fields spanning chemistry, materials science, physics, biomedicine, and bioengineering due to their disti...
Small Data Machine Learning Approaches in Molecular and Materials Science [0.03%]
分子和材料科学中的小数据机器学习方法
Siddarth K Achar,John A Keith
Siddarth K Achar
Kyung Seok Woo,R Stanley Williams,Suhas Kumar
Kyung Seok Woo
Since the early 2000s, the impending end of Moore's scaling, as the physical limits to shrinking transistors have been approached, has fueled interest in improving the functionality and efficiency of integrated circuits by employing memrist...
Multiple Binding Modes of Inhibitors to Human Carbonic Anhydrases: An Update on the Design of Isoform-Specific Modulators of Activity [0.03%]
人类碳酸酐酶抑制剂的多种结合模式：活性异构特异性调节剂设计的最新研究
Katia D&#x;Ambrosio,Anna Di Fiore,Vincenzo Alterio et al.
Katia D&#x;Ambrosio et al.
Human carbonic anhydrases (hCAs) are widespread zinc enzymes that catalyze the hydration of CO2 to bicarbonate and a proton. Currently, 15 isoforms have been identified, of which only 12 are catalytically active. Given their involvement in ...
Andrew C Hunt,Blake J Rasor,Kosuke Seki et al.
Andrew C Hunt et al.
Cell-free gene expression (CFE) systems empower synthetic biologists to build biological molecules and processes outside of living intact cells. The foundational principle is that precise, complex biomolecular transformations can be conduct...