Results 71 to 80 of about 226,863 (285)

State‐of‐the‐Art Machine Learning Technology for Sustainable Lithium Battery Cathode Design: A Perspective

Advanced Energy Materials, EarlyView.
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem, Leon L. Shaw, Zhiqian Chen, Wei Lai   +3 more
wiley   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

CSGNet: Neural Shape Parser for Constructive Solid Geometry

, 2018
We present a neural architecture that takes as input a 2D or 3D shape and outputs a program that generates the shape. The instructions in our program are based on constructive solid geometry principles, i.e., a set of boolean operations on shape ...
Goyal, Rishabh, Kalogerakis, Evangelos, Liu, Difan, Maji, Subhransu, Sharma, Gopal   +4 more
core   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Personalized Kirigami Strain Sensors for in vivo Applications

Advanced Intelligent Systems, EarlyView.
Rapid prototyping of strain sensors is demonstrated using a laser cutter that both converts carbon‐based material to strain responsible graphene and generates cuts in a kirigami‐style pattern that allows enhanced substrate flexibility. This method is used to generate wearable sensors for monitoring heart rate, limb/finger motion, and abdominal ...
Siheng Sean You, Max Schober, Soufyane Ben‐Ayed, Sahab Babaee, Stephanie Owyang, Josh Jenkins, Peter R. Chai, Giovanni Traverso   +7 more
wiley   +1 more source

Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon, Morgan Cheatham, Thales A. C. de Guimarães, Dat Duong, Melissa A. Haendel, Tzung‐Chien Hsieh, Behnam Javanmardi, Britt Johnson, Peter Krawitz, Paul Kruszka, Tim Laurent, Ni‐Chung Lee, Kirsty McWalter, Michel Michaelides, Klaus Mohnike, Nikolas Pontikos, Maria J. Guillen Sacoto, Yousif J. Shwetar, Vincent D. Ustach, Rebekah L. Waikel, William Woof   +20 more
wiley   +1 more source

Systems of Sequential Grammars Applied to Parsing [PDF]

, 2014
Tato práce zkoumá Gramatické systémy jako potenciálně silnější nástroj pro syntaktickou analýzu, nežli obyčejné gramatiky. Hlavním záměrem je aplikace teoretických modelů do praxe, vytvoření syntaktického analyzátoru.
Repík, Tomáš
core  

The Computer‐Assisted Sequence Annotation (CASA) workflow for enzyme discovery

Applications in Plant Sciences, EarlyView.
Abstract Premise With the advent of inexpensive nucleic acid sequencing and automated annotation at the level of basic functionality, the central problem of enzyme discovery is no longer finding active sequences, it is determining which ones are suitable for further study.
Gemma R. Takahashi, Franchesca M. Cumpio, Carter T. Butts, Rachel W. Martin   +3 more
wiley   +1 more source

A limited global perspective on what makes anatomical public engagement good or bad

Anatomical Sciences Education, EarlyView.
Abstract Anatomical public engagement has the potential to enhance anatomical literacy and patient–provider communication. However, the lack of consensus on effective practices, ethical considerations, and cultural sensitivities poses challenges for anatomists conducting outreach events.
Victoria Gomez, Janet A. C. Philp, Jason M. Organ, Kat A. Sanders   +3 more
wiley   +1 more source

Sustaining the “frozen footprints” of scholarly communication through open citations: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review examines the role of open citations in fostering transparency, reproducibility, and accessibility in scholarly communication. Through a critical synthesis of diverse sources—articles, proceedings, presentations, datasets, and blog posts—it explores the motivations behind citing, the evolving meanings of citations, and key ...
Zehra Taşkın
wiley   +1 more source