Results 91 to 100 of about 23,403 (198)

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Unified one-dimensional finite element for the analysis of hyperelastic soft materials and structures. [PDF]

Mech Adv Mat Struct, 2023
Pagani A, Carrera E.
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Human lungs fluid mechanics: an overview of current modelling techniques. [PDF]

Eur Phys J E Soft Matter
Romanò F.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Inspection of stability of a general roll-damping of a ship via non-perturbative approach. [PDF]

Sci Rep
Moatimid GM, Mohamed MAA, Abohamer MK.
europepmc   +1 more source

Rate of Entropy Production in Stochastic Mechanical Systems. [PDF]

Entropy (Basel), 2021
Chirikjian GS.
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

Investigating various nonlinear vibration problems using VIBRANT: A tool based on Abaqus and Python. [PDF]

PLoS One
Tüfekci M, Sevencan F, Yurdakul O.
europepmc   +1 more source

Nonlinear stochastic modelling with Langevin regression. [PDF]

Proc Math Phys Eng Sci, 2021
Callaham JL, Loiseau JC, Rigas G, Brunton SL.   +3 more
europepmc   +1 more source