Results 141 to 150 of about 3,002,307 (310)
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao+5 more
wiley +1 more source
Genetics-based machine learning for the assessment of certain neuromuscular disorders [PDF]
Constantinos S. Pattichis+1 more
openalex +1 more source
High‐Performance Millimeter Scale Electromagnetic Generator
A high‐performance millimeter‐scale electromagnetic generator (mmEMG) is developed using magnetic flux concentrator (MFC) films on both coil ends to enhance magnetic flux. Through simulations and experiments, structural and magnetic properties are optimized, achieving a 5.6‐fold electrical output improvement.
Jin Pyo Lee+5 more
wiley +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Advancing spatio-temporal processing through adaptation in spiking neural networks
Implementations of spiking neural networks on neuromorphic hardware promise orders of magnitude less power consumption than their non-spiking counterparts.
Maximilian Baronig+3 more
doaj +1 more source
This paper introduces a drone-based surrogate project aimed at serving as a preliminary educational platform for undergraduate students in the Electrical and Computer Engineering (ECE) fields.
Angel A. Rodriguez+6 more
doaj +1 more source
Atomic Size Misfit for Electrocatalytic Small Molecule Activation
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong+3 more
wiley +1 more source
Conservation machine learning [PDF]
Moshe Sipper+2 more
openaire +4 more sources
Learning characteristics of human operator in man-machine system
Hajime AKASHI, Hiroyuki Hashimoto
openalex +2 more sources
Synthetic cells are engineered herein to respond to an external chemical messenger by the activation of intracellular catalysis. The chemical messenger molecules are catalytically generated by an extracellular enzyme or a mineral surface, whereas the intracellular catalysis emerges via direct enzyme activation or via protein refolding.
Dante G. Andersen+5 more
wiley +1 more source