Results 191 to 200 of about 506,427 (304)

Suppressing Dendrite Formation through Au‐Driven Interfacial Engineering for Solid‐State Lithium‐Metal Batteries

Advanced Energy Materials, EarlyView.
A thin gold nanolayer on lithium metal enables stable and uniform lithium plating in solid‐state batteries, enabling nearly 1 year and 11 months of continuous operation. The conductive coating lowers interfacial resistance, suppresses dendrite growth, and improves cycling stability, attributed to homogeneous deposition of Li+ on the gold layer ...
Natalia Voronina, Seyo Oh, Bibin Jose, Jongchan Park, Sun Kim, Jinhong Park, Kwang Heo, Jae‐Hong Lim, Chan‐Woo Lee, Payam Kaghazchi, Seung‐Taek Myung   +10 more
wiley   +1 more source

Enhancing power quality of pv grid-connected system through mantis shrimp optimization algorithm for optimal Dc bus voltage control. [PDF]

Sci Rep
Boukhdenna AE, Afghoul H, Zabia DE, Abdelmalek F, Nettari Y, Alharbi SS, Alharbi SS.   +6 more
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

Probing Steady‐State Carrier Properties and Charge Transport in Covalent Organic Framework by Frequency‐Domain Terahertz Spectroscopy

Angewandte Chemie, EarlyView.
This work reports a combined frequency‐domain and time‐domain terahertz (THz) spectroscopic approach to elucidate intrinsic carrier properties and transport mechanisms in framework materials over the extended 0.5–20 THz region. Subtle structural and chemical variations are shown to strongly influence THz charge‐transport behavior across the far ...
Satyapriya Nath, Saiprakash Rout, Mahalaxmi Samal, Snehal Haldankar, Md Habib Ahsan, Anol Mondal, Sudeep Tiwari, Adithyan Puthukkudi, Avani KV, Ashis K. Nandy, Shriganesh S. Prabhu, Himansu S. Biswal, Xinliang Feng, Bishnu P. Biswal   +13 more
wiley   +2 more sources

Hybrid Forecast-Enabled Adaptive Crowbar Coordination for LVRT Enhancement in DFIG Wind Turbines. [PDF]

Entropy (Basel)
Su X, Kim H, Kim C, Zhang M, Jung H.
europepmc   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Author Correction: Potential impact and cost-effectiveness of long-acting injectable lenacapavir plus cabotegravir as HIV treatment in Africa. [PDF]

Nat Commun
Phillips A, Smith J, Bansi-Matharu L, Sikwese K, Kityo C, Flexner C, Vitoria M, Ford N, Doherty M, Panos Z, Ripin D, Hickey M, Havlir D, Gandhi M, Reid M, Revill P.   +15 more
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Real-Time stability enhancement of DDPMSG-based tidal hybrid power systems using heuristic optimization. [PDF]

Sci Rep
Bhutto JK, Mohanty A, Mohanty PP, Satpathy AS, Das SR.   +4 more
europepmc   +1 more source