Results 231 to 240 of about 71,508 (300)

Continuous‐Flow Photocatalytic Degradation of Glyphosate and Aminomethylphosphonic Acid Under Simulated Sunlight with TiO2‐Coated Poly(vinylidene fluoride) Membrane

Advanced Functional Materials, EarlyView.
Glyphosate (GLY) and its primary metabolite, aminomethylphosphonic acid (AMPA), are photodegraded using a poly(vinylidene fluoride) membrane with immobilized titanium dioxide (PVDF‐TiO2) in a continuous flow‐through operation under solar light. At optimized conditions, the PVDF‐TiO2 membrane achieved 95% GLY and 80% AMPA removal with •O2− as the ...
Phuong B. Trinh, Siqi Liu, Nurul F. Himma, Béla Fiser, Andrea I. Schäfer   +4 more
wiley   +1 more source

Software-defined self-learning control system for industrial robots by using reinforcement learning. [PDF]

Sci Rep
Moon J, Kim M, Lee T, Um J.
europepmc   +1 more source

Decoupling Size and Electronic Effects in Doped SrTiO3 Photocatalysts Through Surface Area–Normalized CO2 Hydrogenation Rates

Advanced Functional Materials, EarlyView.
Exploring the photocatalytic reverse water–gas shift (RWGS) reaction on doped SrTiO3 nanoparticle films, reveals that normalizing catalytic rates by the catalyst's specific surface area (SSA) disentangled surface area effects from the catalyst's intrinsic material properties.
Dikshita Bhattacharyya, Baliana Shani, Isaac Holmes‐Gentle, Gerardo T Martinez, Martyn McLachlan, Nicola Seriani, Ludmilla Steier   +6 more
wiley   +1 more source

Adaptive neural network based leader-following consensus control for a class of second-order nonlinear multi-agent systems. [PDF]

Sci Rep
Al Samman FM, Khaliq WA, Hilali SO, Niazi AUK, Smerat A.   +4 more
europepmc   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Explainable AI for post-hoc and pseudo-post-hoc predictive maintenance of governor valve actuators. [PDF]

Sci Rep
Tang J, Liu Y, Huang X, Jiang Z, Wu F.
europepmc   +1 more source

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

Advanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker, Thierry Roland, Damien Favier, Antoine Egele, Michael Heymann, Cosima Stubenrauch   +5 more
wiley   +1 more source

Residual-aware health prediction of power transformers via spatiotemporal graph neural networks. [PDF]

PLoS One
Zeng P, Chu G.
europepmc   +1 more source

Electric torque for fault severity diagnosis in gearbox-type load: ML approaches based on Poincaré plot and statistical features. [PDF]

Sci Rep
Cerrada M, Sánchez RV, Ortega LR, Cabrera D, Romero B.   +4 more
europepmc   +1 more source

Thermal fault detection of lithium-ion battery packs through an integrated physics and deep neural network based model. [PDF]

Commun Eng
Naguib M, Chen J, Kollmeyer P, Emadi A.
europepmc   +1 more source