Results 211 to 220 of about 2,291,078 (312)
Machine learning method for 12C event classification and reconstruction in the active target time-projection chamber [PDF]
Huangkai Wu+9 more
openalex +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana+2 more
wiley +1 more source
Structural mode coupling in perovskite oxides using hypothesis-driven active learning
Finding the ground-state structure with minimum energy is paramount to designing any material. In ABO _3 -type perovskite oxides with Pnma symmetry, the lowest energy phase is driven by an inherent trilinear coupling between the two primary order ...
Ayana Ghosh+3 more
doaj +1 more source
Active Learning and Uncertainty Quantification for Machine Learning Interatomic Potentials.
Khachik Sargsyan+3 more
openalex +2 more sources
A Novel Approach to Implementing Artificial Thalamic Neurons with Ferroelectric Transistors
Artificial neurons created using CMOS technology often require a large number of transistors and capacitors. This study introduces an artificial thalamic neuron that employs only five CMOS compatible ferroelectric transistors. The manufactured thalamic neuron demonstrates leaky integrate‐and‐fire‐or‐burst (LIFB) functionalities, featuring self ...
Andreas Grenmyr+7 more
wiley +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai+8 more
wiley +1 more source
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du+11 more
wiley +1 more source
Machine Learning Assisted Design of Highly Active Peptides for Drug Discovery
Sébastien Giguère+7 more
openalex +2 more sources