A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
PNcsp+: A Periodic Number-Based Crystal Structure Prediction Method Enhanced by Machine Learning. [PDF]
Oran C, Caputo R, Villars P, Tekin A.
europepmc +1 more source
Conformational Switching of Proteins on Material Surfaces Enabled by Peptide‐Oriented Adsorption
Responsive biointerfaces could be achieved using conformationally responsive proteins; however, their interconversion can be lost upon surface adsorption. Herein, we demonstrate that the incorporation a Au binding peptide into calmodulin allows for binding control on Au wherein the protein retains conformational switching. This capability was confirmed
Sakthirupini Ramamurthy +7 more
wiley +1 more source
DPRM: DeBERTa-based potential relationship multi-headed self-attention joint extraction model. [PDF]
Li S, Cao J, Yang J, He Y, Wang P.
europepmc +1 more source
Explained Deep Learning Framework for COVID-19 Detection in Volumetric CT Images Aligned with the British Society of Thoracic Imaging Reporting Guidance: A Pilot Study. [PDF]
Fouad S +7 more
europepmc +1 more source
Spectroscopic Investigations of the Surface-Level Interaction of Europium (III) Ions and Polyaniline Particles. [PDF]
Secu CE +4 more
europepmc +1 more source
ANN-based thermal analysis of 3D MHD hybrid nanofluid flow over a shrinking sheet via LMA. [PDF]
Imran M +5 more
europepmc +1 more source
Ultrasonic-Assisted extraction of luteolin from peanut shells using supramolecular solvents and its molecular mechanism. [PDF]
Fang Y, Zhang P, Wang S, Li L, Sheng Z.
europepmc +1 more source
Design and Evaluation Frameworks for Advanced RISC-based Ternary Processor
In this paper, we introduce the design and veri-fication frameworks for developing a fully-functional emerging ternary processor. Based on the existing compiling environments for binary processors, for the given ternary instructions, the software-level ...
Sunmean Kim +2 more
exaly +1 more source
A Ternary Neural Network Computing-in-Memory Processor With 16T1C Bitcell Architecture
A highly energy-efficient Computing-in-Memory (CIM) processor for Ternary Neural Network (TNN) acceleration is proposed in this paper. Previous CIM processors for multi-bit precision neural networks showed low energy efficiency and throughput ...
Kyuho Jason Lee +2 more
exaly +3 more sources

