Results 181 to 190 of about 1,415,967 (341)

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Photothermal Conversion Promotes Challenging SNAr for Facile C─N Bond Formation

Angewandte Chemie, EarlyView.
Photothermal conversion enables facile aromatic C─N bond formation via red light irradiation. A variety of inter‐ and intramolecular SNAr transformations are achieved under mild, schematically simple conditions. Additionally, a thermally promoted halogen exchange mechanism provides access to aryl bromides, chlorides, and fluorides – making this ...
Megan E. Matter, Rory C. Devin, Erin E. Stache   +2 more
wiley   +2 more sources

Long Used but Hardly Known: Synthesis and Crystal Structure of Tritium Breeding Li₂Be₂O₃. [PDF]

Chemistry
Krach G, Steinadler J, Calaminus R, Lotsch BV, Schnick W.   +4 more
europepmc   +1 more source

DESIGN STUDY OF SMALL POWER TOKAMAK NUCLEAR FUSION REACTOR FOR THE BIOMASS-FUSION HYBRID CONCEPT

, 2012
Kenzo Ibano
openalex   +1 more source

Flibe Use in Fusion Reactors - An Initial Safety Assessment

, 1999
L.C. Cadwallader, G.R. Longhurst
openalex   +2 more sources

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Biomass valorization using 3D-printed catalysts. [PDF]

Commun Chem
Murugesan S, Neacșu VA, Marin MM, Radu IC, Cozorici DE, Blânzeanu E, Zaharia C, Sanoja-Lopez KA, Luque R, Verziu MN.   +9 more
europepmc   +1 more source

Stars as Temporal Reactors: Resolving the Cold Ignition Problem of Stellar Fusion

Lemeshko, Andriy
openalex   +1 more source

Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models

Advanced Intelligent Systems, EarlyView.
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses, Chen Chen, Joan M. Redwing, Wesley F. Reinhart   +3 more
wiley   +1 more source

Brazeability Study of an Additively Manufactured CuCrZr Alloy to Tungsten Using Various Cu-Based Fillers. [PDF]

Materials (Basel)
Izaguirre I, de Prado J, Ordás N, Sánchez M, Ureña A.   +4 more
europepmc   +1 more source