Results 191 to 200 of about 1,076,657 (296)

Neutronic investigation of alternative & composite burnable poisons for the soluble-boron-free and long life civil marine small modular reactor cores. [PDF]

Sci Rep, 2019
Alam SB, Almutairi B, Ridwan T, Kumar D, Goodwin CS, Atkinson KD, Parks GT.   +6 more
europepmc   +1 more source

Hungarian Fine-to-Coarse Aggregate, a Possible Constituent of Near-Vessel Structural Concrete of Nuclear Power Plants. [PDF]

Materials (Basel), 2023
Gméling K, Szilágyi V, Harsányi I, Szentmiklósi L.   +3 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Site‐Selective Anion‐Cation Regulation of Sulfide Electrolyte Enables Low‐Pressure Dendrite‐Suppressed All‐Solid‐State Lithium Metal Batteries

Angewandte Chemie, EarlyView.
Site‐selective Al/F/Cl regulation couples sulfide‐framework stabilization with favorable interphase chemistry in argyrodite Li6PS5Cl. Al incorporation reinforces the redox‐sensitive tetrahedral framework, while F/Cl regulation promotes Li+ transport and guides the formation of a LiF/LiCl‐rich passivation interphase.
Xinxin Zhu, Xianji Qiao, Ning Qin, Zhiheng Li, Yanqun Lv, Jun Lu, Zaiping Guo   +6 more
wiley   +2 more sources

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Compositional and Structural Diversity in Cesium Superhydrides at High Pressure

Angewandte Chemie, EarlyView.
Through high pressure‐high temperature diamond anvil cell experiments combined with density functional theory calculations, cesium is demonstrated to have remarkably complex and diverse hydride chemistry culminating in the formation of CsH25${\rm CsH}_{25}$, the most hydrogen‐rich metal hydride reported to date.
Mikhail A. Kuzovnikov, Francesco Belli, Hannah A. Shuttleworth, Tomas Marqueño, Israel Osmond, Miriam Peña‐Alvarez, Eva Zurek, Ross T. Howie   +7 more
wiley   +2 more sources

Corrosion Mitigation in Molten Salt Environments. [PDF]

Materials (Basel)
Delpech S, Carrière C, Chmakoff A, Martinelli L, Rodrigues D, Cannes C.   +5 more
europepmc   +1 more source

Control of Sequences and H‐Bonding Motifs in IEM‐Derived Copolymers Enables Mechanical Tunability, Self‐Healing, and Clusterization‐Triggered Emission

Angewandte Chemie, EarlyView.
In IEM‐derived gradient copolymers, the structure of H‐bonding motifs and chain sequence distribution jointly govern mechanical performance, self‐healing, and clusterization‐triggered emission (CTE) behavior. Quadruple H‐bonding motifs in a gradient architecture promote nanoscale clustering that simultaneously tunes modulus across two orders of ...
Hanshu Wu, Abhrojyoti Mazumder, Jirameth Tarnsangpradit, Jihyun Park, Michael R. Bockstaller, Xiaoyue Wang, Krzysztof Matyjaszewski   +6 more
wiley   +2 more sources