Results 291 to 300 of about 3,224,901 (376)

A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?

Advanced Engineering Materials, EarlyView.
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli, Manel Rodríguez Ripoll, Sabine Schwarz, Ali Erdemir, Maria Clelia Righi, Carsten Gachot   +5 more
wiley   +1 more source

Interlayer-bridged dual-channel 2D MOF membranes for ultra-stable ion sieving in extreme environments. [PDF]

Chem Sci
Hao Y, Gao Q, Mao X, Cui Z, Ding Y, Wu W, Chen X, Li Z.   +7 more
europepmc   +1 more source

SIMULATION OF NUCLEAR ANALYTICAL CHEMISTRY OPERATIONS

, 2000
R.J. Burnside, N. De Muth
openalex   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Single-cell western blotting of cytoplasmic cytokeratin 8 proteoforms.

Analyst
Fomitcheva Khartchenko A, Lam T, Herr AE.   +2 more
europepmc   +1 more source

Machine learning for nonadiabatic molecular dynamics: best practices and recent progress. [PDF]

Chem Sci
Müller C, Sršeň Š, Bachmair B, Crespo-Otero R, Li J, Mausenberger S, Pinheiro M, Worth G, Lopez SA, Westermayr J.   +9 more
europepmc   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Deep Learning for Hyperpolarized NMR of Intrinsically Disordered Proteins without Resolution Loss: Access to Short-Lived Intermediates. [PDF]

Chemistry
Turhan E, Pötzl C, Brandis D, Faglia F, Zachrdla M, Kurzbach D.   +5 more
europepmc   +1 more source

First record of <i>Selenopsab</i> Logunov & Jäger, 2015 (Araneae, Selenopidae) from China, with first description of the female. [PDF]

Biodivers Data J
Hu C, Lin Y, Zhong Y.
europepmc   +1 more source