Results 191 to 200 of about 1,925,109 (294)

Adsorption Mechanisms and AI‐Driven Discovery of Biomass‐Based CO2 Sorbents

open access: yesSmall, EarlyView.
This review analyzes recent advances in biomass‐derived activated carbons for CO2 capture. It highlights the influence of precursors, activation methods, and surface modifications on adsorption performance. The integration of AI‐driven approaches for material optimization is discussed.
Faezeh Hajiali   +6 more
wiley   +1 more source

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

open access: yesMach Learn Sci Technol
Papillon M   +10 more
europepmc   +1 more source

Morphogenetic Metals through Topology‐Driven Stiffness Changes and Electrochemical Activation

open access: yesSmall, EarlyView.
Morphogenesis in metals is achieved through reversible, electrochemically driven topological changes, which switch stainless‐steel lattices between compliant and stiff states (1.1 MPa–2.6 GPa) at room temperature and with minimal energy input. These topological transitions also allow programmable vibration control and auxetic behavior, establishing a ...
Jungtaek Kim   +4 more
wiley   +1 more source

On Hodge polynomials for nonalgebraic complex manifolds. [PDF]

open access: yesProc Natl Acad Sci U S A
Katzarkov L   +3 more
europepmc   +1 more source

Rate‐type and integral‐type sectional analysis for time‐dependent response with the fib Model Code 2020

open access: yesStructural Concrete, EarlyView.
Abstract This study examines the time‐dependent behavior of reinforced and prestressed concrete structures using integral‐ and rate‐type formulations, applying the concrete creep and steel relaxation models from the fib Model Code 2020. The stress–strain law for aging concrete is expressed by a second‐order differential equation, but a single rate‐type
Mauro Schulz
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

Tensor Decomposition‐Based Model Order Reduction Applied to Multi‐Parameter Electromagnetic Problems in the Context of Digital Twins

open access: yesHigh Voltage, EarlyView.
ABSTRACT Digital twin is considered the key technique for real‐time monitoring and life‐cycle management of electric equipment. To construct the digital twin model of electric equipment, a multi‐parameter electromagnetic analysis is needed to generate a large amount of high fidelity data under various working condition.
Ze Guo, Zuqi Tang, Zhuoxiang Ren
wiley   +1 more source

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