Results 81 to 90 of about 28,959 (169)
Error Analysis of Three-Layer Neural Network Trained With PGD for Deep Ritz Method
Machine learning is a rapidly advancing field with diverse applications across various domains. One prominent area of research is the utilization of deep learning techniques for solving partial differential equations(PDEs). In this work, we specifically focus on employing a three-layer tanh neural network within the framework of the deep Ritz method ...
Yuling Jiao, Yanming Lai, Yang Wang
openaire +3 more sources
ABSTRACT In hotel industry, the excellent service quality through a positive connection can cause customer satisfaction and loyalty, which is directly related to the hotel's revenue. Therefore, the fact that front‐line employees must always treat all customers politely and kindly at the service point of contact can be stressful, resulting in emotional ...
Myoungjin Yu, Sunghyup Sean Hyun
wiley +1 more source
A Deep Uzawa-Lagrange Multiplier Approach for Boundary Conditions in PINNs and Deep Ritz Methods
19 pages, 13 figures; updated address of ...
Makridakis, Charalambos G. +2 more
openaire +2 more sources
We applied a latent class mixed model to cluster individuals based on their postprandial triglyceride response curves after consumption of high‐fat meals. Three clusters with different triglyceride response patterns were identified. This approach holds the potential to be used for identifying metabolically dysfunctional individuals.
Jiaying Hu +5 more
wiley +1 more source
Finding geodesics with the Deep Ritz method
Geodesic problems involve computing trajectories between prescribed initial and final states to minimize a user-defined measure of distance, cost, or energy. They arise throughout physics and engineering -- for instance, in determining optimal paths through complex environments, modeling light propagation in refractive media, and the study of spacetime
openaire +2 more sources
Incorporating soil biological and functional attributes to advance ecological restoration
Earth is currently experiencing a mass extinction crisis, predominantly driven by anthropogenic activities, with land use change causing widespread loss and degradation of native ecosystems and indigenous species. There is an urgent need to halt this trend and restore degraded habitat to preserve biodiversity and protect threatened plants and animals ...
Uffe N. Nielsen +3 more
wiley +1 more source
The shallow shelf approximation as a "sliding law" in a thermomechanically coupled ice sheet model
The shallow shelf approximation is a better ``sliding law'' for ice sheet modeling than those sliding laws in which basal velocity is a function of driving stress.
Aschwanden +63 more
core +1 more source
ABSTRACT Queer undergraduates describe a climate in STEM fields and classrooms that is both hostile to and silent on queer identities, leading to experiences of social exclusion, devaluation as a scientist, and discrimination. In the few studies that have specifically focused on trans and non‐binary undergraduates (i.e., students with queer genders ...
Sarah L. Eddy +8 more
wiley +1 more source
Kernel Methods in the Deep Ritz framework: Theory and practice
In this contribution, kernel approximations are applied as ansatz functions within the Deep Ritz method. This allows to approximate weak solutions of elliptic partial differential equations with weak enforcement of boundary conditions using Nitsche's method.
Kleikamp, Hendrik, Wenzel, Tizian
openaire +2 more sources
Fault Volume Digital Twin to Reproduce the Full Slip Spectrum, Scaling, and Statistical Laws
Abstract Seismological and geodetic observations of fault zones reveal diverse slip dynamics, scaling, and statistical laws. Existing mechanisms explain some but not all of these behaviors. We show that incorporating an off‐fault damage zone—characterized by distributed fractures surrounding a main fault—can reproduce many key features observed in ...
M. Almakari +9 more
wiley +1 more source

