Results 21 to 30 of about 43,894 (181)

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Teaching Physical Science Through Technology: Middle School VCU PHY 591

, 1999
Journal of Mathematics and Science: Collaborative Explorations ...
Niculescu, V. A,, Hagan, D. B.
openaire   +1 more source

Comment on "Physics without determinism: Alternative interpretations of classical physics", Phys. Rev. A, 100:062107, Dec 2019

, 2020
The paper "Physics without determinism: Alternative interpretations of classical physics" [Phys. Rev. A, 100:062107, Dec 2019] defines finite information quantities (FIQ). A FIQ expresses the available information about the value of a physical quantity.
Callegaro, Luca, Pennecchi, Francesca, Bich, Walter   +2 more
openaire   +2 more sources

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

PHY-aware distributed scheduling for ad hoc communications with physical interference model [PDF]

IEEE Transactions on Wireless Communications, 2009
We consider a random-access-based ad hoc network, where different links use mini-slots to contend for the channel, and then successful links transmit data packets, as in CSMA. The focus of our study is to develop optimal strategies for physical-layer-aware (PHY-aware) distributed scheduling, which involves a joint process of channel probing and ...
Weiyan Ge, Junshan Zhang, Jeffrey Wieselthier, Xuemin Shen   +3 more
openaire   +1 more source

Repeating Nuclear Transients From Repeating Partial Tidal Disruption Events

Astronomische Nachrichten, EarlyView.
ABSTRACT Extragalactic nuclear transients that exhibit repeating outbursts can be modeled as the repeated dynamical interaction between bound stars and supermassive black holes (SMBHs). A subset of these transients, with recurrence timescales of months‐to‐years, have been explained as accretion flares from the repeated tidal stripping of a star by an ...
Ananya Bandopadhyay, Eric R. Coughlin, Julia Fancher, C. J. Nixon, Dheeraj R. Pasham   +4 more
wiley   +1 more source

Quantifying the Impact of Relativistic Precession on Tidal Disruption Event Light Curves

Astronomische Nachrichten, EarlyView.
ABSTRACT The tidal field of a black hole can turn a star into a gas stream whose orbit can precess, especially if the a black hole is rapidly spinning. In this work, we investigate the impact of precession on the light curves of tidal disruption events (TDE).
Diego Calderón, Ondřej Pejcha, Brian D. Metzger, Paul C. Duffell, Stephan Rosswog   +4 more
wiley   +1 more source

Single GAF Domain Phytochrome Exhibits a pH‐Dependent Shunt on the Millisecond Timescale

ChemPhysChem, Volume 26, Issue 6, March 15, 2025.
During their light‐induced photocycle, phytochromes can engage in a thermal reversion back to the initially excited state, denoted as a shunt. This study investigates a pH‐dependent shunt transition in the Pfr state of the All2699g1 phytochrome from Nostoc punctiforme using UV/Vis laser flash photolysis and kinetic modeling. The findings suggest a keto‐
Florian Trunk, Lisa Köhler, Tobias Fischer, Wolfgang Gärtner, Chen Song, Chavdar Slavov, Josef Wachtveitl   +6 more
wiley   +1 more source

Tracking Climate and Environmental Attention: A News‐Based Composite Index

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca, Andrea Fronzetti Colladon, Barbara Guardabascio, Ludovica Segneri   +3 more
wiley   +1 more source