Results 211 to 220 of about 142,937 (344)

Solar nuclear waste disposal [PDF]

Nature, 1977
openaire   +1 more source

A multi-attribute analysis of nuclear waste disposal alternatives

, 1991
Asif A. Taiyabi
openalex   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Improved Pitzer activity model for Tc(iv) solubility and hydrolysis in the Tc(iv)-Na⁺-K⁺-Ca²⁺-Mg²⁺-H⁺-Cl^--OH^--H₂O(l) system. [PDF]

RSC Adv
Kiefer C, Fellhauer D, Altmaier M, Gaona X.   +3 more
europepmc   +1 more source

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

Advanced Intelligent Systems, EarlyView.
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu, Xiaoxu Li, Yifu Feng, Zheming Wang, Kevin M. Rosso, Xiaofeng Guo, Xin Zhang   +6 more
wiley   +1 more source

What the public wants to know about the recycling of contaminated soil. [PDF]

PLoS One
Terada ST, Matsunaga H, Zabirowa A, Watanabe T, Kashiwazaki Y, Orita M, Schneider T, Takamura N.   +7 more
europepmc   +1 more source

The Electrochemical and Corrosion Study of Copper for Nuclear Waste Containers under Deep Geological Disposal Conditions

, 2020
Mengnan Guo
openalex   +1 more source

AN ELECTROMAGNETIC-WAVE APPROACH FOR NON-CONTACT DISPLACEMENT MEASUREMENT IN A GEOLOGICAL NUCLEAR WASTE DISPOSAL

, 2019
Mauro Cappelli, V. Surrenti
openalex   +1 more source

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

Advanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim, Mirza M. A. Tunur, Fahad Arefin, Shahad Saroar, Md. Wahadoszamen, Taslim Ur Rashid, Aminul I. Talukder, Md. Nurul Amin, Mahmudur Rahman, Ahsan Habib   +9 more
wiley   +1 more source

Preliminary Study of Microbial Corrosion of Stainless Steel AISI 304 Under Conditions Simulating Deep Radioactive Waste Disposal. [PDF]

Materials (Basel)
Abramova E, Tripachev O, Shapagina N, Safonov A.   +3 more
europepmc   +1 more source