Results 201 to 210 of about 504,263 (307)

Universal Oxychlorination Strategy in Halide Solid Electrolytes for All‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A WO2Cl2‐driven oxychlorination strategy enables bulk oxygen incorporation into close‐packed LixMCl6 (M = Zr, Y, Er, In) halide lattices. Oxygen is selectively anchored by W6+ as lattice‐integrated [WO2Cl4]2− units, regulating the anionic framework, diversifying Li coordination, and weakening Li–Cl interactions.
Jae‐Seung Kim   +13 more
wiley   +1 more source

Oxygen‐Driven Structural Reorganization by Trace Water Enabling Fast Li‐Ion Transport in a Pliable Solid Electrolyte

open access: yesAdvanced Energy Materials, EarlyView.
Trace water is acting as a constructive mediator in 2LiCl–GaF3, markedly increasing ionic conductivity while reorganizing local coordination. Hydration creates localized Li+ solvation environments and partially dissociates ion pairs, enhancing Li‐ion mobility.
Youngkyung Kim   +10 more
wiley   +1 more source

Enhancing Ion‐Electron Transport in Positive Electrode of Solid‐State Lithium Metal Batteries With Multifunctional Catholyte Made of Polymer Mixed Ionic‐Electronic Conductor PEDOT:PSSTFSI and Li3InCl6

open access: yesAdvanced Energy Materials, EarlyView.
A mixed ion‐electron conducting polymer binder, PEDOT:PSSTFSI, enhances both ionic and electronic transport in NMC‐based positive electrode composite (PEC) for ASSBs. Optimal polymer loading (0.33 wt.% in PEC) provides the most balanced transport, with an effective conductivities (σel/σion) ratio closest to unity, enabling high discharge capacity at 1 ...
Elina Nazmutdinova   +6 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE 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   +4 more
wiley   +1 more source

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