Results 61 to 70 of about 522,455 (311)

Performance and Cost Assessment of Machine Learning Interatomic Potentials [PDF]

open access: yesThe Journal of Physical Chemistry A, 2020
Machine learning of the quantitative relationship between local environment descriptors and the potential energy surface of a system of atoms has emerged as a new frontier in the development of interatomic potentials (IAPs). Here, we present a comprehensive evaluation of machine learning IAPs (ML-IAPs) based on four local environment descriptors-atom ...
Zuo, Yunxing   +10 more
openaire   +7 more sources

Machine learning coarse-grained potentials of protein thermodynamics

open access: yesNature Communications, 2023
AbstractA generalized understanding of protein dynamics is an unsolved scientific problem, the solution of which is critical to the interpretation of the structure-function relationships that govern essential biological processes. Here, we approach this problem by constructing coarse-grained molecular potentials based on artificial neural networks and ...
Majewski   +19 more
openaire   +6 more sources

On Interactive Machine Learning and the Potential of Cognitive Feedback

open access: yesCoRR, 2020
14 pages, 2 figures, submitted and accepted to the 2nd Workshop on Deep Models and Artificial Intelligence for Defense Applications: Potentials, Theories, Practices, Tools and Risks sponsored by the Association for the Advancement of Artificial Intelligence in cooperation with the Stanford University Computer Science ...
Chris J. Michael 0001   +2 more
openaire   +2 more sources

Early Prediction Model of Macrosomia Using Machine Learning for Clinical Decision Support

open access: yes, 2023
The condition of fetal overgrowth, also known as macrosomia, can cause serious health complications for both the mother and the infant. It is crucial to identify high-risk macrosomia-relevant pregnancies and intervene appropriately.
Md. Shamshuzzoha, Md. Motaharul Islam
core   +1 more source

A Review of Machine Learning Potentials in the Study of Materials Properties

open access: yesGaoya wuli xuebao
With the rapid advancement of artificial intelligence (AI) technologies and hardware capabilities, AI has gradually become a revolutionary tool driving transformative changes across multiple scientific research domains. In the field of materials science,
Jinlong LI, Hao WANG, Huayun GENG
doaj   +1 more source

Learning in continuous action space for developing high dimensional potential energy models

open access: yesNature Communications, 2022
Reinforcement learning algorithms are emerging as powerful machine learning approaches. This paper introduces a novel machine-learning approach for learning in continuous action space and applies this strategy to the generation of high dimensional ...
Sukriti Manna   +12 more
doaj   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska   +13 more
wiley   +1 more source

Leveraging Machine Learning for Hospital Segmentation based on potential caseload: A Case Study Approach

open access: yes, 2023
reservedThis case study focuses on using machine learning to segment hospitals into potential clusters based on their number of patients treated for a certain disease.
DI FRANCESCO, REBECCA
core  

Machine Learning for PAC1D and SESE [PDF]

open access: yes, 2023
This document outlines various machine learning approaches that were taken in an effort to surrogate numerical models Python Ablation Code 1-Dimension (PAC1D) and Scalable Effects Simulation Environment (SESE), with the ultimate objective of discovering ...
Seman, Matthew G.   +4 more
core  

Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review

open access: yesHuman-Centric Intelligent Systems, 2023
The domain of Machine learning has experienced Substantial advancement and development. Recently, showcasing a Broad spectrum of uses like Computational linguistics, image identification, and autonomous systems. With the increasing demand for intelligent
Abrar Yaqoob   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy