Results 191 to 200 of about 1,820,249 (291)

Noisy quantum learning theory. [PDF]

Nat Commun
Cotler J, Gong W, Kannan I.
europepmc   +1 more source

Letter: George E. Constant to Ida M. Tarbell, May 22, 1917

, 1917
Constant, George E.
core  

Learning regime‐dependent governing equations: A symbolic decision tree approach

AIChE Journal, EarlyView.
Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai, Tongjia Liu, Gabriel E. Sanoja   +2 more
wiley   +1 more source

Catalogue d'ouvrages propres a être donnés pour étrennes, et qui se trouvent au magasin de librairie de Constant Le Tellier, rue de Richelieu, n° 35.

[Catalogue de libraire. Paris. Le Tellier, Constant.

core   +1 more source

A hybrid framework combining microwave sensing and deep learning for real-time soil volumetric water content estimation. [PDF]

Sci Rep
Soliman AM, Elbrashy A, Hussien AH, Elmorsy A.   +3 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Exponential dissipative control for conformable nonlinear dynamical systems. [PDF]

Sci Rep
Dhahri S, Ben Alaia E, Almenwer S, Alanazi A, Gassara H.   +4 more
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Design of Experiments for the Study of High-Power Pulsed Magnetron Sputtering. [PDF]

Materials (Basel)
Shapovalov VI, Sharkovskii DS, Nikolaev AV.   +2 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source