Results 181 to 190 of about 5,541 (264)

Finite Element Simulation of Hot Rolling for Large-Scale AISI 430 Ferritic Stainless-Steel Slabs Using Industrial Rolling Schedules-Part 1: Set-Up, Optimization, and Validation of Numerical Model. [PDF]

Materials (Basel)
Ojeda-López A, Botana-Galvín M, Collado-García I, González-Rovira L, Botana FJ.   +4 more
europepmc   +1 more source

Role of Wadsley Defects and Cation Disorder to Enhance MoNb12O33 Diffusion

Advanced Energy Materials, EarlyView.
Wadsley‐Roth niobates are high‐rate capable and durable anode materials for lithium‐ion batteries. Defect‐tailoring of MoNb12O33 is shown to substantially enhance lithium diffusion. Computational models were used to separate the effects of cation disorder and Wadsley defects to identify that both led to the occupation of fast diffusion sites at lower ...
CJ Sturgill, Manish Kumar, Nima Karimitari, Iva Milisavljevic, Coby S. Collins, Aaron Hegler, Hsin‐Yun Joy Chao, Santosh Kiran Balijepalli, Scott T. Misture, Christopher Sutton, Morgan Stefik   +10 more
wiley   +1 more source

Lower Extremity Splint Application. [PDF]

J Pediatr Soc North Am
Shihab W, Denning J.
europepmc   +1 more source

Spontaneous Perovskite Passivator Featuring Dual Functional Groups

Advanced Energy Materials, EarlyView.
A novel strategy to suppress multiple defect sites in perovskite crystals using a spontaneous passivator with dual functional groups is proposed, addressing an intrinsic drawback of conventional spontaneous perovskite passivators. 2‐thiophene‐ethyl‐ammonium‐bis(trifluoromethylsulfonyl)imide (TEA‐TFSI) is newly synthesized and successfully demonstrate ...
Naoyuki Nishimura, Yoyo Hinuma, Hiroyuki Kanda, Kohei Yamamoto, Hideyuki Takada, Masaki Yumoto, Daniela Serien, Kenichi Tashiro, Aiko Narazaki, Takurou N. Murakami   +9 more
wiley   +1 more source

Inhomogeneity in electronic phase and flat band in magnetic kagome metal Co₃Sn₂S₂. [PDF]

Commun Mater
Ekahana SA, Okamoto S, Dreiser J, Roduit L, Plokhikh I, Gawryluk DJ, Hunter A, Tamai A, Soh Y.   +8 more
europepmc   +1 more source

Investigation of the Lithium Extraction Mechanism from LiNi0.6Mn0.2Co0.2O2 by Using Operando Neutron Diffraction in an All‐Solid‐State Battery

Advanced Energy Materials, EarlyView.
All‐solid‐state batteries (ASSB) are promising for high‐energy applications. Using a newly designed electrochemical cell, this study demonstrates reversible Li+ insertion/extraction in a thick ASSB and enables operando neutron diffraction. The results reveal structural evolution and H1‐H2 phase coexistence in LiNi0.6Mn0.2Co0.2O2 (NMC622), while ...
Sreelakshmi Anil Kumar, Dhanush Shanbhag, Ove Korjus, Prashanth Sivakumar, Laurence Croguennec, Christian Masquelier, Jean‐Noël Chotard, Emmanuelle Suard   +7 more
wiley   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models

Angewandte Chemie, EarlyView.
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang, Yuanzheng Chen, Chuanyu Liu, Yan Liu, Hongliang Xin, Jiayu Peng, Pengfei Ou, Hao Li   +7 more
wiley   +2 more sources

Finite Element Simulation of Hot Rolling for Large-Scale AISI 430 Ferritic Stainless-Steel Slabs Using Industrial Rolling Schedules-Part 2: Simulation of the Roughing Stage and Comparison with Experimental Results. [PDF]

Materials (Basel)
Ojeda-López A, Botana-Galvín M, Almagro Bello JF, González-Rovira L, Botana FJ.   +4 more
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source