Results 161 to 170 of about 9,492 (275)

Integration of Technologies for Advanced Monitoring and Improved Performance of Filtration/Photocatalysis Systems in Water Treatment. [PDF]

ACS Omega
Rojas-Mantilla HD, Filho JP, Ayala-Durán SC, Zanoni MVB.   +3 more
europepmc   +1 more source

Synthesis of functionalized polyolefins in a new continuous bench‐scale reactor apparatus

AIChE Journal, EarlyView.
Abstract In‐reactor functionalized polyolefins (FPOs), produced by molecular catalysts, are a new class of polymer materials with applications ranging from high performance adhesives to bitumen compatibilization. In this work, we disclose a procedure for the synthesis of FPOs in a new Continuous Bench‐scale Reactor Apparatus (COBRA).
Miloud Bouyahyi, Job Guzman, Travis Conant, Reggie Tennyson, Christoph Brose, Riccardo Conti, Peter Kolb, Andreas Müller   +7 more
wiley   +1 more source

Enhanced control of continuous stirred tank reactor with two-degree-of-freedom PID driven by Kirchhoff's law algorithm. [PDF]

Sci Rep
Yüksek G, Ekinci S, Yılmaz M.
europepmc   +1 more source

Towards an online prognostic system for predicting the axial shrinkage of AGR cores

, 2013
In the UK, there is the desire to extend the operation of the Advanced Gas-cooled Reactor (AGR) power plants beyond their initial design lifetimes of 35 years.
Wallace, Christopher, West, Graeme, McArthur, Stephen   +2 more
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Toward Multi(radio)metalated DNA: Enzymatic Polymerization of Metal‐Chelate‐Modified Deoxyribonucleoside Triphosphates

Angewandte Chemie, EarlyView.
This work presents the first enzymatic polymerization of defined metal‐chelator‐modified nucleotides that leverage polymerase fidelity for uniform (radio)metal loading with successful incorporation of five different metals: Ga, In, Tb, Lu, and Y.
Antonio A. W. L. Wong, François Bénard, David M. Perrin   +2 more
wiley   +2 more sources

Insights into Flow and Continuous Systems in Pharmaceutical Manufacturing: Challenges and Opportunities. [PDF]

Org Process Res Dev
Daly AM, Hardiman S, Hogan D, Morris G, Moylan R, O'Donovan B, Power E, Phillips P, Robinson S, Roth PMC, Smyth M, Magner E, Arthur A, McGlacken GP, Baumann M, Maguire AR.   +15 more
europepmc   +1 more source

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

Experimental evaluation of silicon carbide P-N detectors under thermal and fast neutron irradiation at the RA-6 nuclear research reactor. [PDF]

Sci Rep
Pérez M, Blostein JJ, Zamorano F, Fleta C, Marín J, Pellegrini G, Guardiola C.   +6 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source