Results 121 to 130 of about 2,183,872 (273)

Artificial intelligence and machine learning at various stages and scales of process systems engineering

The Canadian Journal of Chemical Engineering, Volume 103, Issue 3, Page 1004-1035, March 2025.
Abstract We review the utility and application of artificial intelligence (AI) and machine learning (ML) at various process scales in this work, from molecules and reactions to materials to processes, plants, and supply chains; furthermore, we highlight whether the application is at the design or operational stage of the process.
Karthik Srinivasan, Anjana Puliyanda, Devavrat Thosar, Abhijit Bhakte, Kuldeep Singh, Prince Addo, Rajagopalan Srinivasan, Vinay Prasad   +7 more
wiley   +1 more source

Rectifiability, finite Hausdorff measure, and compactness for non‐minimizing Bernoulli free boundaries

Communications on Pure and Applied Mathematics, Volume 78, Issue 3, Page 545-591, March 2025.
Abstract While there are numerous results on minimizers or stable solutions of the Bernoulli problem proving regularity of the free boundary and analyzing singularities, much less is known about critical points of the corresponding energy. Saddle points of the energy (or of closely related energies) and solutions of the corresponding time‐dependent ...
Dennis Kriventsov, Georg S. Weiss
wiley   +1 more source

Overcoming the curse of dimensionality in the numerical approximation of high-dimensional semilinear elliptic partial differential equations. [PDF]

SN Partial Differ Equ Appl
Beck C, Gonon L, Jentzen A.
europepmc   +1 more source

Semiconvexity estimates for nonlinear integro‐differential equations

Communications on Pure and Applied Mathematics, Volume 78, Issue 3, Page 592-647, March 2025.
Abstract In this paper we establish for the first time local semiconvexity estimates for fully nonlinear equations and for obstacle problems driven by integro‐differential operators with general kernels. Our proof is based on the Bernstein technique, which we develop for a natural class of nonlocal operators and consider to be of independent interest ...
Xavier Ros‐Oton, Clara Torres‐Latorre, Marvin Weidner   +2 more
wiley   +1 more source

Investigation of the new optical soliton solutions to the (2+1)-dimensional calogero-bogoyavlenskii schiff model. [PDF]

Sci Rep
Baloch SA, Abbas M, Iqbal MK, Birhanu A, Alharthi MR.   +4 more
europepmc   +1 more source

Enhanced Circuit Board Analysis: Infrared Image Segmentation Utilizing Markov Random Field (MRF) and Level Set Techniques

Engineering Reports, Volume 7, Issue 3, March 2025.
Traditional segmentation methods typically struggle with these complexities. This encourages the use of robust and adaptable Markov Random Field (MRF) models and Level Set (MRF‐LS) approaches to segment items of interest in complicated images. Our approach improves circuit board infrared image segmentation by combining MRF models and Level Set ...
T. Praveenkumar, S. Anthoniraj, S. Kumarganesh, M. Somaskandan, K. Martin Sagayam, Binay Kumar Pandey, Digvijay Pandey, Suresh Kumar Sahani   +7 more
wiley   +1 more source

Unveiling chaos and stability in advection diffusion reaction systems via advanced dynamical and sensitivity analysis. [PDF]

Sci Rep
Tariq MM, Riaz MB, Kazmi SS, Aziz-Ur-Rehman M.   +3 more
europepmc   +1 more source

A Semi‐Analytic Hybrid Approach for Solving the Buckmaster Equation: Application of the Elzaki Projected Differential Transform Method (EPDTM)

Engineering Reports, Volume 7, Issue 3, March 2025.
The Buckmaster equation's complexity often limits solutions to numerical methods. This study applies the Elzaki projected differential transform method (EPDTM), a semi‐analytic approach, providing precise and efficient solutions for specific and general cases.
Kabir Oluwatobi Idowu, Abdullateef Adedeji, Adedapo Christopher Loyinmi, Guang Lin   +3 more
wiley   +1 more source

Investigating fractal fractional PDEs, electric circuits, and integral inclusions via (ψ,ϕ)-rational type contractions. [PDF]

Sci Rep
Aldwoah K, Shah SK, Hussain S, Almalahi MA, Arko YAS, Hleili M.   +5 more
europepmc   +1 more source

Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids

Environmetrics, Volume 36, Issue 2, March 2025.
ABSTRACT Spatiotemporal causal inference methods are needed to detect the effect of interventions on indirectly measured epidemiological outcomes that go beyond studying spatiotemporal correlations. Chronic wasting disease (CWD) causes neurological degeneration and eventual death to white‐tailed deer (Odocoileus virginianus) in Wisconsin.
Juan Francisco Mandujano Reyes, Ting Fung Ma, Ian P. McGahan, Daniel J. Storm, Daniel P. Walsh, Jun Zhu   +5 more
wiley   +1 more source