Results 251 to 260 of about 3,998,759 (349)

A Novel Gene Synthesis Platform for Designing Functional Protein Polymers. [PDF]

Adv Sci (Weinh)
Homma T, Yamamoto R, Ang LZP, Fehaid A, Ebara M.   +4 more
europepmc   +1 more source

Ratings of Journals by ARL Library Directors and Deans of Library and Information Science Schools

, 1985
David F. Kohl, Charles H. Davis
openalex   +2 more sources

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

Photocatalyzed elaboration of antibody-based bioconjugates. [PDF]

Beilstein J Org Chem
Le Stum M, Romero E, Molander GA.
europepmc   +1 more source

March of Library Science: Kaula Festschrift. (Book Review)

, 1980
Ravindra Sharma
openalex   +2 more sources

Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys

Advanced Engineering Materials, EarlyView.
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco, Kehang Yu, Xin Wang, Crystal Murillo, Carlos Melchor, Calvin H. Belcher, Julie M. Schoenung, Enrique J. Lavernia, Stacy M. Copp   +8 more
wiley   +1 more source

Section of Biological and Medical Sciences Libraries in International Federation of Library Associations and Institutions (IFLA) (1)

, 1981
Toshinobu Suga
openalex   +2 more sources

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

Haplotype-resolved genomes of Trichophyton mentagrophytes and Trichophyton tonsurans. [PDF]

Sci Data
Feng S, Wang Z, Lin K, Wang K, Zheng S, Wang Q, Lin L, Lu Y.   +7 more
europepmc   +1 more source

PERGAMON INTERNATIONAL LIBRARY of Science, Technology, Engineering and Social Studies

, 1981

openalex   +1 more source