Results 181 to 190 of about 10,431 (261)

Status and future of recombinant adeno‐associated virus vector manufacturing

open access: yesBiotechnology Progress, EarlyView.
Abstract Sixty years of adeno‐associated virus (AAV) research illustrates a trajectory marked by basic science exploration, iterative innovation, persistent challenges, a number of clinical setbacks, as well as commercial therapeutic triumphs. This continual evolution has led to recombinant AAV (rAAV) becoming a cornerstone of modern gene therapy ...
Frank Agbogbo, David Dismuke
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su   +4 more
wiley   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

open access: yesCarbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li   +14 more
wiley   +1 more source

Accelerating the Roll‐Out of Modular Plants: From Engineering and Approval to Operation of Energy‐Efficient Modular Plants

open access: yesChemie Ingenieur Technik, EarlyView.
In the ENPRO REUNION project, a manufacturer‐independent modular plant concept was demonstrated by commissioning a pilot plant that integrated modules from different vendors and by expanding the module pool to include extraction and crystallization units.
Laura Marsollek   +8 more
wiley   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

open access: yesChemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn   +5 more
wiley   +1 more source

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